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How do antidepressants affect sexual function?
Patients treated with selective serotonin reuptake inhibitors (SSRIs) and the serotonin/norepinephrine reuptake inhibitor (SNRI) venlafaxine have significantly higher rates of overall sexual dysfunction—including desire, arousal, and orgasm—than patients treated with placebo (strength of recommendation [SOR]: B, randomized controlled trials [RCTs] with heterogeneous results). Patients treated with bupropion, a norepinephrine-dopamine reuptake inhibitor (NDRI), have rates of overall sexual dysfunction comparable to placebo (SOR: B, RCTs with heterogeneous results).
EVIDENCE SUMMARY
In a meta-analysis of 31 studies with 10,130 patients, researchers reported that the total rate of sexual dysfunction (SD) associated with selective serotonin reuptake inhibitors (SSRIs) was significantly higher than the placebo rate of 14.2% (TABLE).1 The SSRIs citalopram, fluoxetine, paroxetine, and sertraline as well as the SNRI venlafaxine, had significantly greater rates (70%-80%) of reported total sexual dysfunction, including desire, arousal, and orgasm, than placebo.
Bupropion has sexual dysfunction rates comparable to placebo
Other SSRIs (fluvoxamine, escitalopram), the tricyclic antidepressant imipramine, and the SNRI duloxetine also had total SD rates significantly greater than placebo. However, the rates of dysfunction with these agents are often lower than the dysfunction rates of SSRIs such as sertraline and citalopram, and thus, may be viewed as falling into an intermediate risk category. The total SD rates for the NDRI bupropion were comparable to the placebo rate.1
With few exceptions, all drugs associated with overall SD were associated with significant dysfunction affecting the sexual components of desire, arousal, and orgasm. The results of this meta-analysis should be interpreted with some degree of caution because methods of assessing SD varied within individual studies.
AHRQ weighs in
An Agency for Healthcare Research and Quality (AHRQ) review of antidepressants found that paroxetine, citalopram, and venlafaxine, when compared with other antidepressants (fluoxetine, fluvoxamine, nefazodone, sertraline), generally were associated with more reports of SD, specifically complaints of erectile dysfunction in men and decreased vaginal lubrication in women. 2 The number needed to treat one additional person with general sexual functioning satisfaction was 6 (95% CI, 4-9) with buproprion.2
RECOMMENDATIONS
The American College of Physicians’ clinical practice guidelines suggest that although SD is likely underreported, the NDRI bupropion has consistently shown lower rates of associated dysfunction than the SSRIs fluoxetine and sertraline.3 Conversely, the SSRI paroxetine has shown higher rates of adverse sexual events than other SSRIs, such as fluoxetine and fluvoxamine, and the serotonin reuptake inhibitor/antagonist nefazodone.3
1. Serretti A, Chiesa A. Treatment-emergent sexual dysfunction related to antidepressants: a meta-analysis. J Clin Psychopharmacol. 2009;29:259-266.
2. Garlehner G, Hansen R, Thieda P, et al. Comparative Effectiveness of Second-Generation Antidepressants in the Pharmacologic Treatment of Adult Depression: Comparative Effectiveness Review Number 7. Rockville, MD; Agency for Healthcare Research and Quality; 2007. Available at: www.effectivehealthcare.ahrq.gov/ehc/products/7/59/Antidepressants_Final_Report.pdf. Accessed: March 5, 2012.
3. Qaseem A, Snow V, Denberg TD, et al; Clinical Efficacy Assessment Subcomittee of Physicians. Using second-generation antidepressants to treat depressive disorders: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2008;149:725-733.
Patients treated with selective serotonin reuptake inhibitors (SSRIs) and the serotonin/norepinephrine reuptake inhibitor (SNRI) venlafaxine have significantly higher rates of overall sexual dysfunction—including desire, arousal, and orgasm—than patients treated with placebo (strength of recommendation [SOR]: B, randomized controlled trials [RCTs] with heterogeneous results). Patients treated with bupropion, a norepinephrine-dopamine reuptake inhibitor (NDRI), have rates of overall sexual dysfunction comparable to placebo (SOR: B, RCTs with heterogeneous results).
EVIDENCE SUMMARY
In a meta-analysis of 31 studies with 10,130 patients, researchers reported that the total rate of sexual dysfunction (SD) associated with selective serotonin reuptake inhibitors (SSRIs) was significantly higher than the placebo rate of 14.2% (TABLE).1 The SSRIs citalopram, fluoxetine, paroxetine, and sertraline as well as the SNRI venlafaxine, had significantly greater rates (70%-80%) of reported total sexual dysfunction, including desire, arousal, and orgasm, than placebo.
Bupropion has sexual dysfunction rates comparable to placebo
Other SSRIs (fluvoxamine, escitalopram), the tricyclic antidepressant imipramine, and the SNRI duloxetine also had total SD rates significantly greater than placebo. However, the rates of dysfunction with these agents are often lower than the dysfunction rates of SSRIs such as sertraline and citalopram, and thus, may be viewed as falling into an intermediate risk category. The total SD rates for the NDRI bupropion were comparable to the placebo rate.1
With few exceptions, all drugs associated with overall SD were associated with significant dysfunction affecting the sexual components of desire, arousal, and orgasm. The results of this meta-analysis should be interpreted with some degree of caution because methods of assessing SD varied within individual studies.
AHRQ weighs in
An Agency for Healthcare Research and Quality (AHRQ) review of antidepressants found that paroxetine, citalopram, and venlafaxine, when compared with other antidepressants (fluoxetine, fluvoxamine, nefazodone, sertraline), generally were associated with more reports of SD, specifically complaints of erectile dysfunction in men and decreased vaginal lubrication in women. 2 The number needed to treat one additional person with general sexual functioning satisfaction was 6 (95% CI, 4-9) with buproprion.2
RECOMMENDATIONS
The American College of Physicians’ clinical practice guidelines suggest that although SD is likely underreported, the NDRI bupropion has consistently shown lower rates of associated dysfunction than the SSRIs fluoxetine and sertraline.3 Conversely, the SSRI paroxetine has shown higher rates of adverse sexual events than other SSRIs, such as fluoxetine and fluvoxamine, and the serotonin reuptake inhibitor/antagonist nefazodone.3
Patients treated with selective serotonin reuptake inhibitors (SSRIs) and the serotonin/norepinephrine reuptake inhibitor (SNRI) venlafaxine have significantly higher rates of overall sexual dysfunction—including desire, arousal, and orgasm—than patients treated with placebo (strength of recommendation [SOR]: B, randomized controlled trials [RCTs] with heterogeneous results). Patients treated with bupropion, a norepinephrine-dopamine reuptake inhibitor (NDRI), have rates of overall sexual dysfunction comparable to placebo (SOR: B, RCTs with heterogeneous results).
EVIDENCE SUMMARY
In a meta-analysis of 31 studies with 10,130 patients, researchers reported that the total rate of sexual dysfunction (SD) associated with selective serotonin reuptake inhibitors (SSRIs) was significantly higher than the placebo rate of 14.2% (TABLE).1 The SSRIs citalopram, fluoxetine, paroxetine, and sertraline as well as the SNRI venlafaxine, had significantly greater rates (70%-80%) of reported total sexual dysfunction, including desire, arousal, and orgasm, than placebo.
Bupropion has sexual dysfunction rates comparable to placebo
Other SSRIs (fluvoxamine, escitalopram), the tricyclic antidepressant imipramine, and the SNRI duloxetine also had total SD rates significantly greater than placebo. However, the rates of dysfunction with these agents are often lower than the dysfunction rates of SSRIs such as sertraline and citalopram, and thus, may be viewed as falling into an intermediate risk category. The total SD rates for the NDRI bupropion were comparable to the placebo rate.1
With few exceptions, all drugs associated with overall SD were associated with significant dysfunction affecting the sexual components of desire, arousal, and orgasm. The results of this meta-analysis should be interpreted with some degree of caution because methods of assessing SD varied within individual studies.
AHRQ weighs in
An Agency for Healthcare Research and Quality (AHRQ) review of antidepressants found that paroxetine, citalopram, and venlafaxine, when compared with other antidepressants (fluoxetine, fluvoxamine, nefazodone, sertraline), generally were associated with more reports of SD, specifically complaints of erectile dysfunction in men and decreased vaginal lubrication in women. 2 The number needed to treat one additional person with general sexual functioning satisfaction was 6 (95% CI, 4-9) with buproprion.2
RECOMMENDATIONS
The American College of Physicians’ clinical practice guidelines suggest that although SD is likely underreported, the NDRI bupropion has consistently shown lower rates of associated dysfunction than the SSRIs fluoxetine and sertraline.3 Conversely, the SSRI paroxetine has shown higher rates of adverse sexual events than other SSRIs, such as fluoxetine and fluvoxamine, and the serotonin reuptake inhibitor/antagonist nefazodone.3
1. Serretti A, Chiesa A. Treatment-emergent sexual dysfunction related to antidepressants: a meta-analysis. J Clin Psychopharmacol. 2009;29:259-266.
2. Garlehner G, Hansen R, Thieda P, et al. Comparative Effectiveness of Second-Generation Antidepressants in the Pharmacologic Treatment of Adult Depression: Comparative Effectiveness Review Number 7. Rockville, MD; Agency for Healthcare Research and Quality; 2007. Available at: www.effectivehealthcare.ahrq.gov/ehc/products/7/59/Antidepressants_Final_Report.pdf. Accessed: March 5, 2012.
3. Qaseem A, Snow V, Denberg TD, et al; Clinical Efficacy Assessment Subcomittee of Physicians. Using second-generation antidepressants to treat depressive disorders: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2008;149:725-733.
1. Serretti A, Chiesa A. Treatment-emergent sexual dysfunction related to antidepressants: a meta-analysis. J Clin Psychopharmacol. 2009;29:259-266.
2. Garlehner G, Hansen R, Thieda P, et al. Comparative Effectiveness of Second-Generation Antidepressants in the Pharmacologic Treatment of Adult Depression: Comparative Effectiveness Review Number 7. Rockville, MD; Agency for Healthcare Research and Quality; 2007. Available at: www.effectivehealthcare.ahrq.gov/ehc/products/7/59/Antidepressants_Final_Report.pdf. Accessed: March 5, 2012.
3. Qaseem A, Snow V, Denberg TD, et al; Clinical Efficacy Assessment Subcomittee of Physicians. Using second-generation antidepressants to treat depressive disorders: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2008;149:725-733.
Evidence-based answers from the Family Physicians Inquiries Network
Fecal incontinence: Help for patients who suffer silently
› Consider adding a question about fecal incontinence—a condition often unreported by patients and undetected by physicians—to your medical intake form. C
› Use bowel diaries and fecal incontinence grading systems, as needed, to better understand the extent of the problem and assess the effects of treatment. C
› Consider sacral nerve stimulation, the first-line surgical treatment for fecal incontinence, for those who fail to respond to medical therapies. B
Strength of recommendation (SOR)
A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series
Estimates suggest that about 18 million adults in the United States suffer from fecal incontinence.1 But because the condition often goes unreported by patients and undetected by physicians, the actual prevalence is not known—and may be considerably higher.
What is known is that fecal incontinence carries a substantial socioeconomic burden. The average annual per patient cost is estimated at $4110.2 But fecal incontinence also exacts a heavy personal toll, and is one of the main reasons elderly individuals are placed in nursing homes.3
But it’s not just the elderly who are affected. A recent study of women ages 45 years and older found that nearly one in 5 had an episode of fecal incontinence at least once a year, and for nearly half, the frequency was once a month or more.4 Less than 3 in 10 reported their symptoms to a clinician, but those who did were most likely to have confided in their primary care physician.5
Fortunately, recent developments—most notably, sacral nerve stimulation, a minimally invasive surgical technique with a high success rate—have changed the outlook for patients with fecal incontinence. Here’s what you need to know to help patients who suffer from this embarrassing condition achieve optimal outcomes.
Risk factors and key causes
Maintaining fecal continence involves a complex series of events, both voluntary and involuntary. Problems at various levels—stool consistency, anatomic and neurologic abnormalities, and psychological problems among them—can disrupt the process.
Those at high risk for fecal incontinence, in addition to the elderly, include patients who are mentally ill and institutionalized, individuals with neurologic disorders, patients who have had anorectal surgery, and women who have had vaginal deliveries.6-8 Obstetric and operative injuries account for most cases of fecal incontinence.9-10
Sphincter defects including attenuation and scarring (shown here), are commonly caused by obstetric and operative injuries.
Risks of vaginal delivery
As many as 25% of women report some degree of fecal incontinence—although often confined to loss of control of flatus—3 months after giving birth.11 Stool incontinence is more frequent among women who sustained third- or fourth-degree perineal tears. Obstetrical risk factors include first vaginal birth, median episiotomy, forceps delivery, vacuum-assisted delivery, and a prolonged second stage of labor.
Asymptomatic sphincter defects. Studies in which women underwent endosonographic examination of the sphincter complex both before and after vaginal delivery have found sphincter defects in anywhere from 7% to 41% of new mothers.12-14 It is important to note, however, that as many as 70% of those with defects detected by sonogram were asymptomatic.15 (Despite the risk of sphincter injury during vaginal delivery and evidence suggesting that the risk of fecal incontinence increases with additional deliveries after a previous perineal tear, prophylactic cesarean section is not recommended.)
Fistula surgery and postop incontinence
Fistula surgery is the primary cause of postoperative incontinence, typically resulting from inadvertent injury to either the internal or external sphincter muscle.16 Other relatively common causes of fecal incontinence are rectal prolapse, trauma, irradiation, neurologic and demyelinating disorders such as multiple sclerosis, neoplasms, stroke, infection (eg, of a perineal wound), and diabetes.17 As diagnostic modalities have improved, much of what was previously termed idiopathic incontinence has been found to have identifiable underlying pathology, such as pudendal and inferior hypogastric neuropathies.18-20
Identifying fecal incontinence starts with a single question
As already noted, most patients with symptoms of bowel leakage do not voluntarily mention it to their physician. Many are likely to acknowledge the problem, however, if they’re specifically asked. While little has been written about how best to screen for fecal incontinence, simply adding it to the checklist on your medical intake form may be a good starting point.
Follow up with a targeted history and physical
When a patient checks fecal incontinence on a form or broaches the subject, it is important to question him or her about medical conditions that may be related. These include urinary incontinence, prolapsing tissue, diabetes, and a history of radiation, as well as childbirth. A medication history is also needed, as certain drugs—including some antacids and laxatives—have been implicated in fecal incontinence.21
Physical assessment should include a general neurologic exam as well as a perineal exam, to look for prolapsing tissue and evidence of scars from prior surgery or obstetrical trauma. Check the anocutaneous reflex by stroking the perianal skin. Absence of the anal wink in a younger patient is likely associated with nerve damage; in an older patient, it may simply indicate muscle weakness. Perform a digital rectal exam to assess for normal resting tone and augmentation with squeeze, regardless of the patient’s age.
Use tools to assess the severity
Anal incontinence can be broadly characterized as complete or partial. Numerous other systems have been proposed for classifying severity, the simplest of which has the following 4 components:
A: Continent of solid, liquid, and flatus (complete continence)
B: Continent of solid and liquid, but not flatus
C: Continent of solid, but not liquid or flatus
D: Continued fecal leakage (complete incontinence).22
Although this classification system may be helpful, it yields little information about the significance of the problem from the patient’s perspective.23 Thus, scales that take into account both the frequency of incontinence episodes and the extent of both the mental and physical impact are used more frequently.
One of the most widely used scales is the Cleveland Clinic Fecal Incontinence Score (TABLE),24 which quantifies both the frequency and type of incontinence and scores the level of severity. Fecal incontinence quality of life scales are available, as well, and include questions about the impact on the patient’s lifestyle, coping behavior, mood, and level of embarrassment.25
Even without a quality of life scale, a couple of targeted questions—(eg, Are you ever afraid to go out? Do you worry about others smelling stool on you?)—will give you an idea of how great an impact fecal incontinence is having on your patient’s life. Asking patients to keep bowel diaries can also be helpful in assessing the extent of the problem and the effect of treatment.
Next steps: Start with modifiable risks
While there are numerous diagnostic tests for fecal incontinence (more about these in a bit), none is necessary for initial treatment, which starts with modifiable risks. Chief among them is smoking.
Smoking cessation. Nicotine is believed to have a direct effect on colonic transit and rectal compliance.26 Thus, smoking is associated with an increased risk for fecal incontinence, independent of chronic cough or chronic obstructive pulmonary disease. Patients should be advised to quit smoking and referred to a smoking cessation program.
Dietary fiber. Diet may be a factor in fecal incontinence, as well. Ask patients to record everything they eat, and advise those with a low intake of dietary fiber to eat more fruits, vegetables, whole grains, and other high-fiber food. Recommend that they avoid caffeine and alcohol, as well.
Some medications may also affect stool form and frequency, and precipitate fecal incontinence. Common offenders, in addition to laxatives and antacids, include antibiotics, proton pump inhibitors, and senna-based colon cleansers.27 Consider a switch to another drug class. A trial with a drug thought to improve bowel continence is recommended, as well.
Prescribe pharmacologic treatment
Kaolin, pectin, bulking agents, bismuth salts, anticholinergics, opium derivatives, diphenoxylate/atropine, and loperamide have all been used to treat fecal incontinence, with variable success. Loperamide, the drug most extensively studied for this purpose, has been found to increase resting anal pressure and improve anal sphincter function and continence by acting directly on the circular and longitudinal muscles of the bowel.28
Amitriptyline has also been used empirically, with some success. It is believed to work by decreasing the frequency and amplitude of rectal motor complexes.29 Clonidine in the form of a transdermal patch has been shown to increase the number of problem-free days and overall quality of life for patients with fecal incontinence.30
Consider biofeedback
Biofeedback training is often the next step after pharmacologic treatment. It has been investigated for the treatment of fecal incontinence, and many patients—particularly if they are highly motivated—have reported improvement.31 Therapy generally has 3 components: exercising the external sphincter complex, training in the discrimination of rectal sensations, and developing synchrony of the internal and external sphincter responses during rectal distension.
The goal is for the patient to learn to contract the sphincter in response to small amounts of rectal distension.
But a significant time commitment on the part of the patient and sophisticated apparatus are necessary to carry out such therapy, and only a few randomized controlled trials (RCTs) have evaluated the effect. The largest RCT had 4 arms: a standard care group; standard care plus instruction on sphincter exercises; standard care with sphincter exercises and biofeedback; and standard care with sphincter exercises, biofeedback, and training at home.32
All 4 groups had similar improvement in symptoms, raising questions about the therapeutic value of biofeedback.32 Long-term studies have found that 60% to 80% of patients will continue to have episodes of incontinence after undergoing biofeedback. A Cochrane review of RCTs concluded that there is not enough evidence to judge whether sphincter exercises and biofeedback are effective in reducing fecal incontinence.33
Still no relief? Order tests and consider surgery
For patients with fecal incontinence refractory to conservative management, more sophisticated diagnostic studies can provide invaluable information for guiding further treatment.
Endoanal ultrasound is considered the gold standard diagnostic test for fecal incontinence. It is superior to electromyography in terms of availability, patient tolerance, and ability to assess the internal anal sphincter, except in cases in which nerve injury is suspected.34
Other tests sometimes used to pinpoint the cause of fecal incontinence include an enema challenge (which can differentiate between liquid and solid incontinence) and anal manometry (which can quantify anal sphincter tone). Defecography (which makes it possible to visualize the rectal emptying process) can be helpful if a diagnosis of rectal prolapse is being considered.
Magnetic resonance imaging is among the most costly diagnostic studies associated with fecal incontinence. But it is the only modality that can depict the morphology of the external sphincter and the presence of muscle atrophy—providing information that has been shown to significantly improve the likelihood of successful sphincter repair.35
A wider range of surgical options
When medical therapy and biofeedback fail to produce adequate results, referral to a colorectal surgeon is appropriate. (Although conservative management is frequently unsuccessful, health plans typically require that they be attempted before surgical intervention is considered.)
Sphincteroplasty, or anterior anal sphincter repair, addresses the most common cause of fecal incontinence—and is still a common surgical procedure.36 Sphincteroplasty generally has good to excellent results, providing there is sufficient muscle mass for a successful repair.37,38
The procedure involves dissecting the sphincter complex from the surrounding anoderm, then overlapping the edges of the sphincter muscle and suturing them together. Continence has been reported nearly 80% of the time, although a longer duration of fecal incontinence and incontinence secondary to operative injury of the sphincter are risk factors for poorer outcomes.39,40
Recent studies have called into question the durability of anterior sphincter repair. A systematic review of 16 studies reporting short- and long-term outcomes for more than 900 patients found that all but one of the studies showed a decline over time in the number of patients who were happy with the outcome.39
Sacral nerve stimulation is first-line surgical treatment
Sacral nerve stimulation (SNS) is the most promising development in the treatment of fecal incontinence. In the last decade, SNS has become the first-line surgical treatment for patients for whom medical and behavioral therapy are unsuccessful.40
A minimally invasive procedure that involves an implantable device, SNS is always preceded by an effectiveness trial in which a finder needle is percutaneously inserted into the third sacral foramen. Stimulation should result in immediate contraction of the pelvic floor and external sphincter and plantar flexion of the big toe.
The next step is the insertion of a temporary stimulator lead, which remains in place for a 2- to 3-week test of low-frequency stimulation. If significant reduction in the number of incontinence episodes during the trial period occurs, the device is inserted (See “Sacral nerve stimulation: A case study” above).
Improvement in fecal continence has been reported to be as high as 100% in some cases, with up to 75% of patients achieving complete continence.41 While the mechanism involved remains unclear, multiple studies have confirmed its effectiveness.42,43
Posterior tibial nerve stimulation is another recent development, in which a small, thin lead is placed at the posterior tibial nerve, then connected to a temporary stimulator. Less data are available for this treatment, but a recent review summarized the findings of 8 published studies and found success rates ranging from 30% to 83%.44
The Secca procedure—a relatively new therapy that delivers radiofrequency energy to the anal sphincter—is another option, believed to work by reducing compliance of the sphincter complex and the level of tolerable rectal distension.45 Procedures using injectable bulking materials and fat grafting around the sphincter complex have demonstrated some promise, as well.46
A number of other surgical modalities are available, and often effective under certain circumstances. Among them are rotational and free muscle transfers, used only in cases in which the bulk of the sphincter complex has been destroyed.47,48 Implantable anal sphincters (made from human muscle and nerve cells) are occasionally used, as well, but frequently need to be removed because of infection.49-51
Regardless of the type of treatment they receive, patients often do not achieve total continence. Anyone who continues to have occasional episodes of fecal incontinence or leakage should be advised to wear incontinence pads, as needed.
Consider colostomy when incontinence is severe
For patients with fecal incontinence severe enough to be disabling—often as a result of irradiation—colostomy remains a tried and true treatment. The rectum can either be left intact or a proctectomy performed in concert with ostomy creation. Most studies evaluating colostomy for the treatment of incontinence have found that it significantly improves the quality of life and that most patients say they would choose to undergo the procedure again.52
1. Whitehead WE, Borrud L, Goode PS, et al. Fecal incontinence in US adults: epidemiology and risk factors. Gastroenterology. 2009;137:512-517.
2. Xu X, Menees SB, Zochowski MK, et al. Economic cost of fecal incontinence. Dis Colon Rectum. 2012;55:586-598.
3. Grover M, Busby-Whitehead J, Palmer MH, et al. Survey of geriatricians on the impact of fecal incontinence on nursing home referral. J Am Geriatr Soc. 2010;58:1058-1062.
4. Brown HW, Wexner SD, Segall MM, et al. Accidental bowel leakage in the mature women’s health study: prevalence and predictors. Int Clin Pract. 2012;66:1101–1108.
5. Brown HW, Wexner SD, Segall MM, et al. Quality of life impact in women with accidental bowel leakage. Int Clin Pract. 2012;66:1109–1116.
6. Townsend MK, Matthews CA, Whitehead WE, et al. Risk factors for fecal incontinence in older women. Am J Gastroenterol. 2013;108:113-119.
7. Sundquist JC. Long-term outcome after obstetric injury: a retrospective study. Acta Obstet Gynecol Scand. 2012 Jun;91:715-718.
8. Planting A, Phang PT, Raval MJ, et al. Transanal endoscopic microsurgery: impact on fecal incontinence and quality of life. Can J Surg. 2013;56:243-248.
9. Ctercteko GC, Fazio VW, Jagelman DG, et al. Anal sphincter repair: a report of 60 cases and review of the literature. Aust N Z J Surg. 1988;58:703–710.
10. Keighley MRB, Fielding JWL. Management of faecal incontinence and results of surgical treatment. Br J Surg. 1983;70: 463–468.
11. Eason E, Labrecque M, Marcoux S, et al. Anal incontinence after childbirth. CMAJ. 2002;166:326–330.
12. Rieger N, Schloithe A, Saccone G, et al. A prospective study of analsphincter injury due to childbirth. Scand J Gastroenterol. 1998;33:950–955.
13. Zetterstrom J, Mellgren A, Jensen LL, et al. Effect of delivery on anal sphinctermorphology and function. Dis Colon Rectum. 1999;42:1253–1260.
14. Varma A, Gunn J, Gardiner A, et al. Obstetric anal sphincter injury: prospective evaluation of incidence. Dis Colon Rectum. 1999;42:1537–1543.
15. Oberwalder M, Connor J, Wexner SD. Meta-analysis to determine the incidence of obstetric anal sphincter damage. Br J Surg. 2003;90:1333–1337.
16. Lindsey I, Jones OM, Smilgin-Humphreys MM, et al. Patterns of fecal incontinence after anal surgery. Dis Colon Rectum. 2004;47:1643–1649.
17. National Digestive Diseases Information Clearinghouse. Fecal
incontinence. Available at: http://digestive.niddk.nih.gov/ddiseases/pubs/fecalincontinence. Accessed October 20, 2013.
18. Roig JV, Villoslada C, Lledo S, et al. Prevalence of pudendal neuropathy in fecal incontinence. Results of a prospective study. Dis Colon Rectum. 1995;38:952–958.
19. Swash M, Gray A, Lubowski DZ, et al. Ultrastructural changes in internal sphincter in neurogenic incontinence. Gut. 1988;29:1692–1698.
20. Rogers J, Henry MM, Misiewicz JJ. Combined sensory and motor deficit in primary fecal incontinence. Gut. 1988;29:5–9.
21. Medline Plus Web site. Bowel incontinence. Available at: http://www.nlm.nih.gov/medlineplus/ency/article/003135.htm. Accessed October 20, 2013.
22. Browning GP, Parks AG. Post anal repair for neuropathic fecal incontinence: correlation of clinical result and anal canal pressures. Br J Surg. 1983;70:101–104.
23. Baxter NN, Rothenberger DA, Lowry AC. Measuring fecal incontinence. Dis Colon Rectum. 2003;46:1591–1605.
24. Jorge JM, Wexner SD. Etiology and management of fecal incontinence. Dis Colon Rectum. 1993;36:77–97.
25. American Society of Colon & Rectal Surgeons Web site. Fecal incontinence quality of life scale. Available at: http://www.fascrs.org/physicians/Fecal_Incontinence_Quality_of_Life_Scale/. Accessed October 20, 2013.
26. Bharucha AE, Zinsmeister AR, Schleck CD, et al. Bowel disturbances are the most important risk factor for late onset fecal incontinence: a population based case-control study in women. Gastroenterology. 2010;139:1559-1566.
27. MedlinePlus Web site. Drug-induced diarrhea. Available at: http://www.nlm.nih.gov/medlineplus/ency/article/000293.htm. Accessed October 21, 2013.
28. Hallgren T, Fasth S, Delbro DS, et al. Loperamide improves anal sphincter function and continence after restorative proctocolectomy. Dig Dis Sci. 1994;39:2612-2618.
29. Santoro GA, Eitan BZ, Pryde A, et al. Open study of low-dose amitriptyline in the treatment of patients with idiopathic fecal incontinence. Dis Colon Rectum. 2000;43:1676-1681.
30. Bharucha AE, Seide BM, Zinsmeister AR, et al. The effects of clonodine on symptoms and anorectal sensoriomotor function in women with faecal incontinence. Aliment Pharmacol Ther. 2010;32:681-688.
31. Engel BT, Nikoomnesh P, Schuster MM. Operant conditioning of rectosphincteric responses in the treatment of fecal incontinence. N Engl J Med. 1974;290:646-649.
32. Norton C, Chelvanayagam S, Wilson-Barnett J, et al. Randomized controlled trial of biofeedback for fecal incontinence. Gastroenterology. 2003;125:1320–1329.
33. Norton C, Cody JD, Hosker G. Biofeedback and/or sphincter exercises for the treatment of fecal incontinence in adults. Cochrane Database Syst Rev. 2006;(3):CD002111.
34. Sultan AH, Nicholls RJ, Kamm MA, et al. Anal endosonography and correlation with in vitro and in vivo anatomy. Br J Surg. 1993; 80:508–511.
35. Briel JW, Stoker J, Rociu E, et al. External anal sphincter atrophy on endoanal MRI adversely affects continence after sphincteroplasty. Br J Surg. 1999;86:1322–1327.
36. Goetz LH, Lowry AC. Overlapping sphincteroplasty: is it the standard of care? Clin Colon Rectal Surg. 2005;18:22-31.
37. El-Gazzazz G, Zutshi M, Hannaway C, et al. Overlapping sphincter repair: does age matter? Dis Colon Rectum. 2012;55:256-261.
38. Glasgow SC, Lowry AC. Long-term outcomes of anal sphincter repair for fecal incontinence: a systematic review. Dis Colon Rectum. 2012;55:482-490.
39. Lehto K, Hyoty M, Collin P, et al. Seven-year follow-up after anterior sphincter reconstruction for faecal incontinence. Int J Colorectal Dis. 2013;5:653-658.
40. George AT, Kalmar K, Panarese A, et al. Long-term outcomes of sacral nerve stimulation for fecal incontinence. Dis Colon Rectum. 2012;55:302-306.
41. Jarrett MED, Mowatt G, Glazener CMA, et al. Systematic review of sacral nerve stimulation for faecal incontinence and constipation. Br J Surg. 2004;91:1559–1569.
42. Melenhorst J, Koch SM, Uludag O, et al. Is a morphologically intact anal sphincter necessary for success with sacral nerve modulation in patients with faecal incontinence? Colorectal Dis. 2008;10:257-262.
43. Dudding TC, Pares D, Vaizey CJ, et al. Predictive factors for successful sacral nerve stimulation in the treatment of faecal incontinence: a 10-year cohort analysis. Colorectal Dis. 2008;10:294-256.
44. Findlay JM, Mawell-Armstrong C. Posterior tibial nerve stimulation and faecal incontinence: a review. Int J Colorectal Dis. 2011;26:265-273.
45. Feretis C, Benakis P, Dailianas A, et al. Implantation of microballoons in the management of fecal incontinence. Dis Colon Rectum. 2001;44:1605–1609.
46. Kenefick NJ, Vaizey CJ, Malouf AJ, et al. Injectable silicone biomaterial for faecal incontinence due to internal anal sphincter dysfunction. Gut. 2002;55:225–228.
47. Konsten J, Baeten CG, Spaans F, et al. Follow-up of anal dynamic graciloplasty for fecal continence. World J Surg. 1993;17:404–409.
48. Baeten C, Spaans F, Fluks A. An implanted neuromuscular stimulator for fecal continence following previously implanted gracilis muscle: report of a case. Dis Colon Rectum. 1988;31:134–137.
49. Wong MT, Meurette G, Stangherlin P, et al. The magnetic anal sphincter versus the artificial bowel sphincter: a comparison of 2 treatments for fecal incontinence. Dis Colon Rectum. 2011;54:773-779.
50. Parker SC, Spencer MP, Madoff RD, et al. Artificial bowel sphincter: long-term experience at a single institution. Dis Colon Rectum 2003;46:722–729.
51. Takahashi T, Garcia-Osogobio S, Valdovinos MA, et al. Extended two-year results of radio-frequency energy delivery for the treatment of fecal incontinence (Secca procedure). Dis Colon Rectum. 2003;46:711–715.
52. Norton C, Burch J, Kamm MA. Patient’s views of a colostomy for fecal incontinence. Dis Colon Rectum. 2005;48:1062.
› Consider adding a question about fecal incontinence—a condition often unreported by patients and undetected by physicians—to your medical intake form. C
› Use bowel diaries and fecal incontinence grading systems, as needed, to better understand the extent of the problem and assess the effects of treatment. C
› Consider sacral nerve stimulation, the first-line surgical treatment for fecal incontinence, for those who fail to respond to medical therapies. B
Strength of recommendation (SOR)
A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series
Estimates suggest that about 18 million adults in the United States suffer from fecal incontinence.1 But because the condition often goes unreported by patients and undetected by physicians, the actual prevalence is not known—and may be considerably higher.
What is known is that fecal incontinence carries a substantial socioeconomic burden. The average annual per patient cost is estimated at $4110.2 But fecal incontinence also exacts a heavy personal toll, and is one of the main reasons elderly individuals are placed in nursing homes.3
But it’s not just the elderly who are affected. A recent study of women ages 45 years and older found that nearly one in 5 had an episode of fecal incontinence at least once a year, and for nearly half, the frequency was once a month or more.4 Less than 3 in 10 reported their symptoms to a clinician, but those who did were most likely to have confided in their primary care physician.5
Fortunately, recent developments—most notably, sacral nerve stimulation, a minimally invasive surgical technique with a high success rate—have changed the outlook for patients with fecal incontinence. Here’s what you need to know to help patients who suffer from this embarrassing condition achieve optimal outcomes.
Risk factors and key causes
Maintaining fecal continence involves a complex series of events, both voluntary and involuntary. Problems at various levels—stool consistency, anatomic and neurologic abnormalities, and psychological problems among them—can disrupt the process.
Those at high risk for fecal incontinence, in addition to the elderly, include patients who are mentally ill and institutionalized, individuals with neurologic disorders, patients who have had anorectal surgery, and women who have had vaginal deliveries.6-8 Obstetric and operative injuries account for most cases of fecal incontinence.9-10
Sphincter defects including attenuation and scarring (shown here), are commonly caused by obstetric and operative injuries.
Risks of vaginal delivery
As many as 25% of women report some degree of fecal incontinence—although often confined to loss of control of flatus—3 months after giving birth.11 Stool incontinence is more frequent among women who sustained third- or fourth-degree perineal tears. Obstetrical risk factors include first vaginal birth, median episiotomy, forceps delivery, vacuum-assisted delivery, and a prolonged second stage of labor.
Asymptomatic sphincter defects. Studies in which women underwent endosonographic examination of the sphincter complex both before and after vaginal delivery have found sphincter defects in anywhere from 7% to 41% of new mothers.12-14 It is important to note, however, that as many as 70% of those with defects detected by sonogram were asymptomatic.15 (Despite the risk of sphincter injury during vaginal delivery and evidence suggesting that the risk of fecal incontinence increases with additional deliveries after a previous perineal tear, prophylactic cesarean section is not recommended.)
Fistula surgery and postop incontinence
Fistula surgery is the primary cause of postoperative incontinence, typically resulting from inadvertent injury to either the internal or external sphincter muscle.16 Other relatively common causes of fecal incontinence are rectal prolapse, trauma, irradiation, neurologic and demyelinating disorders such as multiple sclerosis, neoplasms, stroke, infection (eg, of a perineal wound), and diabetes.17 As diagnostic modalities have improved, much of what was previously termed idiopathic incontinence has been found to have identifiable underlying pathology, such as pudendal and inferior hypogastric neuropathies.18-20
Identifying fecal incontinence starts with a single question
As already noted, most patients with symptoms of bowel leakage do not voluntarily mention it to their physician. Many are likely to acknowledge the problem, however, if they’re specifically asked. While little has been written about how best to screen for fecal incontinence, simply adding it to the checklist on your medical intake form may be a good starting point.
Follow up with a targeted history and physical
When a patient checks fecal incontinence on a form or broaches the subject, it is important to question him or her about medical conditions that may be related. These include urinary incontinence, prolapsing tissue, diabetes, and a history of radiation, as well as childbirth. A medication history is also needed, as certain drugs—including some antacids and laxatives—have been implicated in fecal incontinence.21
Physical assessment should include a general neurologic exam as well as a perineal exam, to look for prolapsing tissue and evidence of scars from prior surgery or obstetrical trauma. Check the anocutaneous reflex by stroking the perianal skin. Absence of the anal wink in a younger patient is likely associated with nerve damage; in an older patient, it may simply indicate muscle weakness. Perform a digital rectal exam to assess for normal resting tone and augmentation with squeeze, regardless of the patient’s age.
Use tools to assess the severity
Anal incontinence can be broadly characterized as complete or partial. Numerous other systems have been proposed for classifying severity, the simplest of which has the following 4 components:
A: Continent of solid, liquid, and flatus (complete continence)
B: Continent of solid and liquid, but not flatus
C: Continent of solid, but not liquid or flatus
D: Continued fecal leakage (complete incontinence).22
Although this classification system may be helpful, it yields little information about the significance of the problem from the patient’s perspective.23 Thus, scales that take into account both the frequency of incontinence episodes and the extent of both the mental and physical impact are used more frequently.
One of the most widely used scales is the Cleveland Clinic Fecal Incontinence Score (TABLE),24 which quantifies both the frequency and type of incontinence and scores the level of severity. Fecal incontinence quality of life scales are available, as well, and include questions about the impact on the patient’s lifestyle, coping behavior, mood, and level of embarrassment.25
Even without a quality of life scale, a couple of targeted questions—(eg, Are you ever afraid to go out? Do you worry about others smelling stool on you?)—will give you an idea of how great an impact fecal incontinence is having on your patient’s life. Asking patients to keep bowel diaries can also be helpful in assessing the extent of the problem and the effect of treatment.
Next steps: Start with modifiable risks
While there are numerous diagnostic tests for fecal incontinence (more about these in a bit), none is necessary for initial treatment, which starts with modifiable risks. Chief among them is smoking.
Smoking cessation. Nicotine is believed to have a direct effect on colonic transit and rectal compliance.26 Thus, smoking is associated with an increased risk for fecal incontinence, independent of chronic cough or chronic obstructive pulmonary disease. Patients should be advised to quit smoking and referred to a smoking cessation program.
Dietary fiber. Diet may be a factor in fecal incontinence, as well. Ask patients to record everything they eat, and advise those with a low intake of dietary fiber to eat more fruits, vegetables, whole grains, and other high-fiber food. Recommend that they avoid caffeine and alcohol, as well.
Some medications may also affect stool form and frequency, and precipitate fecal incontinence. Common offenders, in addition to laxatives and antacids, include antibiotics, proton pump inhibitors, and senna-based colon cleansers.27 Consider a switch to another drug class. A trial with a drug thought to improve bowel continence is recommended, as well.
Prescribe pharmacologic treatment
Kaolin, pectin, bulking agents, bismuth salts, anticholinergics, opium derivatives, diphenoxylate/atropine, and loperamide have all been used to treat fecal incontinence, with variable success. Loperamide, the drug most extensively studied for this purpose, has been found to increase resting anal pressure and improve anal sphincter function and continence by acting directly on the circular and longitudinal muscles of the bowel.28
Amitriptyline has also been used empirically, with some success. It is believed to work by decreasing the frequency and amplitude of rectal motor complexes.29 Clonidine in the form of a transdermal patch has been shown to increase the number of problem-free days and overall quality of life for patients with fecal incontinence.30
Consider biofeedback
Biofeedback training is often the next step after pharmacologic treatment. It has been investigated for the treatment of fecal incontinence, and many patients—particularly if they are highly motivated—have reported improvement.31 Therapy generally has 3 components: exercising the external sphincter complex, training in the discrimination of rectal sensations, and developing synchrony of the internal and external sphincter responses during rectal distension.
The goal is for the patient to learn to contract the sphincter in response to small amounts of rectal distension.
But a significant time commitment on the part of the patient and sophisticated apparatus are necessary to carry out such therapy, and only a few randomized controlled trials (RCTs) have evaluated the effect. The largest RCT had 4 arms: a standard care group; standard care plus instruction on sphincter exercises; standard care with sphincter exercises and biofeedback; and standard care with sphincter exercises, biofeedback, and training at home.32
All 4 groups had similar improvement in symptoms, raising questions about the therapeutic value of biofeedback.32 Long-term studies have found that 60% to 80% of patients will continue to have episodes of incontinence after undergoing biofeedback. A Cochrane review of RCTs concluded that there is not enough evidence to judge whether sphincter exercises and biofeedback are effective in reducing fecal incontinence.33
Still no relief? Order tests and consider surgery
For patients with fecal incontinence refractory to conservative management, more sophisticated diagnostic studies can provide invaluable information for guiding further treatment.
Endoanal ultrasound is considered the gold standard diagnostic test for fecal incontinence. It is superior to electromyography in terms of availability, patient tolerance, and ability to assess the internal anal sphincter, except in cases in which nerve injury is suspected.34
Other tests sometimes used to pinpoint the cause of fecal incontinence include an enema challenge (which can differentiate between liquid and solid incontinence) and anal manometry (which can quantify anal sphincter tone). Defecography (which makes it possible to visualize the rectal emptying process) can be helpful if a diagnosis of rectal prolapse is being considered.
Magnetic resonance imaging is among the most costly diagnostic studies associated with fecal incontinence. But it is the only modality that can depict the morphology of the external sphincter and the presence of muscle atrophy—providing information that has been shown to significantly improve the likelihood of successful sphincter repair.35
A wider range of surgical options
When medical therapy and biofeedback fail to produce adequate results, referral to a colorectal surgeon is appropriate. (Although conservative management is frequently unsuccessful, health plans typically require that they be attempted before surgical intervention is considered.)
Sphincteroplasty, or anterior anal sphincter repair, addresses the most common cause of fecal incontinence—and is still a common surgical procedure.36 Sphincteroplasty generally has good to excellent results, providing there is sufficient muscle mass for a successful repair.37,38
The procedure involves dissecting the sphincter complex from the surrounding anoderm, then overlapping the edges of the sphincter muscle and suturing them together. Continence has been reported nearly 80% of the time, although a longer duration of fecal incontinence and incontinence secondary to operative injury of the sphincter are risk factors for poorer outcomes.39,40
Recent studies have called into question the durability of anterior sphincter repair. A systematic review of 16 studies reporting short- and long-term outcomes for more than 900 patients found that all but one of the studies showed a decline over time in the number of patients who were happy with the outcome.39
Sacral nerve stimulation is first-line surgical treatment
Sacral nerve stimulation (SNS) is the most promising development in the treatment of fecal incontinence. In the last decade, SNS has become the first-line surgical treatment for patients for whom medical and behavioral therapy are unsuccessful.40
A minimally invasive procedure that involves an implantable device, SNS is always preceded by an effectiveness trial in which a finder needle is percutaneously inserted into the third sacral foramen. Stimulation should result in immediate contraction of the pelvic floor and external sphincter and plantar flexion of the big toe.
The next step is the insertion of a temporary stimulator lead, which remains in place for a 2- to 3-week test of low-frequency stimulation. If significant reduction in the number of incontinence episodes during the trial period occurs, the device is inserted (See “Sacral nerve stimulation: A case study” above).
Improvement in fecal continence has been reported to be as high as 100% in some cases, with up to 75% of patients achieving complete continence.41 While the mechanism involved remains unclear, multiple studies have confirmed its effectiveness.42,43
Posterior tibial nerve stimulation is another recent development, in which a small, thin lead is placed at the posterior tibial nerve, then connected to a temporary stimulator. Less data are available for this treatment, but a recent review summarized the findings of 8 published studies and found success rates ranging from 30% to 83%.44
The Secca procedure—a relatively new therapy that delivers radiofrequency energy to the anal sphincter—is another option, believed to work by reducing compliance of the sphincter complex and the level of tolerable rectal distension.45 Procedures using injectable bulking materials and fat grafting around the sphincter complex have demonstrated some promise, as well.46
A number of other surgical modalities are available, and often effective under certain circumstances. Among them are rotational and free muscle transfers, used only in cases in which the bulk of the sphincter complex has been destroyed.47,48 Implantable anal sphincters (made from human muscle and nerve cells) are occasionally used, as well, but frequently need to be removed because of infection.49-51
Regardless of the type of treatment they receive, patients often do not achieve total continence. Anyone who continues to have occasional episodes of fecal incontinence or leakage should be advised to wear incontinence pads, as needed.
Consider colostomy when incontinence is severe
For patients with fecal incontinence severe enough to be disabling—often as a result of irradiation—colostomy remains a tried and true treatment. The rectum can either be left intact or a proctectomy performed in concert with ostomy creation. Most studies evaluating colostomy for the treatment of incontinence have found that it significantly improves the quality of life and that most patients say they would choose to undergo the procedure again.52
› Consider adding a question about fecal incontinence—a condition often unreported by patients and undetected by physicians—to your medical intake form. C
› Use bowel diaries and fecal incontinence grading systems, as needed, to better understand the extent of the problem and assess the effects of treatment. C
› Consider sacral nerve stimulation, the first-line surgical treatment for fecal incontinence, for those who fail to respond to medical therapies. B
Strength of recommendation (SOR)
A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series
Estimates suggest that about 18 million adults in the United States suffer from fecal incontinence.1 But because the condition often goes unreported by patients and undetected by physicians, the actual prevalence is not known—and may be considerably higher.
What is known is that fecal incontinence carries a substantial socioeconomic burden. The average annual per patient cost is estimated at $4110.2 But fecal incontinence also exacts a heavy personal toll, and is one of the main reasons elderly individuals are placed in nursing homes.3
But it’s not just the elderly who are affected. A recent study of women ages 45 years and older found that nearly one in 5 had an episode of fecal incontinence at least once a year, and for nearly half, the frequency was once a month or more.4 Less than 3 in 10 reported their symptoms to a clinician, but those who did were most likely to have confided in their primary care physician.5
Fortunately, recent developments—most notably, sacral nerve stimulation, a minimally invasive surgical technique with a high success rate—have changed the outlook for patients with fecal incontinence. Here’s what you need to know to help patients who suffer from this embarrassing condition achieve optimal outcomes.
Risk factors and key causes
Maintaining fecal continence involves a complex series of events, both voluntary and involuntary. Problems at various levels—stool consistency, anatomic and neurologic abnormalities, and psychological problems among them—can disrupt the process.
Those at high risk for fecal incontinence, in addition to the elderly, include patients who are mentally ill and institutionalized, individuals with neurologic disorders, patients who have had anorectal surgery, and women who have had vaginal deliveries.6-8 Obstetric and operative injuries account for most cases of fecal incontinence.9-10
Sphincter defects including attenuation and scarring (shown here), are commonly caused by obstetric and operative injuries.
Risks of vaginal delivery
As many as 25% of women report some degree of fecal incontinence—although often confined to loss of control of flatus—3 months after giving birth.11 Stool incontinence is more frequent among women who sustained third- or fourth-degree perineal tears. Obstetrical risk factors include first vaginal birth, median episiotomy, forceps delivery, vacuum-assisted delivery, and a prolonged second stage of labor.
Asymptomatic sphincter defects. Studies in which women underwent endosonographic examination of the sphincter complex both before and after vaginal delivery have found sphincter defects in anywhere from 7% to 41% of new mothers.12-14 It is important to note, however, that as many as 70% of those with defects detected by sonogram were asymptomatic.15 (Despite the risk of sphincter injury during vaginal delivery and evidence suggesting that the risk of fecal incontinence increases with additional deliveries after a previous perineal tear, prophylactic cesarean section is not recommended.)
Fistula surgery and postop incontinence
Fistula surgery is the primary cause of postoperative incontinence, typically resulting from inadvertent injury to either the internal or external sphincter muscle.16 Other relatively common causes of fecal incontinence are rectal prolapse, trauma, irradiation, neurologic and demyelinating disorders such as multiple sclerosis, neoplasms, stroke, infection (eg, of a perineal wound), and diabetes.17 As diagnostic modalities have improved, much of what was previously termed idiopathic incontinence has been found to have identifiable underlying pathology, such as pudendal and inferior hypogastric neuropathies.18-20
Identifying fecal incontinence starts with a single question
As already noted, most patients with symptoms of bowel leakage do not voluntarily mention it to their physician. Many are likely to acknowledge the problem, however, if they’re specifically asked. While little has been written about how best to screen for fecal incontinence, simply adding it to the checklist on your medical intake form may be a good starting point.
Follow up with a targeted history and physical
When a patient checks fecal incontinence on a form or broaches the subject, it is important to question him or her about medical conditions that may be related. These include urinary incontinence, prolapsing tissue, diabetes, and a history of radiation, as well as childbirth. A medication history is also needed, as certain drugs—including some antacids and laxatives—have been implicated in fecal incontinence.21
Physical assessment should include a general neurologic exam as well as a perineal exam, to look for prolapsing tissue and evidence of scars from prior surgery or obstetrical trauma. Check the anocutaneous reflex by stroking the perianal skin. Absence of the anal wink in a younger patient is likely associated with nerve damage; in an older patient, it may simply indicate muscle weakness. Perform a digital rectal exam to assess for normal resting tone and augmentation with squeeze, regardless of the patient’s age.
Use tools to assess the severity
Anal incontinence can be broadly characterized as complete or partial. Numerous other systems have been proposed for classifying severity, the simplest of which has the following 4 components:
A: Continent of solid, liquid, and flatus (complete continence)
B: Continent of solid and liquid, but not flatus
C: Continent of solid, but not liquid or flatus
D: Continued fecal leakage (complete incontinence).22
Although this classification system may be helpful, it yields little information about the significance of the problem from the patient’s perspective.23 Thus, scales that take into account both the frequency of incontinence episodes and the extent of both the mental and physical impact are used more frequently.
One of the most widely used scales is the Cleveland Clinic Fecal Incontinence Score (TABLE),24 which quantifies both the frequency and type of incontinence and scores the level of severity. Fecal incontinence quality of life scales are available, as well, and include questions about the impact on the patient’s lifestyle, coping behavior, mood, and level of embarrassment.25
Even without a quality of life scale, a couple of targeted questions—(eg, Are you ever afraid to go out? Do you worry about others smelling stool on you?)—will give you an idea of how great an impact fecal incontinence is having on your patient’s life. Asking patients to keep bowel diaries can also be helpful in assessing the extent of the problem and the effect of treatment.
Next steps: Start with modifiable risks
While there are numerous diagnostic tests for fecal incontinence (more about these in a bit), none is necessary for initial treatment, which starts with modifiable risks. Chief among them is smoking.
Smoking cessation. Nicotine is believed to have a direct effect on colonic transit and rectal compliance.26 Thus, smoking is associated with an increased risk for fecal incontinence, independent of chronic cough or chronic obstructive pulmonary disease. Patients should be advised to quit smoking and referred to a smoking cessation program.
Dietary fiber. Diet may be a factor in fecal incontinence, as well. Ask patients to record everything they eat, and advise those with a low intake of dietary fiber to eat more fruits, vegetables, whole grains, and other high-fiber food. Recommend that they avoid caffeine and alcohol, as well.
Some medications may also affect stool form and frequency, and precipitate fecal incontinence. Common offenders, in addition to laxatives and antacids, include antibiotics, proton pump inhibitors, and senna-based colon cleansers.27 Consider a switch to another drug class. A trial with a drug thought to improve bowel continence is recommended, as well.
Prescribe pharmacologic treatment
Kaolin, pectin, bulking agents, bismuth salts, anticholinergics, opium derivatives, diphenoxylate/atropine, and loperamide have all been used to treat fecal incontinence, with variable success. Loperamide, the drug most extensively studied for this purpose, has been found to increase resting anal pressure and improve anal sphincter function and continence by acting directly on the circular and longitudinal muscles of the bowel.28
Amitriptyline has also been used empirically, with some success. It is believed to work by decreasing the frequency and amplitude of rectal motor complexes.29 Clonidine in the form of a transdermal patch has been shown to increase the number of problem-free days and overall quality of life for patients with fecal incontinence.30
Consider biofeedback
Biofeedback training is often the next step after pharmacologic treatment. It has been investigated for the treatment of fecal incontinence, and many patients—particularly if they are highly motivated—have reported improvement.31 Therapy generally has 3 components: exercising the external sphincter complex, training in the discrimination of rectal sensations, and developing synchrony of the internal and external sphincter responses during rectal distension.
The goal is for the patient to learn to contract the sphincter in response to small amounts of rectal distension.
But a significant time commitment on the part of the patient and sophisticated apparatus are necessary to carry out such therapy, and only a few randomized controlled trials (RCTs) have evaluated the effect. The largest RCT had 4 arms: a standard care group; standard care plus instruction on sphincter exercises; standard care with sphincter exercises and biofeedback; and standard care with sphincter exercises, biofeedback, and training at home.32
All 4 groups had similar improvement in symptoms, raising questions about the therapeutic value of biofeedback.32 Long-term studies have found that 60% to 80% of patients will continue to have episodes of incontinence after undergoing biofeedback. A Cochrane review of RCTs concluded that there is not enough evidence to judge whether sphincter exercises and biofeedback are effective in reducing fecal incontinence.33
Still no relief? Order tests and consider surgery
For patients with fecal incontinence refractory to conservative management, more sophisticated diagnostic studies can provide invaluable information for guiding further treatment.
Endoanal ultrasound is considered the gold standard diagnostic test for fecal incontinence. It is superior to electromyography in terms of availability, patient tolerance, and ability to assess the internal anal sphincter, except in cases in which nerve injury is suspected.34
Other tests sometimes used to pinpoint the cause of fecal incontinence include an enema challenge (which can differentiate between liquid and solid incontinence) and anal manometry (which can quantify anal sphincter tone). Defecography (which makes it possible to visualize the rectal emptying process) can be helpful if a diagnosis of rectal prolapse is being considered.
Magnetic resonance imaging is among the most costly diagnostic studies associated with fecal incontinence. But it is the only modality that can depict the morphology of the external sphincter and the presence of muscle atrophy—providing information that has been shown to significantly improve the likelihood of successful sphincter repair.35
A wider range of surgical options
When medical therapy and biofeedback fail to produce adequate results, referral to a colorectal surgeon is appropriate. (Although conservative management is frequently unsuccessful, health plans typically require that they be attempted before surgical intervention is considered.)
Sphincteroplasty, or anterior anal sphincter repair, addresses the most common cause of fecal incontinence—and is still a common surgical procedure.36 Sphincteroplasty generally has good to excellent results, providing there is sufficient muscle mass for a successful repair.37,38
The procedure involves dissecting the sphincter complex from the surrounding anoderm, then overlapping the edges of the sphincter muscle and suturing them together. Continence has been reported nearly 80% of the time, although a longer duration of fecal incontinence and incontinence secondary to operative injury of the sphincter are risk factors for poorer outcomes.39,40
Recent studies have called into question the durability of anterior sphincter repair. A systematic review of 16 studies reporting short- and long-term outcomes for more than 900 patients found that all but one of the studies showed a decline over time in the number of patients who were happy with the outcome.39
Sacral nerve stimulation is first-line surgical treatment
Sacral nerve stimulation (SNS) is the most promising development in the treatment of fecal incontinence. In the last decade, SNS has become the first-line surgical treatment for patients for whom medical and behavioral therapy are unsuccessful.40
A minimally invasive procedure that involves an implantable device, SNS is always preceded by an effectiveness trial in which a finder needle is percutaneously inserted into the third sacral foramen. Stimulation should result in immediate contraction of the pelvic floor and external sphincter and plantar flexion of the big toe.
The next step is the insertion of a temporary stimulator lead, which remains in place for a 2- to 3-week test of low-frequency stimulation. If significant reduction in the number of incontinence episodes during the trial period occurs, the device is inserted (See “Sacral nerve stimulation: A case study” above).
Improvement in fecal continence has been reported to be as high as 100% in some cases, with up to 75% of patients achieving complete continence.41 While the mechanism involved remains unclear, multiple studies have confirmed its effectiveness.42,43
Posterior tibial nerve stimulation is another recent development, in which a small, thin lead is placed at the posterior tibial nerve, then connected to a temporary stimulator. Less data are available for this treatment, but a recent review summarized the findings of 8 published studies and found success rates ranging from 30% to 83%.44
The Secca procedure—a relatively new therapy that delivers radiofrequency energy to the anal sphincter—is another option, believed to work by reducing compliance of the sphincter complex and the level of tolerable rectal distension.45 Procedures using injectable bulking materials and fat grafting around the sphincter complex have demonstrated some promise, as well.46
A number of other surgical modalities are available, and often effective under certain circumstances. Among them are rotational and free muscle transfers, used only in cases in which the bulk of the sphincter complex has been destroyed.47,48 Implantable anal sphincters (made from human muscle and nerve cells) are occasionally used, as well, but frequently need to be removed because of infection.49-51
Regardless of the type of treatment they receive, patients often do not achieve total continence. Anyone who continues to have occasional episodes of fecal incontinence or leakage should be advised to wear incontinence pads, as needed.
Consider colostomy when incontinence is severe
For patients with fecal incontinence severe enough to be disabling—often as a result of irradiation—colostomy remains a tried and true treatment. The rectum can either be left intact or a proctectomy performed in concert with ostomy creation. Most studies evaluating colostomy for the treatment of incontinence have found that it significantly improves the quality of life and that most patients say they would choose to undergo the procedure again.52
1. Whitehead WE, Borrud L, Goode PS, et al. Fecal incontinence in US adults: epidemiology and risk factors. Gastroenterology. 2009;137:512-517.
2. Xu X, Menees SB, Zochowski MK, et al. Economic cost of fecal incontinence. Dis Colon Rectum. 2012;55:586-598.
3. Grover M, Busby-Whitehead J, Palmer MH, et al. Survey of geriatricians on the impact of fecal incontinence on nursing home referral. J Am Geriatr Soc. 2010;58:1058-1062.
4. Brown HW, Wexner SD, Segall MM, et al. Accidental bowel leakage in the mature women’s health study: prevalence and predictors. Int Clin Pract. 2012;66:1101–1108.
5. Brown HW, Wexner SD, Segall MM, et al. Quality of life impact in women with accidental bowel leakage. Int Clin Pract. 2012;66:1109–1116.
6. Townsend MK, Matthews CA, Whitehead WE, et al. Risk factors for fecal incontinence in older women. Am J Gastroenterol. 2013;108:113-119.
7. Sundquist JC. Long-term outcome after obstetric injury: a retrospective study. Acta Obstet Gynecol Scand. 2012 Jun;91:715-718.
8. Planting A, Phang PT, Raval MJ, et al. Transanal endoscopic microsurgery: impact on fecal incontinence and quality of life. Can J Surg. 2013;56:243-248.
9. Ctercteko GC, Fazio VW, Jagelman DG, et al. Anal sphincter repair: a report of 60 cases and review of the literature. Aust N Z J Surg. 1988;58:703–710.
10. Keighley MRB, Fielding JWL. Management of faecal incontinence and results of surgical treatment. Br J Surg. 1983;70: 463–468.
11. Eason E, Labrecque M, Marcoux S, et al. Anal incontinence after childbirth. CMAJ. 2002;166:326–330.
12. Rieger N, Schloithe A, Saccone G, et al. A prospective study of analsphincter injury due to childbirth. Scand J Gastroenterol. 1998;33:950–955.
13. Zetterstrom J, Mellgren A, Jensen LL, et al. Effect of delivery on anal sphinctermorphology and function. Dis Colon Rectum. 1999;42:1253–1260.
14. Varma A, Gunn J, Gardiner A, et al. Obstetric anal sphincter injury: prospective evaluation of incidence. Dis Colon Rectum. 1999;42:1537–1543.
15. Oberwalder M, Connor J, Wexner SD. Meta-analysis to determine the incidence of obstetric anal sphincter damage. Br J Surg. 2003;90:1333–1337.
16. Lindsey I, Jones OM, Smilgin-Humphreys MM, et al. Patterns of fecal incontinence after anal surgery. Dis Colon Rectum. 2004;47:1643–1649.
17. National Digestive Diseases Information Clearinghouse. Fecal
incontinence. Available at: http://digestive.niddk.nih.gov/ddiseases/pubs/fecalincontinence. Accessed October 20, 2013.
18. Roig JV, Villoslada C, Lledo S, et al. Prevalence of pudendal neuropathy in fecal incontinence. Results of a prospective study. Dis Colon Rectum. 1995;38:952–958.
19. Swash M, Gray A, Lubowski DZ, et al. Ultrastructural changes in internal sphincter in neurogenic incontinence. Gut. 1988;29:1692–1698.
20. Rogers J, Henry MM, Misiewicz JJ. Combined sensory and motor deficit in primary fecal incontinence. Gut. 1988;29:5–9.
21. Medline Plus Web site. Bowel incontinence. Available at: http://www.nlm.nih.gov/medlineplus/ency/article/003135.htm. Accessed October 20, 2013.
22. Browning GP, Parks AG. Post anal repair for neuropathic fecal incontinence: correlation of clinical result and anal canal pressures. Br J Surg. 1983;70:101–104.
23. Baxter NN, Rothenberger DA, Lowry AC. Measuring fecal incontinence. Dis Colon Rectum. 2003;46:1591–1605.
24. Jorge JM, Wexner SD. Etiology and management of fecal incontinence. Dis Colon Rectum. 1993;36:77–97.
25. American Society of Colon & Rectal Surgeons Web site. Fecal incontinence quality of life scale. Available at: http://www.fascrs.org/physicians/Fecal_Incontinence_Quality_of_Life_Scale/. Accessed October 20, 2013.
26. Bharucha AE, Zinsmeister AR, Schleck CD, et al. Bowel disturbances are the most important risk factor for late onset fecal incontinence: a population based case-control study in women. Gastroenterology. 2010;139:1559-1566.
27. MedlinePlus Web site. Drug-induced diarrhea. Available at: http://www.nlm.nih.gov/medlineplus/ency/article/000293.htm. Accessed October 21, 2013.
28. Hallgren T, Fasth S, Delbro DS, et al. Loperamide improves anal sphincter function and continence after restorative proctocolectomy. Dig Dis Sci. 1994;39:2612-2618.
29. Santoro GA, Eitan BZ, Pryde A, et al. Open study of low-dose amitriptyline in the treatment of patients with idiopathic fecal incontinence. Dis Colon Rectum. 2000;43:1676-1681.
30. Bharucha AE, Seide BM, Zinsmeister AR, et al. The effects of clonodine on symptoms and anorectal sensoriomotor function in women with faecal incontinence. Aliment Pharmacol Ther. 2010;32:681-688.
31. Engel BT, Nikoomnesh P, Schuster MM. Operant conditioning of rectosphincteric responses in the treatment of fecal incontinence. N Engl J Med. 1974;290:646-649.
32. Norton C, Chelvanayagam S, Wilson-Barnett J, et al. Randomized controlled trial of biofeedback for fecal incontinence. Gastroenterology. 2003;125:1320–1329.
33. Norton C, Cody JD, Hosker G. Biofeedback and/or sphincter exercises for the treatment of fecal incontinence in adults. Cochrane Database Syst Rev. 2006;(3):CD002111.
34. Sultan AH, Nicholls RJ, Kamm MA, et al. Anal endosonography and correlation with in vitro and in vivo anatomy. Br J Surg. 1993; 80:508–511.
35. Briel JW, Stoker J, Rociu E, et al. External anal sphincter atrophy on endoanal MRI adversely affects continence after sphincteroplasty. Br J Surg. 1999;86:1322–1327.
36. Goetz LH, Lowry AC. Overlapping sphincteroplasty: is it the standard of care? Clin Colon Rectal Surg. 2005;18:22-31.
37. El-Gazzazz G, Zutshi M, Hannaway C, et al. Overlapping sphincter repair: does age matter? Dis Colon Rectum. 2012;55:256-261.
38. Glasgow SC, Lowry AC. Long-term outcomes of anal sphincter repair for fecal incontinence: a systematic review. Dis Colon Rectum. 2012;55:482-490.
39. Lehto K, Hyoty M, Collin P, et al. Seven-year follow-up after anterior sphincter reconstruction for faecal incontinence. Int J Colorectal Dis. 2013;5:653-658.
40. George AT, Kalmar K, Panarese A, et al. Long-term outcomes of sacral nerve stimulation for fecal incontinence. Dis Colon Rectum. 2012;55:302-306.
41. Jarrett MED, Mowatt G, Glazener CMA, et al. Systematic review of sacral nerve stimulation for faecal incontinence and constipation. Br J Surg. 2004;91:1559–1569.
42. Melenhorst J, Koch SM, Uludag O, et al. Is a morphologically intact anal sphincter necessary for success with sacral nerve modulation in patients with faecal incontinence? Colorectal Dis. 2008;10:257-262.
43. Dudding TC, Pares D, Vaizey CJ, et al. Predictive factors for successful sacral nerve stimulation in the treatment of faecal incontinence: a 10-year cohort analysis. Colorectal Dis. 2008;10:294-256.
44. Findlay JM, Mawell-Armstrong C. Posterior tibial nerve stimulation and faecal incontinence: a review. Int J Colorectal Dis. 2011;26:265-273.
45. Feretis C, Benakis P, Dailianas A, et al. Implantation of microballoons in the management of fecal incontinence. Dis Colon Rectum. 2001;44:1605–1609.
46. Kenefick NJ, Vaizey CJ, Malouf AJ, et al. Injectable silicone biomaterial for faecal incontinence due to internal anal sphincter dysfunction. Gut. 2002;55:225–228.
47. Konsten J, Baeten CG, Spaans F, et al. Follow-up of anal dynamic graciloplasty for fecal continence. World J Surg. 1993;17:404–409.
48. Baeten C, Spaans F, Fluks A. An implanted neuromuscular stimulator for fecal continence following previously implanted gracilis muscle: report of a case. Dis Colon Rectum. 1988;31:134–137.
49. Wong MT, Meurette G, Stangherlin P, et al. The magnetic anal sphincter versus the artificial bowel sphincter: a comparison of 2 treatments for fecal incontinence. Dis Colon Rectum. 2011;54:773-779.
50. Parker SC, Spencer MP, Madoff RD, et al. Artificial bowel sphincter: long-term experience at a single institution. Dis Colon Rectum 2003;46:722–729.
51. Takahashi T, Garcia-Osogobio S, Valdovinos MA, et al. Extended two-year results of radio-frequency energy delivery for the treatment of fecal incontinence (Secca procedure). Dis Colon Rectum. 2003;46:711–715.
52. Norton C, Burch J, Kamm MA. Patient’s views of a colostomy for fecal incontinence. Dis Colon Rectum. 2005;48:1062.
1. Whitehead WE, Borrud L, Goode PS, et al. Fecal incontinence in US adults: epidemiology and risk factors. Gastroenterology. 2009;137:512-517.
2. Xu X, Menees SB, Zochowski MK, et al. Economic cost of fecal incontinence. Dis Colon Rectum. 2012;55:586-598.
3. Grover M, Busby-Whitehead J, Palmer MH, et al. Survey of geriatricians on the impact of fecal incontinence on nursing home referral. J Am Geriatr Soc. 2010;58:1058-1062.
4. Brown HW, Wexner SD, Segall MM, et al. Accidental bowel leakage in the mature women’s health study: prevalence and predictors. Int Clin Pract. 2012;66:1101–1108.
5. Brown HW, Wexner SD, Segall MM, et al. Quality of life impact in women with accidental bowel leakage. Int Clin Pract. 2012;66:1109–1116.
6. Townsend MK, Matthews CA, Whitehead WE, et al. Risk factors for fecal incontinence in older women. Am J Gastroenterol. 2013;108:113-119.
7. Sundquist JC. Long-term outcome after obstetric injury: a retrospective study. Acta Obstet Gynecol Scand. 2012 Jun;91:715-718.
8. Planting A, Phang PT, Raval MJ, et al. Transanal endoscopic microsurgery: impact on fecal incontinence and quality of life. Can J Surg. 2013;56:243-248.
9. Ctercteko GC, Fazio VW, Jagelman DG, et al. Anal sphincter repair: a report of 60 cases and review of the literature. Aust N Z J Surg. 1988;58:703–710.
10. Keighley MRB, Fielding JWL. Management of faecal incontinence and results of surgical treatment. Br J Surg. 1983;70: 463–468.
11. Eason E, Labrecque M, Marcoux S, et al. Anal incontinence after childbirth. CMAJ. 2002;166:326–330.
12. Rieger N, Schloithe A, Saccone G, et al. A prospective study of analsphincter injury due to childbirth. Scand J Gastroenterol. 1998;33:950–955.
13. Zetterstrom J, Mellgren A, Jensen LL, et al. Effect of delivery on anal sphinctermorphology and function. Dis Colon Rectum. 1999;42:1253–1260.
14. Varma A, Gunn J, Gardiner A, et al. Obstetric anal sphincter injury: prospective evaluation of incidence. Dis Colon Rectum. 1999;42:1537–1543.
15. Oberwalder M, Connor J, Wexner SD. Meta-analysis to determine the incidence of obstetric anal sphincter damage. Br J Surg. 2003;90:1333–1337.
16. Lindsey I, Jones OM, Smilgin-Humphreys MM, et al. Patterns of fecal incontinence after anal surgery. Dis Colon Rectum. 2004;47:1643–1649.
17. National Digestive Diseases Information Clearinghouse. Fecal
incontinence. Available at: http://digestive.niddk.nih.gov/ddiseases/pubs/fecalincontinence. Accessed October 20, 2013.
18. Roig JV, Villoslada C, Lledo S, et al. Prevalence of pudendal neuropathy in fecal incontinence. Results of a prospective study. Dis Colon Rectum. 1995;38:952–958.
19. Swash M, Gray A, Lubowski DZ, et al. Ultrastructural changes in internal sphincter in neurogenic incontinence. Gut. 1988;29:1692–1698.
20. Rogers J, Henry MM, Misiewicz JJ. Combined sensory and motor deficit in primary fecal incontinence. Gut. 1988;29:5–9.
21. Medline Plus Web site. Bowel incontinence. Available at: http://www.nlm.nih.gov/medlineplus/ency/article/003135.htm. Accessed October 20, 2013.
22. Browning GP, Parks AG. Post anal repair for neuropathic fecal incontinence: correlation of clinical result and anal canal pressures. Br J Surg. 1983;70:101–104.
23. Baxter NN, Rothenberger DA, Lowry AC. Measuring fecal incontinence. Dis Colon Rectum. 2003;46:1591–1605.
24. Jorge JM, Wexner SD. Etiology and management of fecal incontinence. Dis Colon Rectum. 1993;36:77–97.
25. American Society of Colon & Rectal Surgeons Web site. Fecal incontinence quality of life scale. Available at: http://www.fascrs.org/physicians/Fecal_Incontinence_Quality_of_Life_Scale/. Accessed October 20, 2013.
26. Bharucha AE, Zinsmeister AR, Schleck CD, et al. Bowel disturbances are the most important risk factor for late onset fecal incontinence: a population based case-control study in women. Gastroenterology. 2010;139:1559-1566.
27. MedlinePlus Web site. Drug-induced diarrhea. Available at: http://www.nlm.nih.gov/medlineplus/ency/article/000293.htm. Accessed October 21, 2013.
28. Hallgren T, Fasth S, Delbro DS, et al. Loperamide improves anal sphincter function and continence after restorative proctocolectomy. Dig Dis Sci. 1994;39:2612-2618.
29. Santoro GA, Eitan BZ, Pryde A, et al. Open study of low-dose amitriptyline in the treatment of patients with idiopathic fecal incontinence. Dis Colon Rectum. 2000;43:1676-1681.
30. Bharucha AE, Seide BM, Zinsmeister AR, et al. The effects of clonodine on symptoms and anorectal sensoriomotor function in women with faecal incontinence. Aliment Pharmacol Ther. 2010;32:681-688.
31. Engel BT, Nikoomnesh P, Schuster MM. Operant conditioning of rectosphincteric responses in the treatment of fecal incontinence. N Engl J Med. 1974;290:646-649.
32. Norton C, Chelvanayagam S, Wilson-Barnett J, et al. Randomized controlled trial of biofeedback for fecal incontinence. Gastroenterology. 2003;125:1320–1329.
33. Norton C, Cody JD, Hosker G. Biofeedback and/or sphincter exercises for the treatment of fecal incontinence in adults. Cochrane Database Syst Rev. 2006;(3):CD002111.
34. Sultan AH, Nicholls RJ, Kamm MA, et al. Anal endosonography and correlation with in vitro and in vivo anatomy. Br J Surg. 1993; 80:508–511.
35. Briel JW, Stoker J, Rociu E, et al. External anal sphincter atrophy on endoanal MRI adversely affects continence after sphincteroplasty. Br J Surg. 1999;86:1322–1327.
36. Goetz LH, Lowry AC. Overlapping sphincteroplasty: is it the standard of care? Clin Colon Rectal Surg. 2005;18:22-31.
37. El-Gazzazz G, Zutshi M, Hannaway C, et al. Overlapping sphincter repair: does age matter? Dis Colon Rectum. 2012;55:256-261.
38. Glasgow SC, Lowry AC. Long-term outcomes of anal sphincter repair for fecal incontinence: a systematic review. Dis Colon Rectum. 2012;55:482-490.
39. Lehto K, Hyoty M, Collin P, et al. Seven-year follow-up after anterior sphincter reconstruction for faecal incontinence. Int J Colorectal Dis. 2013;5:653-658.
40. George AT, Kalmar K, Panarese A, et al. Long-term outcomes of sacral nerve stimulation for fecal incontinence. Dis Colon Rectum. 2012;55:302-306.
41. Jarrett MED, Mowatt G, Glazener CMA, et al. Systematic review of sacral nerve stimulation for faecal incontinence and constipation. Br J Surg. 2004;91:1559–1569.
42. Melenhorst J, Koch SM, Uludag O, et al. Is a morphologically intact anal sphincter necessary for success with sacral nerve modulation in patients with faecal incontinence? Colorectal Dis. 2008;10:257-262.
43. Dudding TC, Pares D, Vaizey CJ, et al. Predictive factors for successful sacral nerve stimulation in the treatment of faecal incontinence: a 10-year cohort analysis. Colorectal Dis. 2008;10:294-256.
44. Findlay JM, Mawell-Armstrong C. Posterior tibial nerve stimulation and faecal incontinence: a review. Int J Colorectal Dis. 2011;26:265-273.
45. Feretis C, Benakis P, Dailianas A, et al. Implantation of microballoons in the management of fecal incontinence. Dis Colon Rectum. 2001;44:1605–1609.
46. Kenefick NJ, Vaizey CJ, Malouf AJ, et al. Injectable silicone biomaterial for faecal incontinence due to internal anal sphincter dysfunction. Gut. 2002;55:225–228.
47. Konsten J, Baeten CG, Spaans F, et al. Follow-up of anal dynamic graciloplasty for fecal continence. World J Surg. 1993;17:404–409.
48. Baeten C, Spaans F, Fluks A. An implanted neuromuscular stimulator for fecal continence following previously implanted gracilis muscle: report of a case. Dis Colon Rectum. 1988;31:134–137.
49. Wong MT, Meurette G, Stangherlin P, et al. The magnetic anal sphincter versus the artificial bowel sphincter: a comparison of 2 treatments for fecal incontinence. Dis Colon Rectum. 2011;54:773-779.
50. Parker SC, Spencer MP, Madoff RD, et al. Artificial bowel sphincter: long-term experience at a single institution. Dis Colon Rectum 2003;46:722–729.
51. Takahashi T, Garcia-Osogobio S, Valdovinos MA, et al. Extended two-year results of radio-frequency energy delivery for the treatment of fecal incontinence (Secca procedure). Dis Colon Rectum. 2003;46:711–715.
52. Norton C, Burch J, Kamm MA. Patient’s views of a colostomy for fecal incontinence. Dis Colon Rectum. 2005;48:1062.
Did poor communication lead to her death?
A woman in her 50s underwent hysterectomy performed by a surgeon, who then assigned an ObGyn to her follow-up care. The day after surgery, the patient had severe abdominal pain with decreased blood pressure and increased heart and respiration rates. The ObGyn admitted the patient to the intensive care unit (ICU), and then designated Dr. A, the patient’s family practitioner to continue her care. Dr. A was not available, so his associate, Dr. B, took over. Over the phone, Dr. B requested pulmonary, cardiology, and infectious disease consults. In the ICU the next day, the patient suffered respiratory arrest and was intubated. When her abdomen became rigid and swollen, emergency surgery revealed that a colon perforation had allowed fecal matter to reach the abdominal cavity. The woman died the next day from complications of sepsis, peritonitis, and multiple organ failure.
ESTATE’S CLAIM None of the physicians assigned to her care ever saw the patient in the ICU. Earlier surgery could have prevented her death. The physicians involved in her care failed to communicate with each other properly.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $3.2 million Illinois settlement was reached with the hospital.
BOTH PARENTS HAD PLATELET ANTIBODIES
When a 32-year-old woman became pregnant with her third child, she sought treatment at a clinic. The mother informed the nurse practi-tioner that her two other children had been diagnosed with low platelets at birth, but they were now healthy and had no further problems.
The woman gave birth vaginally to her third child at term. The newborn had Apgar scores of 8 and 8, at 1 and 5 minutes, respectively. However, the child’s platelet level was 26 x 103/µL. The baby was transferred to another hospital the next day, where he was diagnosed with hydrocephalus and neonatal alloimmune thrombocytopenia. He suffered a massive intracranial hemorrhage, which caused severe neurologic injuries and brain damage. A shunt was placed. The child has significant cognitive deficits as well as cerebral palsy with mild developmental delays. Testing showed that each parent had a different genotype for platelet antibodies.
PARENTS’ CLAIM The parents should have been tested for platelet antibodies prior to this birth due to the family’s history. A prenatal diagnosis of neonatal alloimmune thrombocytopenia would have allowed for treatment with gamma globulin, which could have avoided the intracranial hemorrhage.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $4.8 million California settlement was reached.
CORD PROLAPSE NOT CARED FOR IN AMBULANCE
At 36 weeks’ gestation, a mother called an ambulance when her membranes ruptured and she noticed an umbilical cord prolapse.
The child was in a breech presentation, experienced oxygen deprivation, and sustained severe neurologic damage.
PARENTS’ CLAIM The ambulance service was negligent in its care. The ambulance service dispatcher advised the mother to stand, squat, and push before the ambulance arrived. The ambulance attendants failed to take basic actions to relieve pressure on the prolapsed umbilical cord. The ambulance did not stop at two closer hospitals, which delayed arrival for an additional 20 minutes.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $2.7 million settlement was reached, but before it was submitted to the court for approval, the child died. The defendants then sought to revoke the settlement, but the parents claimed breach of contract. The defendants claimed that the agreement was orally negotiated independent of defense counsel and was unenforceable due to the child’s death and lack of court approval. A Texas judge issued summary judgment on breach of contract and awarded $2.7 million plus $40,000 in attorney fees to the parents.
SECOND- AND THIRD-DEGREE BURNS TO PERINEUM
A mother received an epidural injection during vaginal delivery. Six hours later, the patient asked a nurse for a warm compress to place on her perineum. The nurse heated the compress in a microwave and then applied it to the perineal area. The compress caused second- and third-degree burns to the patient’s labia and inner left thigh. She underwent surgical repair of the burned area, and, a year later, had plastic surgery.
PATIENT’S CLAIM The nurse was negligent in overheating the compress.
DEFENDANTS’ DEFENSE The hospital agreed that the nurse who heated and applied the compress had been negligent. The hospital paid all medical expenses relating to the burns, including follow-up surgeries.
VERDICT A $190,000 Utah verdict was returned for noneconomic damages.
DOCUMENTATION MAKES A DIFFERENCE FOR OBGYN AFTER CHILD DIES
A 30-year-old physician was pregnant with her first child. Due to a low amniotic fluid index and lagging fetal growth, she saw a maternal-fetal medicine specialist, who suggested labor induction at 39 weeks.
Labor progressed slowly. After three attempts at vacuum-assisted delivery, the ObGyn recommended cesarean delivery. The parents eventually consented to cesarean delivery after another failed vacuum-assisted attempt. Although the ObGyn had recommended cesarean 2 hours earlier, surgery was not ordered on an emergent basis.
At birth, the baby’s resuscitation took more than 20 minutes. The child lost nearly one-third of her blood volume; she had a subgaleal hemorrhage. Both parties agreed that the vacuum device probably caused the bleeding.
The child had hypoxic ischemic encephalopathy and disseminated intravascular coagulation. She suffered a myocardial infarction at 3 days of age. Without electrical brain activity, life support was removed, and the child died at 5 days of age. An autopsy found possible hypereosinophilic syndrome as the concurrent cause of death.
PARENTS’ CLAIM The mother claimed she was not informed of the risks, benefits, and alternatives to vacuum extraction; she would not have consented had she known the risks. The mother, her husband, and two family members maintained that the ObGyn offered the possibility of cesarean delivery as a question, but did not insist on it. The mother claimed she wanted what was best for the baby, and never refused a cesarean. The resuscitation efforts caused eosinophilic infiltration into several organs.
PHYSICIAN’S DEFENSE The ObGyn charted that the parents were “adamant about having a vaginal delivery,” and said she told the parents what she charted. The obstetric nurse testified that the mother delayed consent because she felt vaginal delivery was imminent. The ObGyn acted properly; eosinophilia caused the baby’s death.
VERDICT An Illinois defense verdict was returned.
HIGH BP TO BLAME FOR DEATHS OF BOTH MOTHER AND CHILD
A 23-year-old woman’s pregnancy was at high risk because of very high blood pressure (BP). At 34 weeks’ gestation, she went to a county hospital with symptoms of high BP; she was treated and discharged 3 days later. She returned to the hospital to be checked twice more within a month. The day after the third visit, she suffered a seizure and was taken to a university hospital, where emergency cesarean delivery was performed. The mother died from an aortic rupture during delivery.
The child was born with brain injuries and died at age 4 years due to neurologic complications.
ESTATE’S CLAIM The mother was not properly treated at the county hospital, resulting in both deaths; she should not have been discharged. Under monitoring, she would have undergone delivery before the aortic rupture occurred, avoiding the baby’s brain injury.
DEFENDANTS’ DEFENSE The mother was stable when released; aortic rupture is unpredictable and unpreventable, and would have occurred under any circumstances. It is highly unusual that a woman of her age would have an aortic rupture.
VERDICT A $3,062,803 California verdict was returned. The parties then settled for $1,782,000 (with the county assuming the medical lien).
NECROTIZING FASCIITIS FROM PERFORATED COLON
A woman underwent laparoscopic-assisted vaginal hysterectomy performed by her ObGyn, and was discharged after 3 days. The next day, she went to another hospital’s emergency department (ED) with abdominal distention and rigidity, severe abdominal pain, and vomiting. She had a toxic appearance, rapid pulse rate, and hypotension. In emergency surgery, several liters of dark brown, foul-smelling fluid were found in her abdomen, and feculent peritonitis and necrotizing fasciitis were diagnosed due to a perforated sigmoid colon. She required multiple hospitalizations and operations.
PATIENT’S CLAIM Perforation occurred during hysterectomy. The ObGyn failed to recognize the injury prior to discharge. The hospital staff did not properly assess her or communicate her symptoms to the ObGyn.
DEFENDANTS’ DEFENSE There was no negligence; proper care was given.
VERDICT A $2,922,503 Florida verdict was returned, with the jury finding the ObGyn 30% at fault and the hospital 70% at fault.
FAILURE TO REACT TO FETAL DISTRESS: $15.6M
After delivery at full term, a child suffered convulsions and seizures on her second day of life. A CT scan showed brain injuries. At age 11 years, she has severe learning and developmental delays, and requires 24-hour care.
PARENTS’ CLAIM Severe decelerations with slow return to baseline occurred several times during labor and delivery. The nurse midwife failed to recognize and react to fetal distress. A cesarean delivery should have been performed instead of a vaginal delivery. The delay in delivery caused the child’s injuries.
DEFENDANTS’ DEFENSE A prenatal neurogenetic disorder caused the child’s injuries.
VERDICT A $15.6 million Maryland verdict was returned. It will not be automatically reduced; the awarded noneconomic damages do not exceed the state cap.
LATE DELIVERY; SEVERE INJURY TO CHILD
At 40 weeks’ gestation, a woman was admitted to the hospital in labor. When the mother’s membranes were ruptured, a small amount of meconium was noted, but the fetal monitor strips were reassuring. Two hours later, the nurse and midwife noted a pattern of decelerations, but they felt the pattern was nonrepetitive and reactive. Thirty minutes later, the nurse and midwife noted decelerations to 90 bpm with pushing, but did not call a physician.
Another midwife arrived to assist the first midwife who was new to practice. The mother was given oxygen, her position was changed, and an IV fluid bolus was administered. Thirty minutes later, the nurses recognized late decelerations and called a Code White twice while the fetal heart rate continued to decelerate. After the attending physician unsuccessfully attempted vacuum extraction, an emergency cesarean delivery was performed.
The child’s Apgar scores were 2, 3, and 3, at 1, 5, and 10 minutes, respectively. The cord blood pH was 6.66, indicating severe metabolic acidosis. She developed seizures within the first few minutes of life. Imaging studies showed global hypoxic ischemic encephalopathy. The child cannot walk, talk, or sit up unsupported at age 8, and requires a G-tube. She is cortically blind and requires antiseizure medication.
PARENTS’ CLAIM The nurse, two midwives, and physician were negligent in their care of the mother and child.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $5 million Massachusetts settlement was reached.
WHAT CAUSED INFECTION AFTER ABORTION?
A 20-year-old woman underwent a surgical termination of pregnancy performed by an ObGyn. After discharge, the patient developed pain and other complications requiring rehospitalization and additional surgery for a pelvic infection.
PATIENT’S CLAIM Complications were due to a uterine perforation that spontaneously sealed before it could be detected. The ObGyn was negligent in the performance of the elective abortion. The patient has a large scar on her abdomen because of the additional operation.
PHYSICIAN’S DEFENSE Perforation of the uterus is a known complication of the procedure. However, no perforation occurred; it was not found on imaging, and spontaneous sealing of a perforation cannot occur. The patient’s complications were due to a subclinical infection that was activated by the surgery.
VERDICT A New York defense verdict was returned.
We want to hear from you. Tell us what you think!
These cases were selected by the editors of OBG Management from Medical Malpractice Verdicts, Settlements & Experts, with permission of the editor, Lewis Laska (www.verdictslaska.com). The information available to the editors about the cases presented here is sometimes incomplete. Moreover, the cases may or may not have merit. Nevertheless, these cases represent the types of clinical situations that typically result in litigation and are meant to illustrate nationwide variation in jury verdicts and awards.
A woman in her 50s underwent hysterectomy performed by a surgeon, who then assigned an ObGyn to her follow-up care. The day after surgery, the patient had severe abdominal pain with decreased blood pressure and increased heart and respiration rates. The ObGyn admitted the patient to the intensive care unit (ICU), and then designated Dr. A, the patient’s family practitioner to continue her care. Dr. A was not available, so his associate, Dr. B, took over. Over the phone, Dr. B requested pulmonary, cardiology, and infectious disease consults. In the ICU the next day, the patient suffered respiratory arrest and was intubated. When her abdomen became rigid and swollen, emergency surgery revealed that a colon perforation had allowed fecal matter to reach the abdominal cavity. The woman died the next day from complications of sepsis, peritonitis, and multiple organ failure.
ESTATE’S CLAIM None of the physicians assigned to her care ever saw the patient in the ICU. Earlier surgery could have prevented her death. The physicians involved in her care failed to communicate with each other properly.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $3.2 million Illinois settlement was reached with the hospital.
BOTH PARENTS HAD PLATELET ANTIBODIES
When a 32-year-old woman became pregnant with her third child, she sought treatment at a clinic. The mother informed the nurse practi-tioner that her two other children had been diagnosed with low platelets at birth, but they were now healthy and had no further problems.
The woman gave birth vaginally to her third child at term. The newborn had Apgar scores of 8 and 8, at 1 and 5 minutes, respectively. However, the child’s platelet level was 26 x 103/µL. The baby was transferred to another hospital the next day, where he was diagnosed with hydrocephalus and neonatal alloimmune thrombocytopenia. He suffered a massive intracranial hemorrhage, which caused severe neurologic injuries and brain damage. A shunt was placed. The child has significant cognitive deficits as well as cerebral palsy with mild developmental delays. Testing showed that each parent had a different genotype for platelet antibodies.
PARENTS’ CLAIM The parents should have been tested for platelet antibodies prior to this birth due to the family’s history. A prenatal diagnosis of neonatal alloimmune thrombocytopenia would have allowed for treatment with gamma globulin, which could have avoided the intracranial hemorrhage.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $4.8 million California settlement was reached.
CORD PROLAPSE NOT CARED FOR IN AMBULANCE
At 36 weeks’ gestation, a mother called an ambulance when her membranes ruptured and she noticed an umbilical cord prolapse.
The child was in a breech presentation, experienced oxygen deprivation, and sustained severe neurologic damage.
PARENTS’ CLAIM The ambulance service was negligent in its care. The ambulance service dispatcher advised the mother to stand, squat, and push before the ambulance arrived. The ambulance attendants failed to take basic actions to relieve pressure on the prolapsed umbilical cord. The ambulance did not stop at two closer hospitals, which delayed arrival for an additional 20 minutes.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $2.7 million settlement was reached, but before it was submitted to the court for approval, the child died. The defendants then sought to revoke the settlement, but the parents claimed breach of contract. The defendants claimed that the agreement was orally negotiated independent of defense counsel and was unenforceable due to the child’s death and lack of court approval. A Texas judge issued summary judgment on breach of contract and awarded $2.7 million plus $40,000 in attorney fees to the parents.
SECOND- AND THIRD-DEGREE BURNS TO PERINEUM
A mother received an epidural injection during vaginal delivery. Six hours later, the patient asked a nurse for a warm compress to place on her perineum. The nurse heated the compress in a microwave and then applied it to the perineal area. The compress caused second- and third-degree burns to the patient’s labia and inner left thigh. She underwent surgical repair of the burned area, and, a year later, had plastic surgery.
PATIENT’S CLAIM The nurse was negligent in overheating the compress.
DEFENDANTS’ DEFENSE The hospital agreed that the nurse who heated and applied the compress had been negligent. The hospital paid all medical expenses relating to the burns, including follow-up surgeries.
VERDICT A $190,000 Utah verdict was returned for noneconomic damages.
DOCUMENTATION MAKES A DIFFERENCE FOR OBGYN AFTER CHILD DIES
A 30-year-old physician was pregnant with her first child. Due to a low amniotic fluid index and lagging fetal growth, she saw a maternal-fetal medicine specialist, who suggested labor induction at 39 weeks.
Labor progressed slowly. After three attempts at vacuum-assisted delivery, the ObGyn recommended cesarean delivery. The parents eventually consented to cesarean delivery after another failed vacuum-assisted attempt. Although the ObGyn had recommended cesarean 2 hours earlier, surgery was not ordered on an emergent basis.
At birth, the baby’s resuscitation took more than 20 minutes. The child lost nearly one-third of her blood volume; she had a subgaleal hemorrhage. Both parties agreed that the vacuum device probably caused the bleeding.
The child had hypoxic ischemic encephalopathy and disseminated intravascular coagulation. She suffered a myocardial infarction at 3 days of age. Without electrical brain activity, life support was removed, and the child died at 5 days of age. An autopsy found possible hypereosinophilic syndrome as the concurrent cause of death.
PARENTS’ CLAIM The mother claimed she was not informed of the risks, benefits, and alternatives to vacuum extraction; she would not have consented had she known the risks. The mother, her husband, and two family members maintained that the ObGyn offered the possibility of cesarean delivery as a question, but did not insist on it. The mother claimed she wanted what was best for the baby, and never refused a cesarean. The resuscitation efforts caused eosinophilic infiltration into several organs.
PHYSICIAN’S DEFENSE The ObGyn charted that the parents were “adamant about having a vaginal delivery,” and said she told the parents what she charted. The obstetric nurse testified that the mother delayed consent because she felt vaginal delivery was imminent. The ObGyn acted properly; eosinophilia caused the baby’s death.
VERDICT An Illinois defense verdict was returned.
HIGH BP TO BLAME FOR DEATHS OF BOTH MOTHER AND CHILD
A 23-year-old woman’s pregnancy was at high risk because of very high blood pressure (BP). At 34 weeks’ gestation, she went to a county hospital with symptoms of high BP; she was treated and discharged 3 days later. She returned to the hospital to be checked twice more within a month. The day after the third visit, she suffered a seizure and was taken to a university hospital, where emergency cesarean delivery was performed. The mother died from an aortic rupture during delivery.
The child was born with brain injuries and died at age 4 years due to neurologic complications.
ESTATE’S CLAIM The mother was not properly treated at the county hospital, resulting in both deaths; she should not have been discharged. Under monitoring, she would have undergone delivery before the aortic rupture occurred, avoiding the baby’s brain injury.
DEFENDANTS’ DEFENSE The mother was stable when released; aortic rupture is unpredictable and unpreventable, and would have occurred under any circumstances. It is highly unusual that a woman of her age would have an aortic rupture.
VERDICT A $3,062,803 California verdict was returned. The parties then settled for $1,782,000 (with the county assuming the medical lien).
NECROTIZING FASCIITIS FROM PERFORATED COLON
A woman underwent laparoscopic-assisted vaginal hysterectomy performed by her ObGyn, and was discharged after 3 days. The next day, she went to another hospital’s emergency department (ED) with abdominal distention and rigidity, severe abdominal pain, and vomiting. She had a toxic appearance, rapid pulse rate, and hypotension. In emergency surgery, several liters of dark brown, foul-smelling fluid were found in her abdomen, and feculent peritonitis and necrotizing fasciitis were diagnosed due to a perforated sigmoid colon. She required multiple hospitalizations and operations.
PATIENT’S CLAIM Perforation occurred during hysterectomy. The ObGyn failed to recognize the injury prior to discharge. The hospital staff did not properly assess her or communicate her symptoms to the ObGyn.
DEFENDANTS’ DEFENSE There was no negligence; proper care was given.
VERDICT A $2,922,503 Florida verdict was returned, with the jury finding the ObGyn 30% at fault and the hospital 70% at fault.
FAILURE TO REACT TO FETAL DISTRESS: $15.6M
After delivery at full term, a child suffered convulsions and seizures on her second day of life. A CT scan showed brain injuries. At age 11 years, she has severe learning and developmental delays, and requires 24-hour care.
PARENTS’ CLAIM Severe decelerations with slow return to baseline occurred several times during labor and delivery. The nurse midwife failed to recognize and react to fetal distress. A cesarean delivery should have been performed instead of a vaginal delivery. The delay in delivery caused the child’s injuries.
DEFENDANTS’ DEFENSE A prenatal neurogenetic disorder caused the child’s injuries.
VERDICT A $15.6 million Maryland verdict was returned. It will not be automatically reduced; the awarded noneconomic damages do not exceed the state cap.
LATE DELIVERY; SEVERE INJURY TO CHILD
At 40 weeks’ gestation, a woman was admitted to the hospital in labor. When the mother’s membranes were ruptured, a small amount of meconium was noted, but the fetal monitor strips were reassuring. Two hours later, the nurse and midwife noted a pattern of decelerations, but they felt the pattern was nonrepetitive and reactive. Thirty minutes later, the nurse and midwife noted decelerations to 90 bpm with pushing, but did not call a physician.
Another midwife arrived to assist the first midwife who was new to practice. The mother was given oxygen, her position was changed, and an IV fluid bolus was administered. Thirty minutes later, the nurses recognized late decelerations and called a Code White twice while the fetal heart rate continued to decelerate. After the attending physician unsuccessfully attempted vacuum extraction, an emergency cesarean delivery was performed.
The child’s Apgar scores were 2, 3, and 3, at 1, 5, and 10 minutes, respectively. The cord blood pH was 6.66, indicating severe metabolic acidosis. She developed seizures within the first few minutes of life. Imaging studies showed global hypoxic ischemic encephalopathy. The child cannot walk, talk, or sit up unsupported at age 8, and requires a G-tube. She is cortically blind and requires antiseizure medication.
PARENTS’ CLAIM The nurse, two midwives, and physician were negligent in their care of the mother and child.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $5 million Massachusetts settlement was reached.
WHAT CAUSED INFECTION AFTER ABORTION?
A 20-year-old woman underwent a surgical termination of pregnancy performed by an ObGyn. After discharge, the patient developed pain and other complications requiring rehospitalization and additional surgery for a pelvic infection.
PATIENT’S CLAIM Complications were due to a uterine perforation that spontaneously sealed before it could be detected. The ObGyn was negligent in the performance of the elective abortion. The patient has a large scar on her abdomen because of the additional operation.
PHYSICIAN’S DEFENSE Perforation of the uterus is a known complication of the procedure. However, no perforation occurred; it was not found on imaging, and spontaneous sealing of a perforation cannot occur. The patient’s complications were due to a subclinical infection that was activated by the surgery.
VERDICT A New York defense verdict was returned.
We want to hear from you. Tell us what you think!
These cases were selected by the editors of OBG Management from Medical Malpractice Verdicts, Settlements & Experts, with permission of the editor, Lewis Laska (www.verdictslaska.com). The information available to the editors about the cases presented here is sometimes incomplete. Moreover, the cases may or may not have merit. Nevertheless, these cases represent the types of clinical situations that typically result in litigation and are meant to illustrate nationwide variation in jury verdicts and awards.
A woman in her 50s underwent hysterectomy performed by a surgeon, who then assigned an ObGyn to her follow-up care. The day after surgery, the patient had severe abdominal pain with decreased blood pressure and increased heart and respiration rates. The ObGyn admitted the patient to the intensive care unit (ICU), and then designated Dr. A, the patient’s family practitioner to continue her care. Dr. A was not available, so his associate, Dr. B, took over. Over the phone, Dr. B requested pulmonary, cardiology, and infectious disease consults. In the ICU the next day, the patient suffered respiratory arrest and was intubated. When her abdomen became rigid and swollen, emergency surgery revealed that a colon perforation had allowed fecal matter to reach the abdominal cavity. The woman died the next day from complications of sepsis, peritonitis, and multiple organ failure.
ESTATE’S CLAIM None of the physicians assigned to her care ever saw the patient in the ICU. Earlier surgery could have prevented her death. The physicians involved in her care failed to communicate with each other properly.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $3.2 million Illinois settlement was reached with the hospital.
BOTH PARENTS HAD PLATELET ANTIBODIES
When a 32-year-old woman became pregnant with her third child, she sought treatment at a clinic. The mother informed the nurse practi-tioner that her two other children had been diagnosed with low platelets at birth, but they were now healthy and had no further problems.
The woman gave birth vaginally to her third child at term. The newborn had Apgar scores of 8 and 8, at 1 and 5 minutes, respectively. However, the child’s platelet level was 26 x 103/µL. The baby was transferred to another hospital the next day, where he was diagnosed with hydrocephalus and neonatal alloimmune thrombocytopenia. He suffered a massive intracranial hemorrhage, which caused severe neurologic injuries and brain damage. A shunt was placed. The child has significant cognitive deficits as well as cerebral palsy with mild developmental delays. Testing showed that each parent had a different genotype for platelet antibodies.
PARENTS’ CLAIM The parents should have been tested for platelet antibodies prior to this birth due to the family’s history. A prenatal diagnosis of neonatal alloimmune thrombocytopenia would have allowed for treatment with gamma globulin, which could have avoided the intracranial hemorrhage.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $4.8 million California settlement was reached.
CORD PROLAPSE NOT CARED FOR IN AMBULANCE
At 36 weeks’ gestation, a mother called an ambulance when her membranes ruptured and she noticed an umbilical cord prolapse.
The child was in a breech presentation, experienced oxygen deprivation, and sustained severe neurologic damage.
PARENTS’ CLAIM The ambulance service was negligent in its care. The ambulance service dispatcher advised the mother to stand, squat, and push before the ambulance arrived. The ambulance attendants failed to take basic actions to relieve pressure on the prolapsed umbilical cord. The ambulance did not stop at two closer hospitals, which delayed arrival for an additional 20 minutes.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $2.7 million settlement was reached, but before it was submitted to the court for approval, the child died. The defendants then sought to revoke the settlement, but the parents claimed breach of contract. The defendants claimed that the agreement was orally negotiated independent of defense counsel and was unenforceable due to the child’s death and lack of court approval. A Texas judge issued summary judgment on breach of contract and awarded $2.7 million plus $40,000 in attorney fees to the parents.
SECOND- AND THIRD-DEGREE BURNS TO PERINEUM
A mother received an epidural injection during vaginal delivery. Six hours later, the patient asked a nurse for a warm compress to place on her perineum. The nurse heated the compress in a microwave and then applied it to the perineal area. The compress caused second- and third-degree burns to the patient’s labia and inner left thigh. She underwent surgical repair of the burned area, and, a year later, had plastic surgery.
PATIENT’S CLAIM The nurse was negligent in overheating the compress.
DEFENDANTS’ DEFENSE The hospital agreed that the nurse who heated and applied the compress had been negligent. The hospital paid all medical expenses relating to the burns, including follow-up surgeries.
VERDICT A $190,000 Utah verdict was returned for noneconomic damages.
DOCUMENTATION MAKES A DIFFERENCE FOR OBGYN AFTER CHILD DIES
A 30-year-old physician was pregnant with her first child. Due to a low amniotic fluid index and lagging fetal growth, she saw a maternal-fetal medicine specialist, who suggested labor induction at 39 weeks.
Labor progressed slowly. After three attempts at vacuum-assisted delivery, the ObGyn recommended cesarean delivery. The parents eventually consented to cesarean delivery after another failed vacuum-assisted attempt. Although the ObGyn had recommended cesarean 2 hours earlier, surgery was not ordered on an emergent basis.
At birth, the baby’s resuscitation took more than 20 minutes. The child lost nearly one-third of her blood volume; she had a subgaleal hemorrhage. Both parties agreed that the vacuum device probably caused the bleeding.
The child had hypoxic ischemic encephalopathy and disseminated intravascular coagulation. She suffered a myocardial infarction at 3 days of age. Without electrical brain activity, life support was removed, and the child died at 5 days of age. An autopsy found possible hypereosinophilic syndrome as the concurrent cause of death.
PARENTS’ CLAIM The mother claimed she was not informed of the risks, benefits, and alternatives to vacuum extraction; she would not have consented had she known the risks. The mother, her husband, and two family members maintained that the ObGyn offered the possibility of cesarean delivery as a question, but did not insist on it. The mother claimed she wanted what was best for the baby, and never refused a cesarean. The resuscitation efforts caused eosinophilic infiltration into several organs.
PHYSICIAN’S DEFENSE The ObGyn charted that the parents were “adamant about having a vaginal delivery,” and said she told the parents what she charted. The obstetric nurse testified that the mother delayed consent because she felt vaginal delivery was imminent. The ObGyn acted properly; eosinophilia caused the baby’s death.
VERDICT An Illinois defense verdict was returned.
HIGH BP TO BLAME FOR DEATHS OF BOTH MOTHER AND CHILD
A 23-year-old woman’s pregnancy was at high risk because of very high blood pressure (BP). At 34 weeks’ gestation, she went to a county hospital with symptoms of high BP; she was treated and discharged 3 days later. She returned to the hospital to be checked twice more within a month. The day after the third visit, she suffered a seizure and was taken to a university hospital, where emergency cesarean delivery was performed. The mother died from an aortic rupture during delivery.
The child was born with brain injuries and died at age 4 years due to neurologic complications.
ESTATE’S CLAIM The mother was not properly treated at the county hospital, resulting in both deaths; she should not have been discharged. Under monitoring, she would have undergone delivery before the aortic rupture occurred, avoiding the baby’s brain injury.
DEFENDANTS’ DEFENSE The mother was stable when released; aortic rupture is unpredictable and unpreventable, and would have occurred under any circumstances. It is highly unusual that a woman of her age would have an aortic rupture.
VERDICT A $3,062,803 California verdict was returned. The parties then settled for $1,782,000 (with the county assuming the medical lien).
NECROTIZING FASCIITIS FROM PERFORATED COLON
A woman underwent laparoscopic-assisted vaginal hysterectomy performed by her ObGyn, and was discharged after 3 days. The next day, she went to another hospital’s emergency department (ED) with abdominal distention and rigidity, severe abdominal pain, and vomiting. She had a toxic appearance, rapid pulse rate, and hypotension. In emergency surgery, several liters of dark brown, foul-smelling fluid were found in her abdomen, and feculent peritonitis and necrotizing fasciitis were diagnosed due to a perforated sigmoid colon. She required multiple hospitalizations and operations.
PATIENT’S CLAIM Perforation occurred during hysterectomy. The ObGyn failed to recognize the injury prior to discharge. The hospital staff did not properly assess her or communicate her symptoms to the ObGyn.
DEFENDANTS’ DEFENSE There was no negligence; proper care was given.
VERDICT A $2,922,503 Florida verdict was returned, with the jury finding the ObGyn 30% at fault and the hospital 70% at fault.
FAILURE TO REACT TO FETAL DISTRESS: $15.6M
After delivery at full term, a child suffered convulsions and seizures on her second day of life. A CT scan showed brain injuries. At age 11 years, she has severe learning and developmental delays, and requires 24-hour care.
PARENTS’ CLAIM Severe decelerations with slow return to baseline occurred several times during labor and delivery. The nurse midwife failed to recognize and react to fetal distress. A cesarean delivery should have been performed instead of a vaginal delivery. The delay in delivery caused the child’s injuries.
DEFENDANTS’ DEFENSE A prenatal neurogenetic disorder caused the child’s injuries.
VERDICT A $15.6 million Maryland verdict was returned. It will not be automatically reduced; the awarded noneconomic damages do not exceed the state cap.
LATE DELIVERY; SEVERE INJURY TO CHILD
At 40 weeks’ gestation, a woman was admitted to the hospital in labor. When the mother’s membranes were ruptured, a small amount of meconium was noted, but the fetal monitor strips were reassuring. Two hours later, the nurse and midwife noted a pattern of decelerations, but they felt the pattern was nonrepetitive and reactive. Thirty minutes later, the nurse and midwife noted decelerations to 90 bpm with pushing, but did not call a physician.
Another midwife arrived to assist the first midwife who was new to practice. The mother was given oxygen, her position was changed, and an IV fluid bolus was administered. Thirty minutes later, the nurses recognized late decelerations and called a Code White twice while the fetal heart rate continued to decelerate. After the attending physician unsuccessfully attempted vacuum extraction, an emergency cesarean delivery was performed.
The child’s Apgar scores were 2, 3, and 3, at 1, 5, and 10 minutes, respectively. The cord blood pH was 6.66, indicating severe metabolic acidosis. She developed seizures within the first few minutes of life. Imaging studies showed global hypoxic ischemic encephalopathy. The child cannot walk, talk, or sit up unsupported at age 8, and requires a G-tube. She is cortically blind and requires antiseizure medication.
PARENTS’ CLAIM The nurse, two midwives, and physician were negligent in their care of the mother and child.
DEFENDANTS’ DEFENSE The case was settled during the trial.
VERDICT A $5 million Massachusetts settlement was reached.
WHAT CAUSED INFECTION AFTER ABORTION?
A 20-year-old woman underwent a surgical termination of pregnancy performed by an ObGyn. After discharge, the patient developed pain and other complications requiring rehospitalization and additional surgery for a pelvic infection.
PATIENT’S CLAIM Complications were due to a uterine perforation that spontaneously sealed before it could be detected. The ObGyn was negligent in the performance of the elective abortion. The patient has a large scar on her abdomen because of the additional operation.
PHYSICIAN’S DEFENSE Perforation of the uterus is a known complication of the procedure. However, no perforation occurred; it was not found on imaging, and spontaneous sealing of a perforation cannot occur. The patient’s complications were due to a subclinical infection that was activated by the surgery.
VERDICT A New York defense verdict was returned.
We want to hear from you. Tell us what you think!
These cases were selected by the editors of OBG Management from Medical Malpractice Verdicts, Settlements & Experts, with permission of the editor, Lewis Laska (www.verdictslaska.com). The information available to the editors about the cases presented here is sometimes incomplete. Moreover, the cases may or may not have merit. Nevertheless, these cases represent the types of clinical situations that typically result in litigation and are meant to illustrate nationwide variation in jury verdicts and awards.
What do the latest data reveal about the safety of home birth in the United States?
Every morning before I leave for work, I kiss my three children goodbye and tell them, “I love you. Make good choices today.”
This has become my mantra—so much so that, on her way out the door to join her friends at the movies recently, my daughter turned to me and said, “I know, Dad. I know. I’ll make good decisions tonight.”
And what decision is more important than where to deliver your child and who to have in attendance at the birth?
It is said that the passage from the uterus to the outside world that each one of us was forced to negotiate at birth is the most treacherous journey we will ever undertake. Any unnecessary delay or complication can have profound, lifelong consequences.
There is no question that the past few centuries have seen a significant “medicalization” of childbirth, including the relocation of deliveries from the community to a hospital setting, the introduction of male obstetricians, the unfortunate marginalization of midwives and support personnel (doulas), the development of uterotonic drugs, and the evolution of operative vaginal (forceps, vacuum) and cesarean deliveries.
Many of the practices initially introduced by obstetric care providers (including multiple vaginal examinations in labor, induction of labor for a large baby, and active management of labor protocols) have since been shown to be unhelpful in improving pregnancy outcomes, and some practices (such as episiotomy) have even been shown to be harmful.
Related article: Difficult fetal extraction at cesarean delivery: What should you do? Robert L. Barbieri, MD (Editorial, January 2012)
In the midst of this confusion, the one voice that has been lost is that of the patient herself.
Whose birth is it anyway?
The American College of Obstetricians and Gynecologists (ACOG), the American Academy of Pediatrics (AAP), and the American College of Nurse-Midwives (ACNM) all agree that patient autonomy is paramount, and that the final decision of where to deliver and who to have in attendance should be made by the patient herself, ideally in conjunction with her family and her obstetric care provider.1–3 But an informed decision is only as good as the available data. Regrettably, the literature on how planned home birth compares with hospital delivery in terms of pregnancy outcomes in the United States are sparse.
Related article: Lay midwives the the ObGyn: Is collaboration risky? Lucia DiVenere, MA (May 2012)
How safe is home birth in the United States?
Cheng and colleagues attempt to answer this question by reviewing newborn and maternal outcomes among planned home births versus hospital deliveries in a contemporary low-risk birth cohort. Their retrospective study included low-risk women at term with a singleton vertex live birth in 2008 in 27 of the 50 states using information from the Vital Statistics Natality Data provided by the Centers for Disease Control and Prevention.
Of these 2,081,753 women, 0.58% (n = 12,039) had planned home births, and the remainder delivered in a hospital setting. Women who had an “accidental” (unintended) home birth or who delivered in a freestanding birthing center were excluded. The primary outcome was the risk of a 5-minute Apgar score less than 4. Secondary outcomes included the risk of a 5-minute Apgar score less than 7, assisted ventilation for more than 6 hours, neonatal seizures, admission to the NICU, and a series of maternal outcome measures.
Besides the outcomes listed previously (top of page 24), women with a planned home birth had fewer obstetric interventions, including operative vaginal delivery and labor induction or augmentation. They also were less likely to be given antibiotics during labor (although the authors did not distinguish between antibiotics administered for prophylaxis against group B strep or surgical-site infection versus antibiotics to treat infections such as urinary tract infections or chorioamnionitis).
Of special interest is the fact that neither a prior vaginal delivery (multiparity) nor the absence of a prior cesarean delivery was protective against these adverse events.
The women at highest risk of an adverse event were those who delivered at home under the supervision of “other midwives.” Although these providers were not well defined, this term typically refers to community-based lay midwives whose only “training” consists of an unofficial apprenticeship of variable length. Despite the absence of formal training, the lack of certification and standardization of care, and the existence of legislation in many states banning their activity, such lay midwives continue to encourage and support home birth for both low- and high-risk women in the United States.
Related article: Update on Obstetrics John T. Repke, MD, and Jaimey M. Pauli, MD (January 2012)
Limitations of the study design
Although this dataset contains more than 2 million births, it includes only low-risk women at term and, therefore, is underpowered to measure outcomes such as fetal or neonatal death or birth injuries.
No data were presented on a number of important variables and outcome measures, such as the rate of or indications for cesarean delivery, the mode and frequency of intrapartum fetal monitoring, birth weight, intrapartum complications (uterine rupture, postpartum hemorrhage), blood transfusions, and infectious morbidity. The study also lacks long-term follow-up data on the infants.
That said, the study was well designed and very well written, and many of the limitations listed above are inherent in all retrospective cohort studies.
Putting these findings in context
These data are not novel, but they are remarkably consistent with other publications that have explored pregnancy outcomes in planned home birth versus hospital delivery from the Netherlands, the United Kingdom, Australia, and the United States, all of which show a higher rate of neonatal complications with planned home birth [see Reference 4 for review].4
Moreover, it is likely that the data in the current report significantly underestimate the risks of planned home birth for two reasons:
- Attempted home births that ended in transfer and, ultimately, delivery in a hospital setting (presumably for some unforeseen event such as excessive hemorrhage or uterine rupture or cord prolapse or nonreassuring fetal testing) were classified as hospital births.
- Apgar scores at 5 minutes are assigned by the attending care provider, and there is no way to independently verify their accuracy. Because of their limited training and/or concern about efforts to limit the scope of their practice, “other midwives” may be inclined to assign more favorable Apgar scores.
Who is choosing to deliver at home?
The proportion of US women who delivered outside the hospital setting increased by 29% between 2004 and 2009,5 although home births still constitute a minority of low-risk births (0.58% in the current study).
Related Article: Why are well-educated women more likely to choose home birth? Errol R. Norwitz, MD, PhD (Audiocast, November 2013)
One of the more interesting questions raised by this publication is the issue of who is choosing to deliver at home. In this cohort, women who planned home birth were more likely to be older, married, multiparous, white, and well educated. These aren’t exactly the women you would expect to gamble with the lives of their unborn offspring. So why are they choosing to deliver at home?
It could be that they are not well informed about the risks. Alternatively, they may have concluded that, although the relative risk of an adverse event is significantly higher with home birth, the absolute risk is low and acceptable to them. Or it could be that they are frustrated by the lack of autonomy afforded to them in the decisions surrounding antenatal care and the birthing process.
In recent years, more women are asking for minimally invasive births that are physically, emotionally, and socially supported. As hospital-based obstetric care providers, we do not always respect or meet these expectations. We can and should do better.
Women should not have to choose between a good birth experience and medical safety, between social support and hospital resources, between a sense of autonomy and access to life-saving interventions. Although every effort should be taken to make the birthing experience a positive one for the mother and her family as a whole, it should not be done at the expense of safety. I have yet to hear an asphyxiated and brain-damaged child thank his mother’s obstetric care provider for allowing a wonderful birth experience.
What this evidence means for practice
Even in countries where home births are integrated fully into the medical care system and attended by trained and certified nurse-midwives, they are associated with increased risks, including a twofold to threefold increase in the odds of neonatal death.4 In the US, where no such integration exists, home births are dangerous.
Maternity care has come a long way since the 17th Century, when a woman had a 1 in 6 chance of dying in childbirth and only one of every five children lived to enjoy a first birthday. It is appropriate in this era of Obamacare and cost containment that we explore alternative methods. The option of a safe home delivery may well be part of the solution, as it is for many European countries--but until we can be assured that such an approach is safe for both mothers and infants, let's keep home delivery where it belongs...for pizza!
--Errol R. Norwitz, MD, PHD
We want to hear from you! Tell us what you think.
- Committee on Obstetric Practice; American College of Obstetricians and Gynecologists. Committee Opinion #476: Planned home birth. Obstet Gynecol. 2011;117(2 Pt 1):425–428.
- American Academy of Pediatrics. Committee on Fetus and Newborn. Planned home birth. Pediatrics. 2013;131(5):1016–1020.
- American College of Nurse-Midwives. Division of Standards and Practice. Position statement: Home birth. Approved by the ACNM Board of Directors, May 2011. http://midwife.org/ACNM/files/ACNMLibraryData/UPLOADFILENAME/000000000251/Home%20Birth%20Aug%202011.pdf. Accessed October 21, 2013
- Wax JR, Lucas FL, Lamont M, et al. Maternal and newborn outcomes in planned home birth vs planned hospital births: A meta-analysis. Am J Obstet Gynecol. 2012;203(3):243.e1–e8.
- Martin JA, Hamilton BE, Ventura SJ, et al; Division of Vital Statistics. Births: Final data for 2009. Natl Vital Stat Rep. 2011;60(1):1–70.
Every morning before I leave for work, I kiss my three children goodbye and tell them, “I love you. Make good choices today.”
This has become my mantra—so much so that, on her way out the door to join her friends at the movies recently, my daughter turned to me and said, “I know, Dad. I know. I’ll make good decisions tonight.”
And what decision is more important than where to deliver your child and who to have in attendance at the birth?
It is said that the passage from the uterus to the outside world that each one of us was forced to negotiate at birth is the most treacherous journey we will ever undertake. Any unnecessary delay or complication can have profound, lifelong consequences.
There is no question that the past few centuries have seen a significant “medicalization” of childbirth, including the relocation of deliveries from the community to a hospital setting, the introduction of male obstetricians, the unfortunate marginalization of midwives and support personnel (doulas), the development of uterotonic drugs, and the evolution of operative vaginal (forceps, vacuum) and cesarean deliveries.
Many of the practices initially introduced by obstetric care providers (including multiple vaginal examinations in labor, induction of labor for a large baby, and active management of labor protocols) have since been shown to be unhelpful in improving pregnancy outcomes, and some practices (such as episiotomy) have even been shown to be harmful.
Related article: Difficult fetal extraction at cesarean delivery: What should you do? Robert L. Barbieri, MD (Editorial, January 2012)
In the midst of this confusion, the one voice that has been lost is that of the patient herself.
Whose birth is it anyway?
The American College of Obstetricians and Gynecologists (ACOG), the American Academy of Pediatrics (AAP), and the American College of Nurse-Midwives (ACNM) all agree that patient autonomy is paramount, and that the final decision of where to deliver and who to have in attendance should be made by the patient herself, ideally in conjunction with her family and her obstetric care provider.1–3 But an informed decision is only as good as the available data. Regrettably, the literature on how planned home birth compares with hospital delivery in terms of pregnancy outcomes in the United States are sparse.
Related article: Lay midwives the the ObGyn: Is collaboration risky? Lucia DiVenere, MA (May 2012)
How safe is home birth in the United States?
Cheng and colleagues attempt to answer this question by reviewing newborn and maternal outcomes among planned home births versus hospital deliveries in a contemporary low-risk birth cohort. Their retrospective study included low-risk women at term with a singleton vertex live birth in 2008 in 27 of the 50 states using information from the Vital Statistics Natality Data provided by the Centers for Disease Control and Prevention.
Of these 2,081,753 women, 0.58% (n = 12,039) had planned home births, and the remainder delivered in a hospital setting. Women who had an “accidental” (unintended) home birth or who delivered in a freestanding birthing center were excluded. The primary outcome was the risk of a 5-minute Apgar score less than 4. Secondary outcomes included the risk of a 5-minute Apgar score less than 7, assisted ventilation for more than 6 hours, neonatal seizures, admission to the NICU, and a series of maternal outcome measures.
Besides the outcomes listed previously (top of page 24), women with a planned home birth had fewer obstetric interventions, including operative vaginal delivery and labor induction or augmentation. They also were less likely to be given antibiotics during labor (although the authors did not distinguish between antibiotics administered for prophylaxis against group B strep or surgical-site infection versus antibiotics to treat infections such as urinary tract infections or chorioamnionitis).
Of special interest is the fact that neither a prior vaginal delivery (multiparity) nor the absence of a prior cesarean delivery was protective against these adverse events.
The women at highest risk of an adverse event were those who delivered at home under the supervision of “other midwives.” Although these providers were not well defined, this term typically refers to community-based lay midwives whose only “training” consists of an unofficial apprenticeship of variable length. Despite the absence of formal training, the lack of certification and standardization of care, and the existence of legislation in many states banning their activity, such lay midwives continue to encourage and support home birth for both low- and high-risk women in the United States.
Related article: Update on Obstetrics John T. Repke, MD, and Jaimey M. Pauli, MD (January 2012)
Limitations of the study design
Although this dataset contains more than 2 million births, it includes only low-risk women at term and, therefore, is underpowered to measure outcomes such as fetal or neonatal death or birth injuries.
No data were presented on a number of important variables and outcome measures, such as the rate of or indications for cesarean delivery, the mode and frequency of intrapartum fetal monitoring, birth weight, intrapartum complications (uterine rupture, postpartum hemorrhage), blood transfusions, and infectious morbidity. The study also lacks long-term follow-up data on the infants.
That said, the study was well designed and very well written, and many of the limitations listed above are inherent in all retrospective cohort studies.
Putting these findings in context
These data are not novel, but they are remarkably consistent with other publications that have explored pregnancy outcomes in planned home birth versus hospital delivery from the Netherlands, the United Kingdom, Australia, and the United States, all of which show a higher rate of neonatal complications with planned home birth [see Reference 4 for review].4
Moreover, it is likely that the data in the current report significantly underestimate the risks of planned home birth for two reasons:
- Attempted home births that ended in transfer and, ultimately, delivery in a hospital setting (presumably for some unforeseen event such as excessive hemorrhage or uterine rupture or cord prolapse or nonreassuring fetal testing) were classified as hospital births.
- Apgar scores at 5 minutes are assigned by the attending care provider, and there is no way to independently verify their accuracy. Because of their limited training and/or concern about efforts to limit the scope of their practice, “other midwives” may be inclined to assign more favorable Apgar scores.
Who is choosing to deliver at home?
The proportion of US women who delivered outside the hospital setting increased by 29% between 2004 and 2009,5 although home births still constitute a minority of low-risk births (0.58% in the current study).
Related Article: Why are well-educated women more likely to choose home birth? Errol R. Norwitz, MD, PhD (Audiocast, November 2013)
One of the more interesting questions raised by this publication is the issue of who is choosing to deliver at home. In this cohort, women who planned home birth were more likely to be older, married, multiparous, white, and well educated. These aren’t exactly the women you would expect to gamble with the lives of their unborn offspring. So why are they choosing to deliver at home?
It could be that they are not well informed about the risks. Alternatively, they may have concluded that, although the relative risk of an adverse event is significantly higher with home birth, the absolute risk is low and acceptable to them. Or it could be that they are frustrated by the lack of autonomy afforded to them in the decisions surrounding antenatal care and the birthing process.
In recent years, more women are asking for minimally invasive births that are physically, emotionally, and socially supported. As hospital-based obstetric care providers, we do not always respect or meet these expectations. We can and should do better.
Women should not have to choose between a good birth experience and medical safety, between social support and hospital resources, between a sense of autonomy and access to life-saving interventions. Although every effort should be taken to make the birthing experience a positive one for the mother and her family as a whole, it should not be done at the expense of safety. I have yet to hear an asphyxiated and brain-damaged child thank his mother’s obstetric care provider for allowing a wonderful birth experience.
What this evidence means for practice
Even in countries where home births are integrated fully into the medical care system and attended by trained and certified nurse-midwives, they are associated with increased risks, including a twofold to threefold increase in the odds of neonatal death.4 In the US, where no such integration exists, home births are dangerous.
Maternity care has come a long way since the 17th Century, when a woman had a 1 in 6 chance of dying in childbirth and only one of every five children lived to enjoy a first birthday. It is appropriate in this era of Obamacare and cost containment that we explore alternative methods. The option of a safe home delivery may well be part of the solution, as it is for many European countries--but until we can be assured that such an approach is safe for both mothers and infants, let's keep home delivery where it belongs...for pizza!
--Errol R. Norwitz, MD, PHD
We want to hear from you! Tell us what you think.
Every morning before I leave for work, I kiss my three children goodbye and tell them, “I love you. Make good choices today.”
This has become my mantra—so much so that, on her way out the door to join her friends at the movies recently, my daughter turned to me and said, “I know, Dad. I know. I’ll make good decisions tonight.”
And what decision is more important than where to deliver your child and who to have in attendance at the birth?
It is said that the passage from the uterus to the outside world that each one of us was forced to negotiate at birth is the most treacherous journey we will ever undertake. Any unnecessary delay or complication can have profound, lifelong consequences.
There is no question that the past few centuries have seen a significant “medicalization” of childbirth, including the relocation of deliveries from the community to a hospital setting, the introduction of male obstetricians, the unfortunate marginalization of midwives and support personnel (doulas), the development of uterotonic drugs, and the evolution of operative vaginal (forceps, vacuum) and cesarean deliveries.
Many of the practices initially introduced by obstetric care providers (including multiple vaginal examinations in labor, induction of labor for a large baby, and active management of labor protocols) have since been shown to be unhelpful in improving pregnancy outcomes, and some practices (such as episiotomy) have even been shown to be harmful.
Related article: Difficult fetal extraction at cesarean delivery: What should you do? Robert L. Barbieri, MD (Editorial, January 2012)
In the midst of this confusion, the one voice that has been lost is that of the patient herself.
Whose birth is it anyway?
The American College of Obstetricians and Gynecologists (ACOG), the American Academy of Pediatrics (AAP), and the American College of Nurse-Midwives (ACNM) all agree that patient autonomy is paramount, and that the final decision of where to deliver and who to have in attendance should be made by the patient herself, ideally in conjunction with her family and her obstetric care provider.1–3 But an informed decision is only as good as the available data. Regrettably, the literature on how planned home birth compares with hospital delivery in terms of pregnancy outcomes in the United States are sparse.
Related article: Lay midwives the the ObGyn: Is collaboration risky? Lucia DiVenere, MA (May 2012)
How safe is home birth in the United States?
Cheng and colleagues attempt to answer this question by reviewing newborn and maternal outcomes among planned home births versus hospital deliveries in a contemporary low-risk birth cohort. Their retrospective study included low-risk women at term with a singleton vertex live birth in 2008 in 27 of the 50 states using information from the Vital Statistics Natality Data provided by the Centers for Disease Control and Prevention.
Of these 2,081,753 women, 0.58% (n = 12,039) had planned home births, and the remainder delivered in a hospital setting. Women who had an “accidental” (unintended) home birth or who delivered in a freestanding birthing center were excluded. The primary outcome was the risk of a 5-minute Apgar score less than 4. Secondary outcomes included the risk of a 5-minute Apgar score less than 7, assisted ventilation for more than 6 hours, neonatal seizures, admission to the NICU, and a series of maternal outcome measures.
Besides the outcomes listed previously (top of page 24), women with a planned home birth had fewer obstetric interventions, including operative vaginal delivery and labor induction or augmentation. They also were less likely to be given antibiotics during labor (although the authors did not distinguish between antibiotics administered for prophylaxis against group B strep or surgical-site infection versus antibiotics to treat infections such as urinary tract infections or chorioamnionitis).
Of special interest is the fact that neither a prior vaginal delivery (multiparity) nor the absence of a prior cesarean delivery was protective against these adverse events.
The women at highest risk of an adverse event were those who delivered at home under the supervision of “other midwives.” Although these providers were not well defined, this term typically refers to community-based lay midwives whose only “training” consists of an unofficial apprenticeship of variable length. Despite the absence of formal training, the lack of certification and standardization of care, and the existence of legislation in many states banning their activity, such lay midwives continue to encourage and support home birth for both low- and high-risk women in the United States.
Related article: Update on Obstetrics John T. Repke, MD, and Jaimey M. Pauli, MD (January 2012)
Limitations of the study design
Although this dataset contains more than 2 million births, it includes only low-risk women at term and, therefore, is underpowered to measure outcomes such as fetal or neonatal death or birth injuries.
No data were presented on a number of important variables and outcome measures, such as the rate of or indications for cesarean delivery, the mode and frequency of intrapartum fetal monitoring, birth weight, intrapartum complications (uterine rupture, postpartum hemorrhage), blood transfusions, and infectious morbidity. The study also lacks long-term follow-up data on the infants.
That said, the study was well designed and very well written, and many of the limitations listed above are inherent in all retrospective cohort studies.
Putting these findings in context
These data are not novel, but they are remarkably consistent with other publications that have explored pregnancy outcomes in planned home birth versus hospital delivery from the Netherlands, the United Kingdom, Australia, and the United States, all of which show a higher rate of neonatal complications with planned home birth [see Reference 4 for review].4
Moreover, it is likely that the data in the current report significantly underestimate the risks of planned home birth for two reasons:
- Attempted home births that ended in transfer and, ultimately, delivery in a hospital setting (presumably for some unforeseen event such as excessive hemorrhage or uterine rupture or cord prolapse or nonreassuring fetal testing) were classified as hospital births.
- Apgar scores at 5 minutes are assigned by the attending care provider, and there is no way to independently verify their accuracy. Because of their limited training and/or concern about efforts to limit the scope of their practice, “other midwives” may be inclined to assign more favorable Apgar scores.
Who is choosing to deliver at home?
The proportion of US women who delivered outside the hospital setting increased by 29% between 2004 and 2009,5 although home births still constitute a minority of low-risk births (0.58% in the current study).
Related Article: Why are well-educated women more likely to choose home birth? Errol R. Norwitz, MD, PhD (Audiocast, November 2013)
One of the more interesting questions raised by this publication is the issue of who is choosing to deliver at home. In this cohort, women who planned home birth were more likely to be older, married, multiparous, white, and well educated. These aren’t exactly the women you would expect to gamble with the lives of their unborn offspring. So why are they choosing to deliver at home?
It could be that they are not well informed about the risks. Alternatively, they may have concluded that, although the relative risk of an adverse event is significantly higher with home birth, the absolute risk is low and acceptable to them. Or it could be that they are frustrated by the lack of autonomy afforded to them in the decisions surrounding antenatal care and the birthing process.
In recent years, more women are asking for minimally invasive births that are physically, emotionally, and socially supported. As hospital-based obstetric care providers, we do not always respect or meet these expectations. We can and should do better.
Women should not have to choose between a good birth experience and medical safety, between social support and hospital resources, between a sense of autonomy and access to life-saving interventions. Although every effort should be taken to make the birthing experience a positive one for the mother and her family as a whole, it should not be done at the expense of safety. I have yet to hear an asphyxiated and brain-damaged child thank his mother’s obstetric care provider for allowing a wonderful birth experience.
What this evidence means for practice
Even in countries where home births are integrated fully into the medical care system and attended by trained and certified nurse-midwives, they are associated with increased risks, including a twofold to threefold increase in the odds of neonatal death.4 In the US, where no such integration exists, home births are dangerous.
Maternity care has come a long way since the 17th Century, when a woman had a 1 in 6 chance of dying in childbirth and only one of every five children lived to enjoy a first birthday. It is appropriate in this era of Obamacare and cost containment that we explore alternative methods. The option of a safe home delivery may well be part of the solution, as it is for many European countries--but until we can be assured that such an approach is safe for both mothers and infants, let's keep home delivery where it belongs...for pizza!
--Errol R. Norwitz, MD, PHD
We want to hear from you! Tell us what you think.
- Committee on Obstetric Practice; American College of Obstetricians and Gynecologists. Committee Opinion #476: Planned home birth. Obstet Gynecol. 2011;117(2 Pt 1):425–428.
- American Academy of Pediatrics. Committee on Fetus and Newborn. Planned home birth. Pediatrics. 2013;131(5):1016–1020.
- American College of Nurse-Midwives. Division of Standards and Practice. Position statement: Home birth. Approved by the ACNM Board of Directors, May 2011. http://midwife.org/ACNM/files/ACNMLibraryData/UPLOADFILENAME/000000000251/Home%20Birth%20Aug%202011.pdf. Accessed October 21, 2013
- Wax JR, Lucas FL, Lamont M, et al. Maternal and newborn outcomes in planned home birth vs planned hospital births: A meta-analysis. Am J Obstet Gynecol. 2012;203(3):243.e1–e8.
- Martin JA, Hamilton BE, Ventura SJ, et al; Division of Vital Statistics. Births: Final data for 2009. Natl Vital Stat Rep. 2011;60(1):1–70.
- Committee on Obstetric Practice; American College of Obstetricians and Gynecologists. Committee Opinion #476: Planned home birth. Obstet Gynecol. 2011;117(2 Pt 1):425–428.
- American Academy of Pediatrics. Committee on Fetus and Newborn. Planned home birth. Pediatrics. 2013;131(5):1016–1020.
- American College of Nurse-Midwives. Division of Standards and Practice. Position statement: Home birth. Approved by the ACNM Board of Directors, May 2011. http://midwife.org/ACNM/files/ACNMLibraryData/UPLOADFILENAME/000000000251/Home%20Birth%20Aug%202011.pdf. Accessed October 21, 2013
- Wax JR, Lucas FL, Lamont M, et al. Maternal and newborn outcomes in planned home birth vs planned hospital births: A meta-analysis. Am J Obstet Gynecol. 2012;203(3):243.e1–e8.
- Martin JA, Hamilton BE, Ventura SJ, et al; Division of Vital Statistics. Births: Final data for 2009. Natl Vital Stat Rep. 2011;60(1):1–70.
Errol R. Norwitz, MD, PhD (November 2013)
Clinical Poster Highlights: Normal Sleep Patterns and a Healthy Skin Barrier in Infants and Children
This educational supplement to Pediatric News was sponsored by Johnson & Johnson Consumer Products Company.
Topic Highlights
- Introduction—Knowledge About Development and Maintenance of Normal Sleep and Healthy Skin in Infants and Children Continues to Evolve
- Sleep and Development in Infants and Toddlers
- Sleep in Young Children: A Cross-Cultural Perspective
- Sleep Education in Pediatric Residency Programs
- The Impact of Young Children’s Sleep on Maternal Sleep
- An iPhone® Application for Infant and Toddler Sleep: Concerns of Users
- Intra- and Interpersonal Changes in the Skin Microbiome from Infancy to Adulthood
- Chymotrypsin-Like Protease Activity in the Stratum Corneum is Increased in Atopic Dermatitis and Upon Washing with Soap
- Avena sativa Extracts in Atopic Eczema: A Two-Month Observational Study in Greece
Faculty/Faculty Disclosures
Paul Horowitz, MD, FAAP
Discovery Pediatrics
Valencia, California
Sherrill J. Rudy, MSN, CRNP
School of Nursing and Health Sciences
Robert Morris University
Pittsburgh, Pennsylvania
Dr. Horowitz discloses that he is a paid consultant and Advisory Board member to Johnson & Johnson Consumer Companies, Inc.
Ms. Rudy discloses that she is a paid consultant to Johnson & Johnson Consumer Companies, Inc.
This educational supplement to Pediatric News was sponsored by Johnson & Johnson Consumer Products Company.
Topic Highlights
- Introduction—Knowledge About Development and Maintenance of Normal Sleep and Healthy Skin in Infants and Children Continues to Evolve
- Sleep and Development in Infants and Toddlers
- Sleep in Young Children: A Cross-Cultural Perspective
- Sleep Education in Pediatric Residency Programs
- The Impact of Young Children’s Sleep on Maternal Sleep
- An iPhone® Application for Infant and Toddler Sleep: Concerns of Users
- Intra- and Interpersonal Changes in the Skin Microbiome from Infancy to Adulthood
- Chymotrypsin-Like Protease Activity in the Stratum Corneum is Increased in Atopic Dermatitis and Upon Washing with Soap
- Avena sativa Extracts in Atopic Eczema: A Two-Month Observational Study in Greece
Faculty/Faculty Disclosures
Paul Horowitz, MD, FAAP
Discovery Pediatrics
Valencia, California
Sherrill J. Rudy, MSN, CRNP
School of Nursing and Health Sciences
Robert Morris University
Pittsburgh, Pennsylvania
Dr. Horowitz discloses that he is a paid consultant and Advisory Board member to Johnson & Johnson Consumer Companies, Inc.
Ms. Rudy discloses that she is a paid consultant to Johnson & Johnson Consumer Companies, Inc.
This educational supplement to Pediatric News was sponsored by Johnson & Johnson Consumer Products Company.
Topic Highlights
- Introduction—Knowledge About Development and Maintenance of Normal Sleep and Healthy Skin in Infants and Children Continues to Evolve
- Sleep and Development in Infants and Toddlers
- Sleep in Young Children: A Cross-Cultural Perspective
- Sleep Education in Pediatric Residency Programs
- The Impact of Young Children’s Sleep on Maternal Sleep
- An iPhone® Application for Infant and Toddler Sleep: Concerns of Users
- Intra- and Interpersonal Changes in the Skin Microbiome from Infancy to Adulthood
- Chymotrypsin-Like Protease Activity in the Stratum Corneum is Increased in Atopic Dermatitis and Upon Washing with Soap
- Avena sativa Extracts in Atopic Eczema: A Two-Month Observational Study in Greece
Faculty/Faculty Disclosures
Paul Horowitz, MD, FAAP
Discovery Pediatrics
Valencia, California
Sherrill J. Rudy, MSN, CRNP
School of Nursing and Health Sciences
Robert Morris University
Pittsburgh, Pennsylvania
Dr. Horowitz discloses that he is a paid consultant and Advisory Board member to Johnson & Johnson Consumer Companies, Inc.
Ms. Rudy discloses that she is a paid consultant to Johnson & Johnson Consumer Companies, Inc.
Dawn of a new era: targeting the B-cell receptor signaling pathway to conquer B-cell lymphomas
Despite the advent of modern chemo- and radioimmunotherapies, the disease course in most mature B-cell malignancies (with the exception of diffuse large B-cell lymphoma [DLBCL] and Burkitt lymphoma) is highlighted by frequent relapses, progressively shorter remissions, and eventual emergence of therapy resistance. An effective salvage therapy in this setting remains an area of unmet medical need. Bruton’s tyrosine kinase (BTK) is a critical component of B-cell–receptor signaling that mediates interactions with the tumor microenvironment and promotes survival and proliferation of malignant B-cells.1,2 The BTK protein itself is a Tec family tyrosine kinase that is activated by spleen tyrosine kinase following B-cell-receptor stimulation and which is then required for downstream events including calcium release, activation of the NFB and NFAT pathways, cell survival and proliferation.1 The fundamental role of BTK in B-cell function is underscored by the human disease X-linked agammaglobulinemia, which is caused by loss of function mutations in BTK.3 These mutations result in the virtual absence of all B cells and immunoglobulins, leading to recurrent bacterial infections. Ibrutinib (formally known as PCI-32765) is the first-in-class BTK inhibitor to enter clinical trials. In a multicenter phase 1 dose-escalating study, 56 patients with relapsed or refractory B-cell lymphomas received escalated doses of oral ibrutinib either on an intermittent or continuous daily dosing schedule.4 The most common adverse effects were grade 1-2 nonhematologic toxicities, which included rash, nausea, fatigue, diarrhea, muscle spasms/myalgia, and arthralgia. An overall response rate (ORR) of 60% was achieved across all histological types with the best efficacy seen in patients with mantle cell lymphoma (MCL; 78%) and chronic lymphocytic leukemia (CLL; 68%).
Click on the PDF icon at the top of this article to read the full article.
Despite the advent of modern chemo- and radioimmunotherapies, the disease course in most mature B-cell malignancies (with the exception of diffuse large B-cell lymphoma [DLBCL] and Burkitt lymphoma) is highlighted by frequent relapses, progressively shorter remissions, and eventual emergence of therapy resistance. An effective salvage therapy in this setting remains an area of unmet medical need. Bruton’s tyrosine kinase (BTK) is a critical component of B-cell–receptor signaling that mediates interactions with the tumor microenvironment and promotes survival and proliferation of malignant B-cells.1,2 The BTK protein itself is a Tec family tyrosine kinase that is activated by spleen tyrosine kinase following B-cell-receptor stimulation and which is then required for downstream events including calcium release, activation of the NFB and NFAT pathways, cell survival and proliferation.1 The fundamental role of BTK in B-cell function is underscored by the human disease X-linked agammaglobulinemia, which is caused by loss of function mutations in BTK.3 These mutations result in the virtual absence of all B cells and immunoglobulins, leading to recurrent bacterial infections. Ibrutinib (formally known as PCI-32765) is the first-in-class BTK inhibitor to enter clinical trials. In a multicenter phase 1 dose-escalating study, 56 patients with relapsed or refractory B-cell lymphomas received escalated doses of oral ibrutinib either on an intermittent or continuous daily dosing schedule.4 The most common adverse effects were grade 1-2 nonhematologic toxicities, which included rash, nausea, fatigue, diarrhea, muscle spasms/myalgia, and arthralgia. An overall response rate (ORR) of 60% was achieved across all histological types with the best efficacy seen in patients with mantle cell lymphoma (MCL; 78%) and chronic lymphocytic leukemia (CLL; 68%).
Click on the PDF icon at the top of this article to read the full article.
Despite the advent of modern chemo- and radioimmunotherapies, the disease course in most mature B-cell malignancies (with the exception of diffuse large B-cell lymphoma [DLBCL] and Burkitt lymphoma) is highlighted by frequent relapses, progressively shorter remissions, and eventual emergence of therapy resistance. An effective salvage therapy in this setting remains an area of unmet medical need. Bruton’s tyrosine kinase (BTK) is a critical component of B-cell–receptor signaling that mediates interactions with the tumor microenvironment and promotes survival and proliferation of malignant B-cells.1,2 The BTK protein itself is a Tec family tyrosine kinase that is activated by spleen tyrosine kinase following B-cell-receptor stimulation and which is then required for downstream events including calcium release, activation of the NFB and NFAT pathways, cell survival and proliferation.1 The fundamental role of BTK in B-cell function is underscored by the human disease X-linked agammaglobulinemia, which is caused by loss of function mutations in BTK.3 These mutations result in the virtual absence of all B cells and immunoglobulins, leading to recurrent bacterial infections. Ibrutinib (formally known as PCI-32765) is the first-in-class BTK inhibitor to enter clinical trials. In a multicenter phase 1 dose-escalating study, 56 patients with relapsed or refractory B-cell lymphomas received escalated doses of oral ibrutinib either on an intermittent or continuous daily dosing schedule.4 The most common adverse effects were grade 1-2 nonhematologic toxicities, which included rash, nausea, fatigue, diarrhea, muscle spasms/myalgia, and arthralgia. An overall response rate (ORR) of 60% was achieved across all histological types with the best efficacy seen in patients with mantle cell lymphoma (MCL; 78%) and chronic lymphocytic leukemia (CLL; 68%).
Click on the PDF icon at the top of this article to read the full article.
Pazopanib shows promise as pediatric sarcoma therapy
Pazopanib was well tolerated and appeared to be of clinical benefit in children with soft tissue sarcoma in a phase I study. Although the findings are preliminary, eight children in the trial achieved stable disease and two achieved a partial response.
"The clinical activity of pazopanib is encouraging in this heavily pretreated pediatric population," said Dr. Julia Glad Bender, of Columbia University Medical Center, New York, and her associates (J. Clin. Oncol. 2013;31:3034-43).
Pazopanib (Votrient) is approved by the Food and Drug Administration as a treatment for adult patients with soft tissue sarcoma and in those with advanced renal cell carcinoma. The drug inhibited cell proliferation, angiogenesis, and possibly tumor growth in pediatric xenografts, prompting the research team to evaluate pazopanib’s therapeutic potential in children.
The multicenter phase I study examined the pharmacokinetic and pharmacodynamic properties of two formulations of pazopanib in children with soft tissue sarcoma or other refractory solid tumors. Overall, 51 children with a median age of 12.9 years and recurrent or refractory solid or primary central nervous system tumors were evaluated in the trial.
For the first component of the trial, the maximum tolerated dose (MTD) of a tablet formulation of pazopanib was determined in 25 children who had a median age of 13.5 years. The starting dose of pazopanib was 275 mg/m2 given every day in 28-day cycles for up to a maximum of 24 cycles. The MTD was found to be 450 mg/m2.
The researchers next determined the MTD of a powder suspension formulation of the drug based on the tablet MTD in 16 children with a median age of 10.5 years. The suspension MTD was found to be 160 mg/m2.
Finally, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was used at the start of and after 15 days’ treatment in 10 children with a median age of 17.2 years. All received pazopanib tablets at the MTD of 450 mg/m2. The aim was to see if there was any sign of a change in tumor angiogenesis in response to treatment.
The most common adverse effects seen with pazopanib treatment were gastrointestinal (diarrhea, nausea, and vomiting), fatigue, proteinuria, and hypertension. Grade 3-4 toxicities that limited dosing in the first cycle of treatment included elevations in lipase, amylase and alanine transaminase, proteinuria, and hypertension. There was a single (grade 4) case of intracranial hemorrhage in a child with occult brain metastases.
"Overall toxicity seemed to correlate with exposure rather than dose," the researchers wrote. The bioavailability of pazopanib appeared to be higher with the suspension than with the tablet formulation, so there might be a relationship between higher steady state plasma trough concentrations and the development of hypertension.
"In adults, elevated blood pressure has been suggested as a correlative marker for improved antitumor efficacy of VEGF [vascular endothelial growth factor] pathway inhibitors," the researchers wrote. "Additional studies are warranted to determine whether hypertension can be used to optimize dose or predict clinical benefit in children."
Eight patients in the trial had stable disease for 6 months or more, and seven of those children had soft tissue sarcomas. Partial responses were seen in two children – one with a desmoplastic small round cell tumor and one with a hepatoblastoma. The latter patient had to be removed from the study due to recurrent neutropenia after 12 cycles.
Results of the DCE-MRI analysis showed a decrease in tumor blood volume from a mean of 16% at the start of treatment to 7% at the end of pazopanib treatment (P = .004).
"To our knowledge, this is the first pediatric, multicenter trial to systematically evaluate DCE-MRI in soft tissue sarcoma, demonstrating the feasibility of performing such studies in a clinical trial network," Dr. Bender and team commented.
"Within the imaging stratum, all patients with interpretable studies had a decrease in tumor blood volume and permeability consistent with the antiangiogenic mechanism of pazopanib." Due to the small number of children evaluated, however, it is not possible to correlate the decrease in tumor blood volume with any clinical benefit.
A phase II trial is planned to further determine the pharmacokinetics and pharmacodynamic of pazopanib in children with soft tissue sarcomas and other refractory solid tumors.
The study was supported by grants from the Alex’s Lemonade Stand Foundation, Columbia University, GlaxoSmithKline, and the National Institutes of Health. Dr. Bender has acted as an unpaid advisor to GlaxoSmithKline. The other authors reported no conflicts of interest.
Pazopanib was well tolerated and appeared to be of clinical benefit in children with soft tissue sarcoma in a phase I study. Although the findings are preliminary, eight children in the trial achieved stable disease and two achieved a partial response.
"The clinical activity of pazopanib is encouraging in this heavily pretreated pediatric population," said Dr. Julia Glad Bender, of Columbia University Medical Center, New York, and her associates (J. Clin. Oncol. 2013;31:3034-43).
Pazopanib (Votrient) is approved by the Food and Drug Administration as a treatment for adult patients with soft tissue sarcoma and in those with advanced renal cell carcinoma. The drug inhibited cell proliferation, angiogenesis, and possibly tumor growth in pediatric xenografts, prompting the research team to evaluate pazopanib’s therapeutic potential in children.
The multicenter phase I study examined the pharmacokinetic and pharmacodynamic properties of two formulations of pazopanib in children with soft tissue sarcoma or other refractory solid tumors. Overall, 51 children with a median age of 12.9 years and recurrent or refractory solid or primary central nervous system tumors were evaluated in the trial.
For the first component of the trial, the maximum tolerated dose (MTD) of a tablet formulation of pazopanib was determined in 25 children who had a median age of 13.5 years. The starting dose of pazopanib was 275 mg/m2 given every day in 28-day cycles for up to a maximum of 24 cycles. The MTD was found to be 450 mg/m2.
The researchers next determined the MTD of a powder suspension formulation of the drug based on the tablet MTD in 16 children with a median age of 10.5 years. The suspension MTD was found to be 160 mg/m2.
Finally, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was used at the start of and after 15 days’ treatment in 10 children with a median age of 17.2 years. All received pazopanib tablets at the MTD of 450 mg/m2. The aim was to see if there was any sign of a change in tumor angiogenesis in response to treatment.
The most common adverse effects seen with pazopanib treatment were gastrointestinal (diarrhea, nausea, and vomiting), fatigue, proteinuria, and hypertension. Grade 3-4 toxicities that limited dosing in the first cycle of treatment included elevations in lipase, amylase and alanine transaminase, proteinuria, and hypertension. There was a single (grade 4) case of intracranial hemorrhage in a child with occult brain metastases.
"Overall toxicity seemed to correlate with exposure rather than dose," the researchers wrote. The bioavailability of pazopanib appeared to be higher with the suspension than with the tablet formulation, so there might be a relationship between higher steady state plasma trough concentrations and the development of hypertension.
"In adults, elevated blood pressure has been suggested as a correlative marker for improved antitumor efficacy of VEGF [vascular endothelial growth factor] pathway inhibitors," the researchers wrote. "Additional studies are warranted to determine whether hypertension can be used to optimize dose or predict clinical benefit in children."
Eight patients in the trial had stable disease for 6 months or more, and seven of those children had soft tissue sarcomas. Partial responses were seen in two children – one with a desmoplastic small round cell tumor and one with a hepatoblastoma. The latter patient had to be removed from the study due to recurrent neutropenia after 12 cycles.
Results of the DCE-MRI analysis showed a decrease in tumor blood volume from a mean of 16% at the start of treatment to 7% at the end of pazopanib treatment (P = .004).
"To our knowledge, this is the first pediatric, multicenter trial to systematically evaluate DCE-MRI in soft tissue sarcoma, demonstrating the feasibility of performing such studies in a clinical trial network," Dr. Bender and team commented.
"Within the imaging stratum, all patients with interpretable studies had a decrease in tumor blood volume and permeability consistent with the antiangiogenic mechanism of pazopanib." Due to the small number of children evaluated, however, it is not possible to correlate the decrease in tumor blood volume with any clinical benefit.
A phase II trial is planned to further determine the pharmacokinetics and pharmacodynamic of pazopanib in children with soft tissue sarcomas and other refractory solid tumors.
The study was supported by grants from the Alex’s Lemonade Stand Foundation, Columbia University, GlaxoSmithKline, and the National Institutes of Health. Dr. Bender has acted as an unpaid advisor to GlaxoSmithKline. The other authors reported no conflicts of interest.
Pazopanib was well tolerated and appeared to be of clinical benefit in children with soft tissue sarcoma in a phase I study. Although the findings are preliminary, eight children in the trial achieved stable disease and two achieved a partial response.
"The clinical activity of pazopanib is encouraging in this heavily pretreated pediatric population," said Dr. Julia Glad Bender, of Columbia University Medical Center, New York, and her associates (J. Clin. Oncol. 2013;31:3034-43).
Pazopanib (Votrient) is approved by the Food and Drug Administration as a treatment for adult patients with soft tissue sarcoma and in those with advanced renal cell carcinoma. The drug inhibited cell proliferation, angiogenesis, and possibly tumor growth in pediatric xenografts, prompting the research team to evaluate pazopanib’s therapeutic potential in children.
The multicenter phase I study examined the pharmacokinetic and pharmacodynamic properties of two formulations of pazopanib in children with soft tissue sarcoma or other refractory solid tumors. Overall, 51 children with a median age of 12.9 years and recurrent or refractory solid or primary central nervous system tumors were evaluated in the trial.
For the first component of the trial, the maximum tolerated dose (MTD) of a tablet formulation of pazopanib was determined in 25 children who had a median age of 13.5 years. The starting dose of pazopanib was 275 mg/m2 given every day in 28-day cycles for up to a maximum of 24 cycles. The MTD was found to be 450 mg/m2.
The researchers next determined the MTD of a powder suspension formulation of the drug based on the tablet MTD in 16 children with a median age of 10.5 years. The suspension MTD was found to be 160 mg/m2.
Finally, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was used at the start of and after 15 days’ treatment in 10 children with a median age of 17.2 years. All received pazopanib tablets at the MTD of 450 mg/m2. The aim was to see if there was any sign of a change in tumor angiogenesis in response to treatment.
The most common adverse effects seen with pazopanib treatment were gastrointestinal (diarrhea, nausea, and vomiting), fatigue, proteinuria, and hypertension. Grade 3-4 toxicities that limited dosing in the first cycle of treatment included elevations in lipase, amylase and alanine transaminase, proteinuria, and hypertension. There was a single (grade 4) case of intracranial hemorrhage in a child with occult brain metastases.
"Overall toxicity seemed to correlate with exposure rather than dose," the researchers wrote. The bioavailability of pazopanib appeared to be higher with the suspension than with the tablet formulation, so there might be a relationship between higher steady state plasma trough concentrations and the development of hypertension.
"In adults, elevated blood pressure has been suggested as a correlative marker for improved antitumor efficacy of VEGF [vascular endothelial growth factor] pathway inhibitors," the researchers wrote. "Additional studies are warranted to determine whether hypertension can be used to optimize dose or predict clinical benefit in children."
Eight patients in the trial had stable disease for 6 months or more, and seven of those children had soft tissue sarcomas. Partial responses were seen in two children – one with a desmoplastic small round cell tumor and one with a hepatoblastoma. The latter patient had to be removed from the study due to recurrent neutropenia after 12 cycles.
Results of the DCE-MRI analysis showed a decrease in tumor blood volume from a mean of 16% at the start of treatment to 7% at the end of pazopanib treatment (P = .004).
"To our knowledge, this is the first pediatric, multicenter trial to systematically evaluate DCE-MRI in soft tissue sarcoma, demonstrating the feasibility of performing such studies in a clinical trial network," Dr. Bender and team commented.
"Within the imaging stratum, all patients with interpretable studies had a decrease in tumor blood volume and permeability consistent with the antiangiogenic mechanism of pazopanib." Due to the small number of children evaluated, however, it is not possible to correlate the decrease in tumor blood volume with any clinical benefit.
A phase II trial is planned to further determine the pharmacokinetics and pharmacodynamic of pazopanib in children with soft tissue sarcomas and other refractory solid tumors.
The study was supported by grants from the Alex’s Lemonade Stand Foundation, Columbia University, GlaxoSmithKline, and the National Institutes of Health. Dr. Bender has acted as an unpaid advisor to GlaxoSmithKline. The other authors reported no conflicts of interest.
FROM THE JOURNAL OF CLINICAL ONCOLOGY
Major finding: Results of the DCE-MRI analysis showed a decrease in tumor blood volume from a mean of 16% at the start of treatment to 7% at the end of pazopanib treatment (P = .004).
Data source: Multicenter phase I pharmacokinetic and pharmacodynamic study of 51 children with soft tissue sarcoma or other refractory solid tumors.
Disclosures: The study was supported by grants from the Alex’s Lemonade Stand Foundation, Columbia University, GlaxoSmithKline, and the National Institutes of Health. Dr. Bender has acted as an unpaid advisor to GlaxoSmithKline. The other authors reported no conflicts of interest.
Study IDs predictors of unplanned hospital readmission after CEA
SAN FRANCISCO – The 30-day unplanned readmission rate following carotid endarterectomy was 6.5% in a single-center study.
In addition, four variables were significantly associated with unplanned readmission: in-hospital postoperative congestive heart failure (CHF) exacerbation; in-hospital postoperative stroke; in-hospital postoperative hematoma; and prior coronary artery bypass graft (CABG).
"Whether these complications are completely avoidable is unknown, but we do identify a group of patients who would probably benefit from more comprehensive discharge planning and careful postdischarge care," Dr. Karen J. Ho said at the Society for Vascular Surgery annual meeting earlier this year.
According to a study of Medicare claims data from 2003 to 2004, 20% of Medicare beneficiaries discharged from a hospital were rehospitalized within 30 days (N. Eng. J. Med. 2009;360:1418-28). The 30-day rehospitalization rate after vascular surgery was 24%, "the highest of all surgical specialties examined in the study," said Dr. Ho of the surgery department at Brigham and Women’s Hospital, Boston, who was not involved with the published study. "Medicare has started to decrease reimbursements for hospitals with excess readmissions after acute MI, heart failure, and pneumonia. Hip and knee replacements and chronic obstructive pulmonary disease will be added in 2014, and we anticipate that additional surgical procedures will be added thereafter," she said.
In an effort to determine the rate of 30-day unplanned readmission after carotid endarterectomy (CEA), Dr. Ho and her associates conducted a retrospective study of a prospectively collected vascular surgery database at Brigham and Women’s Hospital. The cohort included 896 consecutive CEAs performed between 2002 and 2011. Combined CABG/CEA procedures were excluded.
The primary endpoint was unplanned readmission within 30 days, defined as "any unanticipated, nonelective hospital readmission," she said. The secondary endpoint was 1-year survival.
The mean age of the patients was 70 years, 60% were male, and 95% were white. More than half (65%) had asymptomatic evidence of carotid artery disease.
Dr. Ho reported that the median postoperative length of stay was 1 day and that 9.9% of patients had at least one in-hospital complication. The most frequent in-hospital complication was bleeding/hematoma (4.1%), followed by arrhythmia (2.1%), dysphagia (1.7%), stroke (1.3%), and myocardial infarction (1.2%). Only 3% of patients required a reoperation, while most (94%) were discharged to home. The 30-day stroke rate was 1.7%, while the 30-day death rate was 0.6%.
The overall 30-day readmission rate was 8.6%, while the unplanned 30-day readmission rate was 6.5%. "Most of the overall readmissions (80%) occurred in the first 10 days, and the median time to unplanned readmission was 4 days," Dr. Ho said.
The most common reason for an unplanned readmission was a cardiac complication, followed by headache, bleeding/hematoma, stroke/transient ischemic attack/intracerebral hemorrhage, or other medical emergency. More than one-quarter of patients (27.5%) had more than one reason for an unplanned readmission, while 87.9% of patients had a CEA-related unplanned readmission.
When the researchers performed a univariate analysis followed by analysis with a multivariable Cox model for unplanned readmission, four variables were independently associated with unplanned readmission: in-hospital postoperative CHF exacerbation (hazard ratio, 15.1), in-hospital postoperative stroke (HR, 5.0), in-hospital postoperative hematoma (HR, 3.1), and prior CABG (HR, 2.0).
They also observed a significant difference in survival at 1 year between patients who had an unplanned readmission and those who did not (91% vs. 96%, respectively; P less than .01.) "It’s unclear whether these deaths in the unplanned readmission group were preventable or if they were related to carotid disease or to a procedure-related complication," Dr. Ho said. "Our guess is that the increased overall burden of comorbid disease in these patients, rather than the readmission itself, predicted decreased survival."
Limitations of the study included its retrospective design and the fact that it was conducted at a single center, she said, "but we do know that our unplanned readmission rate is comparable to estimates from recent Medicare data."
Dr. Ho said she had no relevant financial disclosures.
Over the past several years, the role of carotid endarterectomy (CEA) for asymptomatic carotid stenosis has, again, come under the microscope; with many proponents still advocating CEA as the treatment of choice for asymptomatic patients with greater than or equal to 60% stenosis, while some propose greater than or equal to 70-80% stenosis in good surgical risk patients. Meanwhile, others oppose this philosophy because of the advances in modern medical therapy for patients with atherosclerosis, in general, with emphasis on risk modification. The findings of this article are quite disturbing, since the authors concluded that the 30-day unplanned re-admission rate after CEA was 6.5%; this is especially surprising to me, coming from this institution.
| Dr. AbuRahma |
The authors also concluded that unplanned re-admission rate was influenced by congestive heart failure, in-hospital postoperative stroke, in-hospital postoperative hematoma, and prior coronary artery bypass grafting. This emphasizes the importance of selection, selection, selection for asymptomatic carotid artery stenosis, if the outcome is to be acceptable to those who still advocate carotid endarterectomy for asymptomatic carotid disease.
Perhaps this procedure should not be encouraged for patients with congestive heart failure or those with severe coronary artery disease, unstable angina. Today, Level I evidence still supports carotid endarterectomy for patients with severe carotid artery stenosis, provided the patient is a good surgical risk, with relatively good longevity; with perioperative stroke and/or death rates of less than 3%. Several modern clinical series have concluded that CEA can be done in these patients with a stroke and/or death rate of less than 1-2%, which was produced most recently in the CREST trial. For those clinicians who cannot keep these numbers down, perhaps this procedure should not be done for asymptomatic carotid disease. What’s also surprising to me, is the in-hospital postoperative hematomas, which I presume necessitated the re-admission and, perhaps, reoperation. This should highlight the fact that, perhaps, we need to look further as to whether or not these patients should be on a combined regimen of aspirin and Plavix, preoperatively and postoperatively, as prescribed by many clinicians.
There is no Level I evidence to support that the combination of aspirin and Plavix, postoperatvely, for these patients would yield a better outcome than simple aspirin daily. It is difficult to determine from this study whether a significant portion of their patients were on dual antiplatelet therapy.
It is also interesting to notice that the authors found that almost 10% of patients had at least one in-hospital complication; some of which were major complications, e.g. stroke, MI, and dysphagia. Including bleeding/hematoma in these complications, which may not have necessitated surgery, may have inflated this number. A similar observation can be made regarding postoperative arrhythmias, particularly if they did not necessitate extra therapy. However, the fact of the matter is that it should be emphasized that the selection of patients for carotid endarterectomy in asymptomatic patients is extremely critical if this procedure is to be continued or blessed.
Dr. Ali F. AbuRahma is Professor of Surgery and Chief, Vascular & Endovascular Surgery, and Director, Vascular Surgery Fellowship and Residency Programs, and Medical Director, Vascular Laboratory, Co-Director, Vascular Center of Excellence, Robert C. Byrd Health Sciences Center, West Virginia University, Charleston Area Medical Center, Charleston. He is a also an associate medical editor of Vascular Specialist.
Over the past several years, the role of carotid endarterectomy (CEA) for asymptomatic carotid stenosis has, again, come under the microscope; with many proponents still advocating CEA as the treatment of choice for asymptomatic patients with greater than or equal to 60% stenosis, while some propose greater than or equal to 70-80% stenosis in good surgical risk patients. Meanwhile, others oppose this philosophy because of the advances in modern medical therapy for patients with atherosclerosis, in general, with emphasis on risk modification. The findings of this article are quite disturbing, since the authors concluded that the 30-day unplanned re-admission rate after CEA was 6.5%; this is especially surprising to me, coming from this institution.
| Dr. AbuRahma |
The authors also concluded that unplanned re-admission rate was influenced by congestive heart failure, in-hospital postoperative stroke, in-hospital postoperative hematoma, and prior coronary artery bypass grafting. This emphasizes the importance of selection, selection, selection for asymptomatic carotid artery stenosis, if the outcome is to be acceptable to those who still advocate carotid endarterectomy for asymptomatic carotid disease.
Perhaps this procedure should not be encouraged for patients with congestive heart failure or those with severe coronary artery disease, unstable angina. Today, Level I evidence still supports carotid endarterectomy for patients with severe carotid artery stenosis, provided the patient is a good surgical risk, with relatively good longevity; with perioperative stroke and/or death rates of less than 3%. Several modern clinical series have concluded that CEA can be done in these patients with a stroke and/or death rate of less than 1-2%, which was produced most recently in the CREST trial. For those clinicians who cannot keep these numbers down, perhaps this procedure should not be done for asymptomatic carotid disease. What’s also surprising to me, is the in-hospital postoperative hematomas, which I presume necessitated the re-admission and, perhaps, reoperation. This should highlight the fact that, perhaps, we need to look further as to whether or not these patients should be on a combined regimen of aspirin and Plavix, preoperatively and postoperatively, as prescribed by many clinicians.
There is no Level I evidence to support that the combination of aspirin and Plavix, postoperatvely, for these patients would yield a better outcome than simple aspirin daily. It is difficult to determine from this study whether a significant portion of their patients were on dual antiplatelet therapy.
It is also interesting to notice that the authors found that almost 10% of patients had at least one in-hospital complication; some of which were major complications, e.g. stroke, MI, and dysphagia. Including bleeding/hematoma in these complications, which may not have necessitated surgery, may have inflated this number. A similar observation can be made regarding postoperative arrhythmias, particularly if they did not necessitate extra therapy. However, the fact of the matter is that it should be emphasized that the selection of patients for carotid endarterectomy in asymptomatic patients is extremely critical if this procedure is to be continued or blessed.
Dr. Ali F. AbuRahma is Professor of Surgery and Chief, Vascular & Endovascular Surgery, and Director, Vascular Surgery Fellowship and Residency Programs, and Medical Director, Vascular Laboratory, Co-Director, Vascular Center of Excellence, Robert C. Byrd Health Sciences Center, West Virginia University, Charleston Area Medical Center, Charleston. He is a also an associate medical editor of Vascular Specialist.
Over the past several years, the role of carotid endarterectomy (CEA) for asymptomatic carotid stenosis has, again, come under the microscope; with many proponents still advocating CEA as the treatment of choice for asymptomatic patients with greater than or equal to 60% stenosis, while some propose greater than or equal to 70-80% stenosis in good surgical risk patients. Meanwhile, others oppose this philosophy because of the advances in modern medical therapy for patients with atherosclerosis, in general, with emphasis on risk modification. The findings of this article are quite disturbing, since the authors concluded that the 30-day unplanned re-admission rate after CEA was 6.5%; this is especially surprising to me, coming from this institution.
| Dr. AbuRahma |
The authors also concluded that unplanned re-admission rate was influenced by congestive heart failure, in-hospital postoperative stroke, in-hospital postoperative hematoma, and prior coronary artery bypass grafting. This emphasizes the importance of selection, selection, selection for asymptomatic carotid artery stenosis, if the outcome is to be acceptable to those who still advocate carotid endarterectomy for asymptomatic carotid disease.
Perhaps this procedure should not be encouraged for patients with congestive heart failure or those with severe coronary artery disease, unstable angina. Today, Level I evidence still supports carotid endarterectomy for patients with severe carotid artery stenosis, provided the patient is a good surgical risk, with relatively good longevity; with perioperative stroke and/or death rates of less than 3%. Several modern clinical series have concluded that CEA can be done in these patients with a stroke and/or death rate of less than 1-2%, which was produced most recently in the CREST trial. For those clinicians who cannot keep these numbers down, perhaps this procedure should not be done for asymptomatic carotid disease. What’s also surprising to me, is the in-hospital postoperative hematomas, which I presume necessitated the re-admission and, perhaps, reoperation. This should highlight the fact that, perhaps, we need to look further as to whether or not these patients should be on a combined regimen of aspirin and Plavix, preoperatively and postoperatively, as prescribed by many clinicians.
There is no Level I evidence to support that the combination of aspirin and Plavix, postoperatvely, for these patients would yield a better outcome than simple aspirin daily. It is difficult to determine from this study whether a significant portion of their patients were on dual antiplatelet therapy.
It is also interesting to notice that the authors found that almost 10% of patients had at least one in-hospital complication; some of which were major complications, e.g. stroke, MI, and dysphagia. Including bleeding/hematoma in these complications, which may not have necessitated surgery, may have inflated this number. A similar observation can be made regarding postoperative arrhythmias, particularly if they did not necessitate extra therapy. However, the fact of the matter is that it should be emphasized that the selection of patients for carotid endarterectomy in asymptomatic patients is extremely critical if this procedure is to be continued or blessed.
Dr. Ali F. AbuRahma is Professor of Surgery and Chief, Vascular & Endovascular Surgery, and Director, Vascular Surgery Fellowship and Residency Programs, and Medical Director, Vascular Laboratory, Co-Director, Vascular Center of Excellence, Robert C. Byrd Health Sciences Center, West Virginia University, Charleston Area Medical Center, Charleston. He is a also an associate medical editor of Vascular Specialist.
SAN FRANCISCO – The 30-day unplanned readmission rate following carotid endarterectomy was 6.5% in a single-center study.
In addition, four variables were significantly associated with unplanned readmission: in-hospital postoperative congestive heart failure (CHF) exacerbation; in-hospital postoperative stroke; in-hospital postoperative hematoma; and prior coronary artery bypass graft (CABG).
"Whether these complications are completely avoidable is unknown, but we do identify a group of patients who would probably benefit from more comprehensive discharge planning and careful postdischarge care," Dr. Karen J. Ho said at the Society for Vascular Surgery annual meeting earlier this year.
According to a study of Medicare claims data from 2003 to 2004, 20% of Medicare beneficiaries discharged from a hospital were rehospitalized within 30 days (N. Eng. J. Med. 2009;360:1418-28). The 30-day rehospitalization rate after vascular surgery was 24%, "the highest of all surgical specialties examined in the study," said Dr. Ho of the surgery department at Brigham and Women’s Hospital, Boston, who was not involved with the published study. "Medicare has started to decrease reimbursements for hospitals with excess readmissions after acute MI, heart failure, and pneumonia. Hip and knee replacements and chronic obstructive pulmonary disease will be added in 2014, and we anticipate that additional surgical procedures will be added thereafter," she said.
In an effort to determine the rate of 30-day unplanned readmission after carotid endarterectomy (CEA), Dr. Ho and her associates conducted a retrospective study of a prospectively collected vascular surgery database at Brigham and Women’s Hospital. The cohort included 896 consecutive CEAs performed between 2002 and 2011. Combined CABG/CEA procedures were excluded.
The primary endpoint was unplanned readmission within 30 days, defined as "any unanticipated, nonelective hospital readmission," she said. The secondary endpoint was 1-year survival.
The mean age of the patients was 70 years, 60% were male, and 95% were white. More than half (65%) had asymptomatic evidence of carotid artery disease.
Dr. Ho reported that the median postoperative length of stay was 1 day and that 9.9% of patients had at least one in-hospital complication. The most frequent in-hospital complication was bleeding/hematoma (4.1%), followed by arrhythmia (2.1%), dysphagia (1.7%), stroke (1.3%), and myocardial infarction (1.2%). Only 3% of patients required a reoperation, while most (94%) were discharged to home. The 30-day stroke rate was 1.7%, while the 30-day death rate was 0.6%.
The overall 30-day readmission rate was 8.6%, while the unplanned 30-day readmission rate was 6.5%. "Most of the overall readmissions (80%) occurred in the first 10 days, and the median time to unplanned readmission was 4 days," Dr. Ho said.
The most common reason for an unplanned readmission was a cardiac complication, followed by headache, bleeding/hematoma, stroke/transient ischemic attack/intracerebral hemorrhage, or other medical emergency. More than one-quarter of patients (27.5%) had more than one reason for an unplanned readmission, while 87.9% of patients had a CEA-related unplanned readmission.
When the researchers performed a univariate analysis followed by analysis with a multivariable Cox model for unplanned readmission, four variables were independently associated with unplanned readmission: in-hospital postoperative CHF exacerbation (hazard ratio, 15.1), in-hospital postoperative stroke (HR, 5.0), in-hospital postoperative hematoma (HR, 3.1), and prior CABG (HR, 2.0).
They also observed a significant difference in survival at 1 year between patients who had an unplanned readmission and those who did not (91% vs. 96%, respectively; P less than .01.) "It’s unclear whether these deaths in the unplanned readmission group were preventable or if they were related to carotid disease or to a procedure-related complication," Dr. Ho said. "Our guess is that the increased overall burden of comorbid disease in these patients, rather than the readmission itself, predicted decreased survival."
Limitations of the study included its retrospective design and the fact that it was conducted at a single center, she said, "but we do know that our unplanned readmission rate is comparable to estimates from recent Medicare data."
Dr. Ho said she had no relevant financial disclosures.
SAN FRANCISCO – The 30-day unplanned readmission rate following carotid endarterectomy was 6.5% in a single-center study.
In addition, four variables were significantly associated with unplanned readmission: in-hospital postoperative congestive heart failure (CHF) exacerbation; in-hospital postoperative stroke; in-hospital postoperative hematoma; and prior coronary artery bypass graft (CABG).
"Whether these complications are completely avoidable is unknown, but we do identify a group of patients who would probably benefit from more comprehensive discharge planning and careful postdischarge care," Dr. Karen J. Ho said at the Society for Vascular Surgery annual meeting earlier this year.
According to a study of Medicare claims data from 2003 to 2004, 20% of Medicare beneficiaries discharged from a hospital were rehospitalized within 30 days (N. Eng. J. Med. 2009;360:1418-28). The 30-day rehospitalization rate after vascular surgery was 24%, "the highest of all surgical specialties examined in the study," said Dr. Ho of the surgery department at Brigham and Women’s Hospital, Boston, who was not involved with the published study. "Medicare has started to decrease reimbursements for hospitals with excess readmissions after acute MI, heart failure, and pneumonia. Hip and knee replacements and chronic obstructive pulmonary disease will be added in 2014, and we anticipate that additional surgical procedures will be added thereafter," she said.
In an effort to determine the rate of 30-day unplanned readmission after carotid endarterectomy (CEA), Dr. Ho and her associates conducted a retrospective study of a prospectively collected vascular surgery database at Brigham and Women’s Hospital. The cohort included 896 consecutive CEAs performed between 2002 and 2011. Combined CABG/CEA procedures were excluded.
The primary endpoint was unplanned readmission within 30 days, defined as "any unanticipated, nonelective hospital readmission," she said. The secondary endpoint was 1-year survival.
The mean age of the patients was 70 years, 60% were male, and 95% were white. More than half (65%) had asymptomatic evidence of carotid artery disease.
Dr. Ho reported that the median postoperative length of stay was 1 day and that 9.9% of patients had at least one in-hospital complication. The most frequent in-hospital complication was bleeding/hematoma (4.1%), followed by arrhythmia (2.1%), dysphagia (1.7%), stroke (1.3%), and myocardial infarction (1.2%). Only 3% of patients required a reoperation, while most (94%) were discharged to home. The 30-day stroke rate was 1.7%, while the 30-day death rate was 0.6%.
The overall 30-day readmission rate was 8.6%, while the unplanned 30-day readmission rate was 6.5%. "Most of the overall readmissions (80%) occurred in the first 10 days, and the median time to unplanned readmission was 4 days," Dr. Ho said.
The most common reason for an unplanned readmission was a cardiac complication, followed by headache, bleeding/hematoma, stroke/transient ischemic attack/intracerebral hemorrhage, or other medical emergency. More than one-quarter of patients (27.5%) had more than one reason for an unplanned readmission, while 87.9% of patients had a CEA-related unplanned readmission.
When the researchers performed a univariate analysis followed by analysis with a multivariable Cox model for unplanned readmission, four variables were independently associated with unplanned readmission: in-hospital postoperative CHF exacerbation (hazard ratio, 15.1), in-hospital postoperative stroke (HR, 5.0), in-hospital postoperative hematoma (HR, 3.1), and prior CABG (HR, 2.0).
They also observed a significant difference in survival at 1 year between patients who had an unplanned readmission and those who did not (91% vs. 96%, respectively; P less than .01.) "It’s unclear whether these deaths in the unplanned readmission group were preventable or if they were related to carotid disease or to a procedure-related complication," Dr. Ho said. "Our guess is that the increased overall burden of comorbid disease in these patients, rather than the readmission itself, predicted decreased survival."
Limitations of the study included its retrospective design and the fact that it was conducted at a single center, she said, "but we do know that our unplanned readmission rate is comparable to estimates from recent Medicare data."
Dr. Ho said she had no relevant financial disclosures.
Major finding: Four variables were independently associated with unplanned readmission: in-hospital postoperative CHF exacerbation (hazard ratio, 15.1), in-hospital postoperative stroke (HR, 5.0), in-hospital postoperative hematoma (HR, 3.1), and prior CABG (HR, 2.0).
Data source: A study of 896 consecutive CEAs performed between 2002 and 2011 at Brigham and Women’s Hospital, Boston.
Disclosures: Dr. Ho said she had no relevant financial disclosures.
Physician Burnout Meta‐analysis
Hospital medicine is a rapidly growing field of US clinical practice.[1] Almost since its advent, concerns have been expressed about the potential for hospitalists to burn out.[2] Hospitalists are not unique in this; similar concerns heralded the arrival of other location‐defined specialties, including emergency medicine[3] and the full‐time intensivist model,[4] a fact that has not gone unnoted in the literature about hospitalists.[5]
The existing international literature on physician burnout provides good reason for this concern. Inpatient‐based physicians tend to work unpredictable schedules, with substantial impact on home life.[6] They tend to be young, and much burnout literature suggests a higher risk among younger, less‐experienced physicians.[7] When surveyed, hospitalists have expressed more concerns about their potential for burnout than their outpatient‐based colleagues.[8]
In fact, data suggesting a correlation between inpatient practice and burnout predate the advent of the US hospitalist movement. Increased hospital time was reported to correlate with higher rates of burnout in internists,[9] family practitioners,[10] palliative physicians,[11] junior doctors,[12] radiologists,[13] and cystic fibrosis caregivers.[14] In 1987, Keinan and Melamed[15] noted, Hospital work by its very nature, as compared to the work of a general practitioner, deals with the more severe and complicated illnesses, coupled with continuous daily contacts with patients and their anxious families. In addition, these physicians may find themselves embroiled in the power struggles and competition so common in their work environment.
There are other features, however, that may protect inpatient physicians from burnout. Hospital practice can facilitate favorable social relations involving colleagues, co‐workers, and patients,[16] a factor that may be protective.[17] A hospitalist schedule also can allow more focused time for continuing medical education, research, and teaching,[18] which have all been associated with reduced risk of burnout in some studies.[17] Studies of psychiatrists[19] and pediatricians[20] have shown a lower rate of burnout among physicians with more inpatient duties. Finally, a practice model involving a seemingly stable cadre of inpatient physicians has existed in Europe for decades,[2] indicating at least a degree of sustainability.
Information suggesting a higher rate of burnout among inpatient physicians could be used to target therapeutic interventions and to adjust schedules, whereas the opposite outcome could refute a pervasive myth. We therefore endeavored to summarize the literature on burnout among inpatient versus outpatient physicians in a systematic fashion, and to include data not only from the US hospitalist experience but also from other countries that have used a similar model for decades. Our primary hypothesis was that inpatient physicians experience more burnout than outpatient physicians.
It is important to distinguish burnout from depression, job dissatisfaction, and occupational stress, all of which have been studied extensively in physicians. Burnout, as introduced by Freudenberger[21] and further characterized by Maslach,[22] is a condition in which emotional exhaustion, depersonalization, and a low sense of personal accomplishment combine to negatively affect work life (as opposed to clinical depression, which affects all aspects of life). Job satisfaction can correlate inversely with burnout, but it is a separate process[23] and the subject of a recent systematic review.[24] The importance of distinguishing burnout from job dissatisfaction is illustrated by a survey of head and neck surgeons, in which 97% of those surveyed indicated satisfaction with their jobs and 34% of the same group answered in the affirmative when asked if they felt burned out.[25]
One obstacle to the meaningful comparison of burnout prevalence across time, geography, and specialty is the myriad ways in which burnout is measured and reported. The oldest and most commonly used instrument to measure burnout is the Maslach Burnout Inventory (MBI), which contains 22 items assessing 3 components of burnout (emotional exhaustion, depersonalization, and low personal accomplishment).[26] Other measures include the Copenhagen Burnout Inventory[27] (19 items with the components personal burnout, work‐related burnout, and client‐related burnout), Utrecht Burnout Inventory[28] (20‐item modification of the MBI), Boudreau Burnout Questionnaire[29] (30 items), Arbeitsbezogenes Verhaltens und Erlebensmuster[30] (66‐item questionnaire assessing professional commitment, resistance to stress, and emotional well‐being), Shirom‐Melamed Burnout Measure[31] (22 items with subscales for physical fatigue, cognitive weariness, tension, and listlessness), and a validated single‐item questionnaire.[32]
METHODS
Electronic searches of MEDLINE, EMBASE, PsycINFO, SCOPUS, and PubMed were undertaken for articles published from January 1, 1974 (the year in which burnout was first described by Freudenberger[21]) to 2012 (last accessed, September 12, 2012) using the Medical Subject Headings (MeSH) terms stress, psychological; burnout, professional; adaptation, psychological; and the keyword burnout. The same sources were searched to create another set for the MeSH terms hospitalists, physician's practice patterns, physicians/px, professional practice location, and the keyword hospitalist#. Where exact subject headings did not exist in databases, comparable subject headings or keywords were used. The 2 sets were then combined using the operator and. Abstracts from the Society of Hospital Medicine annual conferences were hand‐searched, as were reference lists from identified articles. To ensure that pertinent international literature was captured, there was no language restriction in the search.
A 2‐stage screening process was used. The titles and abstracts of all articles identified in the search were independently reviewed by 2 investigators (D.L.R. and K.J.C.) who had no knowledge of each other's results. An article was obtained when either reviewer deemed it worthy of full‐text review.
All full‐text articles were independently reviewed by the same 2 investigators. The inclusion criterion was the measurement of burnout in physicians who are stated to or can be reasonably assumed to spend the substantial majority of their clinical practice exclusively in either the inpatient or the outpatient setting. Studies of emergency department physicians or specialists who invariably spend substantial amounts of time in both settings (eg, surgeons, anesthesiologists) were excluded. Studies limited to trainees or nonphysicians were also excluded. For both stages of review, agreement between the 2 investigators was assessed by calculating the statistic. Disagreements about inclusion were adjudicated by a third investigator (A.I.B.).
Because our goal was to establish and compare the rate of burnout among US hospitalists and other inpatient physicians around the world, we included studies of hospitalists according to the definition in use at the time of the individual study, noting that the formal definition of a hospitalist has changed over the years.[33] Because practice patterns for physicians described as primary care physicians, family doctors, hospital doctors, and others differ substantially from country to country, we otherwise included only the studies where the practice location was stated explicitly or where the authors confirmed that their study participants either are known or can be reasonably assumed to spend more than 75% of their time caring for hospital inpatients, or are known or can be reasonably assumed to spend the vast majority of their time caring for outpatients.
Data were abstracted using a standardized form and included the measure of burnout used in the study, results, practice location of study subjects, and total number of study subjects. When data were not clear (eg, burnout measured but not reported by the authors, practice location of study subjects not clear), authors were contacted by email, or when no current email address could be located or no response was received, by telephone or letter. In instances where burnout was measured repeatedly over time or before and after a specific intervention, only the baseline measurement was recorded. Because all studies were expected to be nonrandomized, methodological quality was assessed using a version of the tool of Downs and Black,[34] adapted where necessary by omitting questions not applicable to the specific study type (eg randomization for survey studies)[35] and giving a maximum of 1 point for the inclusion of a power calculation.
Two a priori analyses were planned: (1) a statistical comparison of articles directly comparing burnout among inpatient and outpatient physicians, and (2) a statistical comparison of articles measuring burnout among inpatient physicians with articles measuring burnout among outpatient physicians by the most frequently reported measuremean subset scores for emotional exhaustion, depersonalization, and personal accomplishment on the MBI.
The primary outcome measures were the differences between mean subset scores for emotional exhaustion, depersonalization, and personal accomplishment on the MBI. All differences are expressed as (outpatient meaninpatient mean). The variance of each outcome was calculated with standard formulas.[36] To calculate the overall estimate, each study was weighted by the reciprocal of its variance. Studies with fewer than 10 subjects were excluded from statistical analysis but retained in the systematic review.
For studies that reported data for both inpatient and outpatient physicians (double‐armed studies), Cochran Q test and the I2 value were used to assess heterogeneity.[37, 38] Substantial heterogeneity was expected because these individual studies were conducted for different populations in different settings with different study designs, and this expectation was confirmed statistically. Therefore, we used a random effects model to estimate the overall effect, providing a conservative approach that accounted for heterogeneity among studies.[39]
To assess the durability of our findings, we performed separate multivariate meta‐regression analyses by including single‐armed studies only and including both single‐armed and double‐armed studies. For these meta‐regressions, means were again weighted by the reciprocal of their variances, and the arms of 2‐armed studies were considered separately. This approach allowed us to generate an estimate of the differences between MBI subset scores from studies that did not include such an estimate when analyzed separately.[40]
We examined the potential for publication bias in double‐armed studies by constructing a funnel plot, in which mean scores were plotted against their standard errors.[41] The trim‐and‐fill method was used to determine whether adjustment for publication bias was necessary. In addition, Begg's rank correlation test[42] was completed to test for statistically significant publication bias.
Stata 10.0 statistical software (StataCorp, College Station, TX) was used for data analyses. A P value of 0.05 or less was deemed statistically significant. The Preferred Reporting Items for Systematic Reviews and Meta‐analysis checklist was used for the design and execution of the systematic review and meta‐analysis.[43]
Subgroup analyses based on location were undertaken a posteriori. All data (double‐armed meta‐analysis, meta‐regression of single‐armed studies, and meta‐regression of single‐ and double‐armed studies) were analyzed by location (United States vs other; United States vs Europe vs other).
RESULTS
The search results are outlined in Figure 1. In total, 1704 articles met the criteria for full‐text review. A review of pertinent reference lists and author contacts led to the addition of 149 articles. Twenty‐nine references could not be located by any means, despite repeated attempts. Therefore, 1824 articles were subjected to full‐text review by the 2 investigators.
Initially, 57 articles were found that met criteria for inclusion. Of these, 2 articles reported data in formats that could not be interpreted.[44, 45] When efforts to clarify the data with the authors were unsuccessful, these studies were excluded. A study specifically designed to assess the response of physicians to a recent series of terrorist attacks[46] was excluded a posteriori because of lack of generalizability. Of the other 54 studies, 15 reported burnout data on both outpatient physicians and inpatient physicians, 22 reported data on outpatient physicians only, and 17 reported data on inpatient physicians only. Table 1 summarizes the results of the 37 studies involving outpatient physicians; Table 2 summarizes the 32 studies involving inpatient physicians.
| Lead Author, Publication Year | Study Population and Location | Instrument | No. of Participants | EE Score (SD)a | DP Score (SD) | PA Score (SD) | Other Results |
|---|---|---|---|---|---|---|---|
| |||||||
| Schweitzer, 1994[12] | Young physicians of various specialties in South Africa | Single‐item survey | 7 | 6 (83%) endorsed burnout | |||
| Aasland, 1997 [54]b | General practitioners in Norway | Modified MBI (22 items; scale, 15) | 298 | 2.65 (0.80) | 1.90 (0.59) | 3.45 (0.40) | |
| Grassi, 2000 [58] | General practitioners in Italy | MBI | 182 | 18.49 (11.49) | 6.11 (5.86) | 38.52 (7.60) | |
| McManus, 2000 [59]b | General practitioners in United Kingdom | Modified MBI (9 items; scale, 06) | 800 | 8.34 (4.39) | 3.18 (3.40) | 14.16 (2.95) | |
| Yaman, 2002 [60] | General practitioners in 8 European nations | MBI | 98 | 25.1 (8.50) | 7.3 (4.92) | 34.5 (7.67) | |
| Cathbras, 2004 [61] | General practitioners in France | MBI | 306 | 21.85 (12.4) | 9.13 (6.7) | 38.7 (7.1) | |
| Goehring, 2005 [63] | General practitioners, general internists, pediatricians in Switzerland | MBI | 1755 | 17.9 (9.8) | 6.5 (4.7) | 39.6 (6.5) | |
| Esteva, 2006 [64] | General practitioners, pediatricians in Spain | MBI | 261 | 27.4 (11.8) | 10.07 (6.4) | 35.9 (7.06) | |
| Gandini, 2006 [65]b | Physicians of various specialties in Argentina | MBI | 67 | 31.0 (13.8) | 10.2 (6.6) | 38.4 (6.8) | |
| Ozyurt, 2006 [66] | General practitioners in Turkey | Modified MBI (22 items; scale, 04) | 55 | 15.23 (5.80) | 4.47 (3.31) | 23.38 (4.29) | |
| Deighton, 2007 [67]b | Psychiatrists in several German‐speaking nations | MBI | 19 | 30.68 (9.92) | 13.42 (4.23) | 37.16 (3.39) | |
| Dunwoodie, 2007 [68]b | Palliative care physicians in Australia | MBI | 21 | 14.95 (9.14) | 3.95 (3.40) | 38.90 (2.88) | |
| Srgaard, 2007 [69]b | Psychiatrists in 5 European nations | MBI | 22 | 19.41 (8.08) | 6.68 (4.93) | 39.00 (4.40) | |
| Sosa Oberlin, 2007 [56]b | Physicians of various specialties in Argentina | Author‐designed instrument | 33 | 26 (78.8%) had 4 burnout symptoms, 6.15 symptoms per physician | |||
| Voltmer, 2007 [57]b | Physicians of various specialties in Germany | AVEM | 46 | 11 (23.9%) exhibited burnout (type B) pattern | |||
| dm, 2008 [70]b | Physicians of various specialties in Hungary | MBI | 163 | 17.45 (11.12) | 4.86 (4.91) | 36.56 (7.03) | |
| Di Iorio, 2008 [71]b | Dialysis physicians in Italy | Author‐designed instrument | 54 | Work: 2.6 (1.5), Material: 3.1 (2.1), Climate: 3.0 (1.1), Objectives: 3.4 (1.6), Quality: 2.2 (1.5), Justification: 3.2 (2.0) | |||
| Lee, 2008 [49]b | Family physicians in Canada | MBI | 123 | 26.26 (9.53) | 10.20 (5.22) | 38.43 (7.34) | |
| Truchot, 2008 [72] | General practitioners in France | MBI | 259 | 25.4 (11.7) | 7.5 (5.5) | 36.5 (7.1) | |
| Twellaar, 2008 [73]b | General practitioners in the Netherlands | Utrecht Burnout Inventory | 349 | 2.06 (1.11) | 1.71 (1.05) | 5.08 (0.77) | |
| Arigoni, 2009 [17] | General practitioners, pediatricians in Switzerland | MBI | 258 | 22.8 (12.0) | 6.9 (6.1) | 39.0 (7.2) | |
| Bernhardt, 2009 [75] | Clinical geneticists in United States | MBI | 72 | 25.8 (10.01)c | 10.9 (4.16)c | 34.8 (5.43)c | |
| Bressi, 2009 [76]b | Psychiatrists in Italy | MBI | 53 | 23.15 (11.99) | 7.02 (6.29) | 36.41 (7.54) | |
| Krasner, 2009 [77] | General practitioners in United States | MBI | 60 | 26.8 (10.9)d | 8.4 (5.1)d | 40.2 (5.3)d | |
| Lasalvia, 2009 [55]b | Psychiatrists in Italy | Modified MBI (16 items; scale, 06) | 38 | 2.37 (1.27) | 1.51 (1.15) | 4.46 (0.87) | |
| Peisah, 2009 [79]b | Physicians of various specialties in Australia | MBI | 28 | 13.92 (9.24) | 3.66 (3.95) | 39.34 (8.55) | |
| Shanafelt, 2009 [80]b | Physicians of various specialties in United States | MBI | 408 | 20.5 (11.10) | 4.3 (4.74) | 40.8 (6.26) | |
| Zantinge, 2009 [81] | General practitioners in the Netherlands | Utrecht Burnout Inventory | 126 | 1.58 (0.79) | 1.32 (0.72) | 4.27 (0.77) | |
| Voltmer, 2010 [83]b | Psychiatrists in Germany | AVEM | 526 | 114 (21.7%) exhibited burnout (type B) pattern | |||
| Maccacaro, 2011 [85]b | Physicians of various specialties in Italy | MBI | 42 | 14.31 (11.98) | 3.62 (4.95) | 38.24 (6.22) | |
| Lucas, 2011 [84]b | Outpatient physicians periodically staffing an academic hospital teaching service in United States | MBI (EE only) | 30 | 24.37 (14.95) | |||
| Shanafelt, 2012 [87]b | General internists in United States | MBI | 447 | 25.4 (14.0) | 7.5 (6.3) | 41.4 (6.0) | |
| Kushnir, 2004 [62] | General practitioners and pediatricians in Israel | MBI (DP only) and SMBM | 309 | 9.15 (3.95) | SMBM mean (SD), 2.73 per item (0.86) | ||
| Vela‐Bueno, 2008 [74]b | General practitioners in Spain | MBI | 240 | 26.91 (11.61) | 9.20 (6.35) | 35.92 (7.92) | |
| Lesic, 2009 [78]b | General practitioners in Serbia | MBI | 38 | 24.71 (10.81) | 7.47 (5.51) | 37.21 (7.44) | |
| Demirci, 2010 [82]b | Medical specialists related to oncology practice in Hungary | MBI | 26 | 23.31 (11.2) | 6.46 (5.7) | 37.7 (8.14) | |
| Putnik, 2011 [86]b | General practitioners in Hungary | MBI | 370 | 22.22 (11.75) | 3.66 (4.40) | 41.40 (6.85) | |
| Lead Author, Publication Year | Study Population and Location | Instrument | No. of Participants | EE Score (SD)a | DP Score (SD) | PA Score (SD) | Other Results |
|---|---|---|---|---|---|---|---|
| |||||||
| Varga, 1996 [88] | Hospital doctors in Spain | MBI | 179 | 21.61b | 7.33b | 35.28b | |
| Aasland, 1997 [54] | Hospital doctors in Norway | Modified MBI (22 items; scale, 15) | 582 | 2.39 (0.80) | 1.81 (0.65) | 3.51 (0.46) | |
| Bargellini, 2000 [89] | Hospital doctors in Italy | MBI | 51 | 17.45 (9.87) | 7.06 (5.54) | 35.33 (7.90) | |
| Grassi, 2000 [58] | Hospital doctors in Italy | MBI | 146 | 16.17 (9.64) | 5.32 (4.76) | 38.71 (7.28) | |
| Hoff, 2001 [33] | Hospitalists in United States | Single‐item surveyc | 393 | 12.9% burned out (>4/5), 24.9% at risk for burnout (34/5), 62.2% at no current risk (mean, 2.86 on 15 scale) | |||
| Trichard, 2005 [90] | Hospital doctors in France | MBI | 199 | 16 (10.7) | 6.6 (5.7) | 38.5 (6.5) | |
| Gandini, 2006 [65]d | Hospital doctors in Argentina | MBI | 290 | 25.0 (12.7) | 7.9 (6.2) | 40.1 (7.0) | |
| Dunwoodie, 2007 [68]d | Palliative care doctors in Australia | MBI | 14 | 18.29 (14.24) | 5.29 (5.89) | 38.86 (3.42) | |
| Srgaard, 2007 [69]d | Psychiatrists in 5 European nations | MBI | 18 | 18.56 (9.32) | 5.50 (3.79) | 39.08 (5.39) | |
| Sosa Oberlin, 2007 [56]d | Hospital doctors in Argentina | Author‐designed instrument | 3 | 3 (100%) had 4 burnout symptoms, 8.67 symptoms per physician | |||
| Voltmer, 2007 [57]d | Hospital doctors in Germany | AVEM | 271 | 77 (28.4%) exhibited burnout (type B) pattern | |||
| dm, 2008 [70]b | Physicians of various specialties in Hungary | MBI | 194 | 19.23 (10.79) | 4.88 (4.61) | 35.26 (8.42) | |
| Di Iorio, 2008 [71]d | Dialysis physicians in Italy | Author‐designed instrument | 62 | Work, mean (SD), 3.1 (1.4); Material, mean (SD), 3.3 (1.5); Climate, mean (SD), 2.9 (1.1); Objectives, mean (SD), 2.5 (1.5); Quality, mean (SD), 3.0 (1.1); Justification, mean (SD), 3.1 (2.1) | |||
| Fuss, 2008 [91]d | Hospital doctors in Germany | Copenhagen Burnout Inventory | 292 | Mean Copenhagen Burnout Inventory, mean (SD), 46.90 (18.45) | |||
| Marner, 2008 [92]d | Psychiatrists and 1 generalist in United States | MBI | 9 | 20.67 (9.75) | 7.78 (5.14) | 35.33 (6.44) | |
| Shehabi, 2008 [93]d | Intensivists in Australia | Modified MBI (6 items; scale, 15) | 86 | 2.85 (0.93) | 2.64 (0.85) | 2.58 (0.83) | |
| Bressi, 2009 [76]d | Psychiatrists in Italy | MBI | 28 | 17.89 (14.46) | 5.32 (7.01) | 34.57 (11.27) | |
| Brown, 2009 [94] | Hospital doctors in Australia | MBI | 12 | 22.25 (8.59) | 6.33 (2.71) | 39.83 (7.31) | |
| Lasalvia, 2009 [55]d | Psychiatrists in Italy | Modified MBI (16 items; scale, 06) | 21 | 1.95 (1.04) | 1.35 (0.85) | 4.46 (1.04) | |
| Peisah, 2009 [79]d | Hospital doctors in Australia | MBI | 62 | 20.09 (9.91) | 6.34 (4.90) | 35.06 (7.33) | |
| Shanafelt, 2009 [80]d | Hospitalists and intensivists in United States | MBI | 19 | 25.2 (11.59) | 4.4 (3.79) | 38.5 (8.04) | |
| Tunc, 2009 [95] | Hospital doctors in Turkey | Modified MBI (22 items; scale, 04) | 62 | 1.18 (0.78) | 0.81 (0.73) | 3.10 (0.59)e | |
| Cocco, 2010 [96]d | Hospital geriatricians in Italy | MBI | 38 | 16.21 (11.56) | 4.53 (4.63) | 39.13 (7.09) | |
| Doppia, 2011 [97]d | Hospital doctors in France | Copenhagen Burnout Inventory | 1,684 | Mean work‐related burnout score, 2.72 (0.75) | |||
| Glasheen, 2011 [98] | Hospitalists in United States | Single‐item survey | 265 | Mean, 2.08 on 15 scale 62 (23.4%) burned out | |||
| Lucas, 2011 [84]d | Academic hospitalists in United States | MBI (EE only) | 26 | 19.54 (12.85) | |||
| Thorsen, 2011 [99] | Hospital doctors in Malawi | MBI | 2 | 25.5 (4.95) | 8.5 (6.36) | 25.0 (5.66) | |
| Hinami, 2012 [50]d | Hospital doctors in United States | Single‐item survey | 793 | Mean, 2.24 on 15 scale 261 (27.2%) burned out | |||
| Quenot, 2012 [100]d | Intensivists in France | MBI | 4 | 33.25 (4.57) | 13.50 (5.45) | 35.25 (4.86) | |
| Ruitenburg, 2012 [101] | Hospital doctors in the Netherlands | MBI (EE and DP only) | 214 | 13.3 (8.0) | 4.5 (4.1) | ||
| Seibt, 2012 [102]d | Hospital doctors in Germany | Modified MBI (16 items; scale, 06, reported per item rather than totals) | 2,154 | 2.2 (1.4) | 1.4 (1.2) | 5.1 (0.9) | |
| Shanafelt, 2012 [87]d | Hospitalists in United States | MBI | 130 | 24.7 (12.5) | 9.1 (6.9) | 39.0 (7.6) | |
Table 3 summarizes the results of the 15 studies that reported burnout data for both inpatient and outpatient physicians, allowing direct comparisons to be made. Nine studies reported MBI subset totals with standard deviations, 2 used different modifications of the MBI, 2 used different author‐derived measures, 1 used only the emotional exhaustion subscale of the MBI, and 1 used the Arbeitsbezogenes Verhaltens und Erlebensmuster. Therefore, statistical comparison was attempted only for the 9 studies reporting comparable MBI data, comprising burnout data on 1390 outpatient physicians and 899 inpatient physicians.
| Lead Author, Publication Year | Location | Instrument | Inpatient‐Based Physicians | Outpatient‐Based Physicians | ||
|---|---|---|---|---|---|---|
| No. | Results, Score (SD)a | No. | Results, Score (SD)a | |||
| ||||||
| Aasland, 1997 [54]b | Norway | Modified MBI (22 items; scale, 15) | 582 | EE, 2.39 (0.80); DP, 1.81 (0.65); PA, 3.51 (0.46) | 298 | EE, 2.65 (0.80); DP, 1.90 (0.59); PA, 3.45 (0.40) |
| Grassi, 2000 [58] | Italy | MBI | 146 | EE, 16.17 (9.64); DP, 5.32 (4.76); PA, 38.71 (7.28) | 182 | EE, 18.49 (11.49); DP, 6.11 (5.86); PA, 38.52 (7.60) |
| Gandini, 2006 [65]b | Argentina | MBI | 290 | EE, 25.0 (12.7);DP, 7.9 (6.2); PA, 40.1 (7.0) | 67 | EE, 31.0 (13.8); DP, 10.2 (6.6); PA, 38.4 (6.8) |
| Dunwoodie, 2007 [68]b | Australia | MBI | 14 | EE, 18.29 (14.24); DP, 5.29 (5.89); PA, 38.86 (3.42) | 21 | EE, 14.95 (9.14); DP, 3.95 (3.40); PA, 38.90 (2.88) |
| Srgaard, 2007 [69]b | 5 European nations | MBI | 18 | EE, 18.56 (9.32); DP, 5.50 (3.79); PA, 39.08 (5.39) | 22 | EE, 19.41 (8.08); DP, 6.68 (4.93); PA, 39.00 (4.40) |
| Sosa Oberlin, 2007 [56]b | Argentina | Author‐designed instrument | 3 | 3 (100%) had 4 burnout symptoms, 8.67 symptoms per physician | 33 | 26 (78.8%) had 4 burnout symptoms, 6.15 symptoms per physician |
| Voltmer, 2007 [57]b | Germany | AVEM | 271 | 77 (28.4%) exhibited burnout (type B) pattern | 46 | 11 (23.9%) exhibited burnout (type B) pattern |
| dm, 2008 [70]b | Hungary | MBI | 194 | EE, 19.23 (10.79); DP, 4.88 (4.61); PA, 35.26 (8.42) | 163 | EE, 17.45 (11.12); DP, 4.86 (4.91); PA, 36.56 (7.03) |
| Di Iorio, 2008 [71]b | Italy | Author‐designed instrument | 62 | Work: 3.1 (1.4); material: 3.3 (1.5); climate: 2.9 (1.1); objectives: 2.5 (1.5); quality: 3.0 (1.1); justification: 3.1 (2.1) | 54 | Work: 2.6 (1.5); material: 3.1 (2.1); climate: 3.0 (1.1); objectives: 3.4 (1.6); quality: 2.2 (1.5); justification: 3.2 (2.0) |
| Bressi, 2009 [76]b | Italy | MBI | 28 | EE, 17.89 (14.46); DP, 5.32 (7.01); PA, 34.57 (11.27) | 53 | EE, 23.15 (11.99); DP, 7.02 (6.29); PA, 36.41 (7.54) |
| Lasalvia, 2009[55]b | Italy | Modified MBI (16 items; scale, 06) | 21 | EE, 1.95 (1.04); DP, 1.35 (0.85); PA, 4.46 (1.04) | 38 | EE, 2.37 (1.27); DP, 1.51 (1.15); PA, 4.46 (0.87) |
| Peisah, 2009 [79]b | Australia | MBI | 62 | EE, 20.09 (9.91); DP, 6.34 (4.90); PA, 35.06 (7.33) | 28 | EE, 13.92 (9.24); DP, 3.66 (3.95); PA, 39.34 (8.55) |
| Shanafelt, 2009 [80]b | United States | MBI | 19 | EE, 25.2 (11.59); DP, 4.4 (3.79); PA, 38.5 (8.04) | 408 | EE, 20.5 (11.10); DP, 4.3 (4.74); PA, 40.8 (6.26) |
| Lucas, 2011 [84]b | United States | MBI (EE only) | 26 | EE, 19.54 (12.85) | 30 | EE, 24.37 (14.95) |
| Shanafelt, 2012 [87]b | United States | MBI | 130 | EE, 24.7 (12.5); DP, 9.1 (6.9); PA, 39.0 (7.6) | 447 | EE, 25.4 (14.0); DP, 7.5 (6.3); PA, 41.4 (6.0) |
Figure 2 shows that no significant difference existed between the groups regarding emotional exhaustion (mean difference, 0.11 points on a 54‐point scale; 95% confidence interval [CI], 2.40 to 2.61; P=0.94). In addition, there was no significant difference between the groups regarding depersonalization (Figure 3; mean difference, 0.00 points on a 30‐point scale; 95% CI, 1.03 to 1.02; P=0.99) and personal accomplishment (Figure 4; mean difference, 0.93 points on a 48‐point scale; 95% CI, 0.23 to 2.09; P=0.11).
We used meta‐regression to allow the incorporation of single‐armed MBI studies. Whether single‐armed studies were analyzed separately (15 outpatient studies comprising 3927 physicians, 4 inpatient studies comprising 300 physicians) or analyzed with double‐armed studies (24 outpatient arms comprising 5318 physicians, 13 inpatient arms comprising 1301 physicians), the lack of a significant difference between the groups persisted for the depersonalization and personal accomplishment scales (Figure 5). Emotional exhaustion was significantly higher in outpatient physicians when single‐armed studies were considered separately (mean difference, 6.36 points; 95% CI, 2.24 to 10.48; P=0.002), and this difference persisted when all studies were combined (mean difference, 3.00 points; 95% CI, 0.05 to 5.94, P=0.046).
Subgroup analysis by geographic location showed US outpatient physicians had a significantly higher personal accomplishment score than US inpatient physicians (mean difference, 2.38 points; 95% CI, 1.22 to 3.55; P0.001) in double‐armed studies. This difference did not persist when single‐armed studies were included through meta‐regression (mean difference, 0.55 points, 95% CI, 4.30 to 5.40, P=0.83).
Table 4 demonstrates that methodological quality was generally good from the standpoint of the reporting and bias subsections of the Downs and Black tool. External validity was scored lower for many studies due to the use of convenience samples and lack of information about physicians who declined to participate.
| Lead Author, Publication Year | Reporting | External Validity | Internal Validity: Bias | Internal Validity: Confounding | Power |
|---|---|---|---|---|---|
| Schweitzer, 1994 [12] | 5 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Varga, 1996 [88] | 5 of 6 points | 1 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Aasland, 1997 [54] | 3 of 6 points | 2 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Bargellini, 2000 [89] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Grassi, 2000 [58] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| McManus, 2000 [59] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Hoff, 2001 [33] | 6 of 6 points | 2 of 2 points | 2 of 4 points | 1 of 1 point | 0 of 1 point |
| Yaman, 2002 [60] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Cathbras, 2004 [61] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Kushnir, 2004 [62] | 5 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Goehring, 2005 [63] | 6 of 6 points | 1 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Trichard, 2005 [90] | 3 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Esteva, 2006 [64] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Gandini, 2006 [65] | 6 of 6 points | 1 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Ozyurt, 2006 [66] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Deighton, 2007 [67] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Dunwoodie, 2007 [68] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Srgaard, 2007 [69] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 1 of 1 point | 1 of 1 point |
| Sosa Oberlin, 2007 [56] | 4 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Voltmer, 2007 [57] | 4 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| dm, 2008 [70] | 5 of 6 points | 2 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Di Iorio, 2008 [71] | 6 of 6 points | 0 of 2 points | 2 of 4 points | 0 of 1 point | 0 of 1 point |
| Fuss, 2008 [91] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Lee, 2008 [49] | 4 of 6 points | 2 of 2 points | 4 of 4 points | 0 of 1 point | 1 of 1 point |
| Marner, 2008 [92] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Shehabi, 2008 [93] | 3 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Truchot, 2008 [72] | 5 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Twellaar, 2008 [73] | 6 of 6 points | 2 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Vela‐Bueno, 2008 [74] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Arigoni, 2009 [17] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Bernhardt, 2009 [75] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Bressi, 2009 [76] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Brown, 2009 [94] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Krasner, 2009 [77] | 9 of 11 points | 0 of 3 points | 6 of 7 points | 1 of 2 points | 1 of 1 point |
| Lasalvia, 2009 [55] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Lesic, 2009 [78] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Peisah, 2009 [79] | 6 of 6 points | 2 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Shanafelt, 2009 [80] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Tunc, 2009 [95] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Zantinge, 2009 [81] | 5 of 6 points | 0 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Cocco, 2010 [96] | 4 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Demirci, 2010 [82] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Voltmer, 2010 [83] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Doppia, 2011 [97] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Glasheen, 2011 [98] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Lucas, 2011 [84] | 10 of 11 points | 2 of 3 points | 7 of 7 points | 5 of 6 points | 1 of 1 point |
| Maccacaro, 2011 [85] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Putnik, 2011 [86] | 6 of 6 points | 1 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Thorsen, 2011 [99] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Hinami, 2012 [50] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 1 of 1 point |
| Quenot, 2012 [100] | 8 of 11 points | 1 of 3 points | 6 of 7 points | 1 of 2 points | 0 of 1 point |
| Ruitenburg, 2012 [101] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Seibt, 2012 [102] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Shanafelt, 2012 [87] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
Funnel plots were used to evaluate for publication bias in the meta‐analysis of the 8 double‐armed studies (Figure 6). We found no significant evidence of bias, which was supported by Begg's test P values of 0.90 for emotional exhaustion, >0.99 for depersonalization, and 0.54 for personal accomplishment. A trim‐and‐fill analysis determined that no adjustment was necessary.
DISCUSSION
There appears to be no support for the long‐held belief that inpatient physicians are particularly prone to burnout. Among studies for which practice location was stated explicitly or could be obtained from the authors, and who used the MBI, no differences were found among inpatient and outpatient physicians with regard to depersonalization or personal accomplishment. This finding persisted whether double‐armed studies were compared directly, single‐armed studies were incorporated into this analysis, or single‐armed studies were analyzed separately. Outpatient physicians had a higher degree of emotional exhaustion when all studies were considered.
There are several reasons why outpatient physicians may be more prone to emotional exhaustion than their inpatient colleagues. Although it is by no means true that all inpatient physicians work in shifts, the increased availability of shift work may allow some inpatient physicians to better balance their professional and personal lives, a factor of work with which some outpatient physicians have struggled.[47] Inpatient practice may also afford more opportunity for teamwork, a factor that has been shown to correlate with reduced burnout.[48] When surveyed about burnout, outpatient physicians have cited patient volumes, paperwork, medicolegal concerns, and lack of community support as factors.[49] Inpatient physicians are not immune to these forces, but they arguably experience them to different degrees.
The absence of a higher rate of depersonalization among inpatient physicians is particularly reassuring in light of concerns expressed with the advent of US hospital medicinethat some hospitalists would be prone to viewing patients as an impediment to the efficient running of the hospital,[2] the very definition of depersonalization.
Although the difference in the whole sample was not statistically significant, the consistent tendency toward a greater sense of personal accomplishment among outpatient physicians is also noteworthy, particularly because post hoc subgroup analysis of US physicians did show statistical significance in both 2‐armed studies. Without detailed age data for the physicians in each study, we could not separate the possible impact of age on personal accomplishment; hospital medicine is a newer specialty staffed by generally younger physicians, and hospitalists may not have had time to develop a sense of accomplishment. When surveyed about job satisfaction, hospitalists have also reported the feeling that they were treated as glorified residents,[50] a factor that, if shared by other inpatient physicians, must surely affect their sense of personal accomplishment. The lack of longitudinal care for patients and the substantial provision of end‐of‐life care also may diminish the sense of personal accomplishment among inpatient physicians.
Another important finding from this systematic review is the marked heterogeneity of the instruments used to measure physician burnout. Many of the identified studies could not be subjected to meta‐analysis because of their use of differing burnout measures. Drawing more substantial conclusions about burnout and practice location is limited by the fact that, although the majority of studies used the full MBI, the largest study of European hospital doctors used the Copenhagen Burnout Inventory, and the studies thus far of US hospitalists have used single‐item surveys or portions of the MBI. Not reflected in this review is the fact that a large study of US burnout and job satisfaction[51] did not formally address practice location (M. Linzer, personal communication, August 2012). Similarly, a large study of British hospital doctors[52] is not included herein because many of the physicians involved had substantial outpatient duties (C. Taylor, personal communication, July 2012). Varying burnout measures have complicated a previous systematic review of burnout in oncologists.[53] Two studies that directly compared inpatient and outpatient physicians but that were excluded from our statistical analysis because of their modified versions of the MBI,[54, 55] showed higher burnout scores in outpatient physicians. Two other studies that provided direct inpatient versus outpatient comparisons but that used alternative burnout measures[56, 57] showed a greater frequency of burnout in inpatient physicians, but of these, 1 study[56] involved only 3 inpatient physicians.
Several limitations of our study should be considered. Although we endeavored to obtain information from authors (with some success) about specific local practice patterns and eliminated many studies because of incomplete data or mixed practice patterns (eg, general practitioners who take frequent hospital calls, hospital physicians with extensive outpatient duties in a clinic attached to their hospital), it remains likely that many physicians identified as outpatient provided some inpatient care (attending a few weeks per year on a teaching service, for example) and that some physicians identified as inpatient have minimal outpatient duties.
More importantly, the dataset analyzed is heterogeneous. Studies of the incidence of burnout are naturally observational and therefore not randomized. Inclusion of international studies is necessary to answer the research question (because published data on US hospitalists are sparse) but naturally introduces differences in practice settings, local factors, and other factors for which we cannot possibly account fully.
Our meta‐analysis therefore addressed a broad question about burnout among inpatient and outpatient physicians in various diverse settings. Applying it to any 1 population (including US hospitalists) is, by necessity, imprecise.
Post hoc analysis should be viewed with caution. For example, the finding of a statistical difference between US inpatient and outpatient physicians with regard to personal accomplishment score is compelling from the standpoint of hypothesis generation. However, it is worth bearing in mind that this analysis contained only 2 studies, both by the same primary author, and compared 855 outpatient physicians to only 149 hospitalists. This difference was no longer significant when 2 outpatient studies were added through meta‐regression.
Finally, the specific focus of this study on practice location precluded comparison with emergency physicians and anesthesiologists, 2 specialist types that have been the subject of particularly robust burnout literature. As the literature on hospitalist burnout becomes more extensive, comparative studies with these groups and with intensivists might prove instructive.
In summary, analysis of 24 studies comprising data on 5318 outpatient physicians and 1301 inpatient physicians provides no support for the commonly held belief that hospital‐based physicians are particularly prone to burnout. Outpatient physicians reported higher emotional exhaustion. Further studies of the incidence and severity of burnout according to practice location are indicated. We propose that in future studies, to avoid the difficulties with statistical analysis summarized herein, investigators ask about and explicitly report practice location (inpatient vs outpatient vs both) and report mean MBI subset data and standard deviations. Such information about US hospitalists would allow comparison with a robust (if heterogeneous) international literature on burnout.
Acknowledgments
The authors gratefully acknowledge all of the study authors who contributed clarification and guidance for this project, particularly the following authors who provided unpublished data for further analysis: Olaf Aasland, MD; Szilvia dm, PhD; Annalisa Bargellini, PhD; Cinzia Bressi, MD, PhD; Darrell Campbell Jr, MD; Ennio Cocco, MD; Russell Deighton, PhD; Senem Demirci Alanyali, MD; Biagio Di Iorio, MD, PhD; David Dunwoodie, MBBS; Sharon Einav, MD; Madeleine Estryn‐Behar, PhD; Bernardo Gandini, MD; Keiki Hinami, MD; Antonio Lasalvia, MD, PhD; Joseph Lee, MD; Guido Maccacaro, MD; Swati Marner, EdD; Chris McManus, MD, PhD; Carmelle Peisah, MBBS, MD; Katarina Putnik, MSc; Alfredo Rodrguez‐Muoz, PhD; Yahya Shehabi, MD; Evelyn Sosa Oberlin, MD; Jean Karl Soler, MD, MSc; Knut Srgaard, PhD; Cath Taylor; Viva Thorsen, MPH; Mascha Twellaar, MD; Edgar Voltmer, MD; Colin West, MD, PhD; and Deborah Whippen. The authors also thank the following colleagues for their help with translation: Dusanka Anastasijevic (Norwegian); Joyce Cheung‐Flynn, PhD (simplified Chinese); Ales Hlubocky, MD (Czech); Lena Jungheim, RN (Swedish); Erez Kessler (Hebrew); Kanae Mukai, MD (Japanese); Eliane Purchase (French); Aaron Shmookler, MD (Russian); Jan Stepanek, MD (German); Fernando Tondato, MD (Portuguese); Laszlo Vaszar, MD (Hungarian); and Joseph Verheidje, PhD (Dutch). Finally, the authors thank Cynthia Heltne and Diana Rogers for their expert and tireless library assistance, Bonnie Schimek for her help with figures, and Cindy Laureano and Elizabeth Jones for their help with author contact.
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Hospital medicine is a rapidly growing field of US clinical practice.[1] Almost since its advent, concerns have been expressed about the potential for hospitalists to burn out.[2] Hospitalists are not unique in this; similar concerns heralded the arrival of other location‐defined specialties, including emergency medicine[3] and the full‐time intensivist model,[4] a fact that has not gone unnoted in the literature about hospitalists.[5]
The existing international literature on physician burnout provides good reason for this concern. Inpatient‐based physicians tend to work unpredictable schedules, with substantial impact on home life.[6] They tend to be young, and much burnout literature suggests a higher risk among younger, less‐experienced physicians.[7] When surveyed, hospitalists have expressed more concerns about their potential for burnout than their outpatient‐based colleagues.[8]
In fact, data suggesting a correlation between inpatient practice and burnout predate the advent of the US hospitalist movement. Increased hospital time was reported to correlate with higher rates of burnout in internists,[9] family practitioners,[10] palliative physicians,[11] junior doctors,[12] radiologists,[13] and cystic fibrosis caregivers.[14] In 1987, Keinan and Melamed[15] noted, Hospital work by its very nature, as compared to the work of a general practitioner, deals with the more severe and complicated illnesses, coupled with continuous daily contacts with patients and their anxious families. In addition, these physicians may find themselves embroiled in the power struggles and competition so common in their work environment.
There are other features, however, that may protect inpatient physicians from burnout. Hospital practice can facilitate favorable social relations involving colleagues, co‐workers, and patients,[16] a factor that may be protective.[17] A hospitalist schedule also can allow more focused time for continuing medical education, research, and teaching,[18] which have all been associated with reduced risk of burnout in some studies.[17] Studies of psychiatrists[19] and pediatricians[20] have shown a lower rate of burnout among physicians with more inpatient duties. Finally, a practice model involving a seemingly stable cadre of inpatient physicians has existed in Europe for decades,[2] indicating at least a degree of sustainability.
Information suggesting a higher rate of burnout among inpatient physicians could be used to target therapeutic interventions and to adjust schedules, whereas the opposite outcome could refute a pervasive myth. We therefore endeavored to summarize the literature on burnout among inpatient versus outpatient physicians in a systematic fashion, and to include data not only from the US hospitalist experience but also from other countries that have used a similar model for decades. Our primary hypothesis was that inpatient physicians experience more burnout than outpatient physicians.
It is important to distinguish burnout from depression, job dissatisfaction, and occupational stress, all of which have been studied extensively in physicians. Burnout, as introduced by Freudenberger[21] and further characterized by Maslach,[22] is a condition in which emotional exhaustion, depersonalization, and a low sense of personal accomplishment combine to negatively affect work life (as opposed to clinical depression, which affects all aspects of life). Job satisfaction can correlate inversely with burnout, but it is a separate process[23] and the subject of a recent systematic review.[24] The importance of distinguishing burnout from job dissatisfaction is illustrated by a survey of head and neck surgeons, in which 97% of those surveyed indicated satisfaction with their jobs and 34% of the same group answered in the affirmative when asked if they felt burned out.[25]
One obstacle to the meaningful comparison of burnout prevalence across time, geography, and specialty is the myriad ways in which burnout is measured and reported. The oldest and most commonly used instrument to measure burnout is the Maslach Burnout Inventory (MBI), which contains 22 items assessing 3 components of burnout (emotional exhaustion, depersonalization, and low personal accomplishment).[26] Other measures include the Copenhagen Burnout Inventory[27] (19 items with the components personal burnout, work‐related burnout, and client‐related burnout), Utrecht Burnout Inventory[28] (20‐item modification of the MBI), Boudreau Burnout Questionnaire[29] (30 items), Arbeitsbezogenes Verhaltens und Erlebensmuster[30] (66‐item questionnaire assessing professional commitment, resistance to stress, and emotional well‐being), Shirom‐Melamed Burnout Measure[31] (22 items with subscales for physical fatigue, cognitive weariness, tension, and listlessness), and a validated single‐item questionnaire.[32]
METHODS
Electronic searches of MEDLINE, EMBASE, PsycINFO, SCOPUS, and PubMed were undertaken for articles published from January 1, 1974 (the year in which burnout was first described by Freudenberger[21]) to 2012 (last accessed, September 12, 2012) using the Medical Subject Headings (MeSH) terms stress, psychological; burnout, professional; adaptation, psychological; and the keyword burnout. The same sources were searched to create another set for the MeSH terms hospitalists, physician's practice patterns, physicians/px, professional practice location, and the keyword hospitalist#. Where exact subject headings did not exist in databases, comparable subject headings or keywords were used. The 2 sets were then combined using the operator and. Abstracts from the Society of Hospital Medicine annual conferences were hand‐searched, as were reference lists from identified articles. To ensure that pertinent international literature was captured, there was no language restriction in the search.
A 2‐stage screening process was used. The titles and abstracts of all articles identified in the search were independently reviewed by 2 investigators (D.L.R. and K.J.C.) who had no knowledge of each other's results. An article was obtained when either reviewer deemed it worthy of full‐text review.
All full‐text articles were independently reviewed by the same 2 investigators. The inclusion criterion was the measurement of burnout in physicians who are stated to or can be reasonably assumed to spend the substantial majority of their clinical practice exclusively in either the inpatient or the outpatient setting. Studies of emergency department physicians or specialists who invariably spend substantial amounts of time in both settings (eg, surgeons, anesthesiologists) were excluded. Studies limited to trainees or nonphysicians were also excluded. For both stages of review, agreement between the 2 investigators was assessed by calculating the statistic. Disagreements about inclusion were adjudicated by a third investigator (A.I.B.).
Because our goal was to establish and compare the rate of burnout among US hospitalists and other inpatient physicians around the world, we included studies of hospitalists according to the definition in use at the time of the individual study, noting that the formal definition of a hospitalist has changed over the years.[33] Because practice patterns for physicians described as primary care physicians, family doctors, hospital doctors, and others differ substantially from country to country, we otherwise included only the studies where the practice location was stated explicitly or where the authors confirmed that their study participants either are known or can be reasonably assumed to spend more than 75% of their time caring for hospital inpatients, or are known or can be reasonably assumed to spend the vast majority of their time caring for outpatients.
Data were abstracted using a standardized form and included the measure of burnout used in the study, results, practice location of study subjects, and total number of study subjects. When data were not clear (eg, burnout measured but not reported by the authors, practice location of study subjects not clear), authors were contacted by email, or when no current email address could be located or no response was received, by telephone or letter. In instances where burnout was measured repeatedly over time or before and after a specific intervention, only the baseline measurement was recorded. Because all studies were expected to be nonrandomized, methodological quality was assessed using a version of the tool of Downs and Black,[34] adapted where necessary by omitting questions not applicable to the specific study type (eg randomization for survey studies)[35] and giving a maximum of 1 point for the inclusion of a power calculation.
Two a priori analyses were planned: (1) a statistical comparison of articles directly comparing burnout among inpatient and outpatient physicians, and (2) a statistical comparison of articles measuring burnout among inpatient physicians with articles measuring burnout among outpatient physicians by the most frequently reported measuremean subset scores for emotional exhaustion, depersonalization, and personal accomplishment on the MBI.
The primary outcome measures were the differences between mean subset scores for emotional exhaustion, depersonalization, and personal accomplishment on the MBI. All differences are expressed as (outpatient meaninpatient mean). The variance of each outcome was calculated with standard formulas.[36] To calculate the overall estimate, each study was weighted by the reciprocal of its variance. Studies with fewer than 10 subjects were excluded from statistical analysis but retained in the systematic review.
For studies that reported data for both inpatient and outpatient physicians (double‐armed studies), Cochran Q test and the I2 value were used to assess heterogeneity.[37, 38] Substantial heterogeneity was expected because these individual studies were conducted for different populations in different settings with different study designs, and this expectation was confirmed statistically. Therefore, we used a random effects model to estimate the overall effect, providing a conservative approach that accounted for heterogeneity among studies.[39]
To assess the durability of our findings, we performed separate multivariate meta‐regression analyses by including single‐armed studies only and including both single‐armed and double‐armed studies. For these meta‐regressions, means were again weighted by the reciprocal of their variances, and the arms of 2‐armed studies were considered separately. This approach allowed us to generate an estimate of the differences between MBI subset scores from studies that did not include such an estimate when analyzed separately.[40]
We examined the potential for publication bias in double‐armed studies by constructing a funnel plot, in which mean scores were plotted against their standard errors.[41] The trim‐and‐fill method was used to determine whether adjustment for publication bias was necessary. In addition, Begg's rank correlation test[42] was completed to test for statistically significant publication bias.
Stata 10.0 statistical software (StataCorp, College Station, TX) was used for data analyses. A P value of 0.05 or less was deemed statistically significant. The Preferred Reporting Items for Systematic Reviews and Meta‐analysis checklist was used for the design and execution of the systematic review and meta‐analysis.[43]
Subgroup analyses based on location were undertaken a posteriori. All data (double‐armed meta‐analysis, meta‐regression of single‐armed studies, and meta‐regression of single‐ and double‐armed studies) were analyzed by location (United States vs other; United States vs Europe vs other).
RESULTS
The search results are outlined in Figure 1. In total, 1704 articles met the criteria for full‐text review. A review of pertinent reference lists and author contacts led to the addition of 149 articles. Twenty‐nine references could not be located by any means, despite repeated attempts. Therefore, 1824 articles were subjected to full‐text review by the 2 investigators.
Initially, 57 articles were found that met criteria for inclusion. Of these, 2 articles reported data in formats that could not be interpreted.[44, 45] When efforts to clarify the data with the authors were unsuccessful, these studies were excluded. A study specifically designed to assess the response of physicians to a recent series of terrorist attacks[46] was excluded a posteriori because of lack of generalizability. Of the other 54 studies, 15 reported burnout data on both outpatient physicians and inpatient physicians, 22 reported data on outpatient physicians only, and 17 reported data on inpatient physicians only. Table 1 summarizes the results of the 37 studies involving outpatient physicians; Table 2 summarizes the 32 studies involving inpatient physicians.
| Lead Author, Publication Year | Study Population and Location | Instrument | No. of Participants | EE Score (SD)a | DP Score (SD) | PA Score (SD) | Other Results |
|---|---|---|---|---|---|---|---|
| |||||||
| Schweitzer, 1994[12] | Young physicians of various specialties in South Africa | Single‐item survey | 7 | 6 (83%) endorsed burnout | |||
| Aasland, 1997 [54]b | General practitioners in Norway | Modified MBI (22 items; scale, 15) | 298 | 2.65 (0.80) | 1.90 (0.59) | 3.45 (0.40) | |
| Grassi, 2000 [58] | General practitioners in Italy | MBI | 182 | 18.49 (11.49) | 6.11 (5.86) | 38.52 (7.60) | |
| McManus, 2000 [59]b | General practitioners in United Kingdom | Modified MBI (9 items; scale, 06) | 800 | 8.34 (4.39) | 3.18 (3.40) | 14.16 (2.95) | |
| Yaman, 2002 [60] | General practitioners in 8 European nations | MBI | 98 | 25.1 (8.50) | 7.3 (4.92) | 34.5 (7.67) | |
| Cathbras, 2004 [61] | General practitioners in France | MBI | 306 | 21.85 (12.4) | 9.13 (6.7) | 38.7 (7.1) | |
| Goehring, 2005 [63] | General practitioners, general internists, pediatricians in Switzerland | MBI | 1755 | 17.9 (9.8) | 6.5 (4.7) | 39.6 (6.5) | |
| Esteva, 2006 [64] | General practitioners, pediatricians in Spain | MBI | 261 | 27.4 (11.8) | 10.07 (6.4) | 35.9 (7.06) | |
| Gandini, 2006 [65]b | Physicians of various specialties in Argentina | MBI | 67 | 31.0 (13.8) | 10.2 (6.6) | 38.4 (6.8) | |
| Ozyurt, 2006 [66] | General practitioners in Turkey | Modified MBI (22 items; scale, 04) | 55 | 15.23 (5.80) | 4.47 (3.31) | 23.38 (4.29) | |
| Deighton, 2007 [67]b | Psychiatrists in several German‐speaking nations | MBI | 19 | 30.68 (9.92) | 13.42 (4.23) | 37.16 (3.39) | |
| Dunwoodie, 2007 [68]b | Palliative care physicians in Australia | MBI | 21 | 14.95 (9.14) | 3.95 (3.40) | 38.90 (2.88) | |
| Srgaard, 2007 [69]b | Psychiatrists in 5 European nations | MBI | 22 | 19.41 (8.08) | 6.68 (4.93) | 39.00 (4.40) | |
| Sosa Oberlin, 2007 [56]b | Physicians of various specialties in Argentina | Author‐designed instrument | 33 | 26 (78.8%) had 4 burnout symptoms, 6.15 symptoms per physician | |||
| Voltmer, 2007 [57]b | Physicians of various specialties in Germany | AVEM | 46 | 11 (23.9%) exhibited burnout (type B) pattern | |||
| dm, 2008 [70]b | Physicians of various specialties in Hungary | MBI | 163 | 17.45 (11.12) | 4.86 (4.91) | 36.56 (7.03) | |
| Di Iorio, 2008 [71]b | Dialysis physicians in Italy | Author‐designed instrument | 54 | Work: 2.6 (1.5), Material: 3.1 (2.1), Climate: 3.0 (1.1), Objectives: 3.4 (1.6), Quality: 2.2 (1.5), Justification: 3.2 (2.0) | |||
| Lee, 2008 [49]b | Family physicians in Canada | MBI | 123 | 26.26 (9.53) | 10.20 (5.22) | 38.43 (7.34) | |
| Truchot, 2008 [72] | General practitioners in France | MBI | 259 | 25.4 (11.7) | 7.5 (5.5) | 36.5 (7.1) | |
| Twellaar, 2008 [73]b | General practitioners in the Netherlands | Utrecht Burnout Inventory | 349 | 2.06 (1.11) | 1.71 (1.05) | 5.08 (0.77) | |
| Arigoni, 2009 [17] | General practitioners, pediatricians in Switzerland | MBI | 258 | 22.8 (12.0) | 6.9 (6.1) | 39.0 (7.2) | |
| Bernhardt, 2009 [75] | Clinical geneticists in United States | MBI | 72 | 25.8 (10.01)c | 10.9 (4.16)c | 34.8 (5.43)c | |
| Bressi, 2009 [76]b | Psychiatrists in Italy | MBI | 53 | 23.15 (11.99) | 7.02 (6.29) | 36.41 (7.54) | |
| Krasner, 2009 [77] | General practitioners in United States | MBI | 60 | 26.8 (10.9)d | 8.4 (5.1)d | 40.2 (5.3)d | |
| Lasalvia, 2009 [55]b | Psychiatrists in Italy | Modified MBI (16 items; scale, 06) | 38 | 2.37 (1.27) | 1.51 (1.15) | 4.46 (0.87) | |
| Peisah, 2009 [79]b | Physicians of various specialties in Australia | MBI | 28 | 13.92 (9.24) | 3.66 (3.95) | 39.34 (8.55) | |
| Shanafelt, 2009 [80]b | Physicians of various specialties in United States | MBI | 408 | 20.5 (11.10) | 4.3 (4.74) | 40.8 (6.26) | |
| Zantinge, 2009 [81] | General practitioners in the Netherlands | Utrecht Burnout Inventory | 126 | 1.58 (0.79) | 1.32 (0.72) | 4.27 (0.77) | |
| Voltmer, 2010 [83]b | Psychiatrists in Germany | AVEM | 526 | 114 (21.7%) exhibited burnout (type B) pattern | |||
| Maccacaro, 2011 [85]b | Physicians of various specialties in Italy | MBI | 42 | 14.31 (11.98) | 3.62 (4.95) | 38.24 (6.22) | |
| Lucas, 2011 [84]b | Outpatient physicians periodically staffing an academic hospital teaching service in United States | MBI (EE only) | 30 | 24.37 (14.95) | |||
| Shanafelt, 2012 [87]b | General internists in United States | MBI | 447 | 25.4 (14.0) | 7.5 (6.3) | 41.4 (6.0) | |
| Kushnir, 2004 [62] | General practitioners and pediatricians in Israel | MBI (DP only) and SMBM | 309 | 9.15 (3.95) | SMBM mean (SD), 2.73 per item (0.86) | ||
| Vela‐Bueno, 2008 [74]b | General practitioners in Spain | MBI | 240 | 26.91 (11.61) | 9.20 (6.35) | 35.92 (7.92) | |
| Lesic, 2009 [78]b | General practitioners in Serbia | MBI | 38 | 24.71 (10.81) | 7.47 (5.51) | 37.21 (7.44) | |
| Demirci, 2010 [82]b | Medical specialists related to oncology practice in Hungary | MBI | 26 | 23.31 (11.2) | 6.46 (5.7) | 37.7 (8.14) | |
| Putnik, 2011 [86]b | General practitioners in Hungary | MBI | 370 | 22.22 (11.75) | 3.66 (4.40) | 41.40 (6.85) | |
| Lead Author, Publication Year | Study Population and Location | Instrument | No. of Participants | EE Score (SD)a | DP Score (SD) | PA Score (SD) | Other Results |
|---|---|---|---|---|---|---|---|
| |||||||
| Varga, 1996 [88] | Hospital doctors in Spain | MBI | 179 | 21.61b | 7.33b | 35.28b | |
| Aasland, 1997 [54] | Hospital doctors in Norway | Modified MBI (22 items; scale, 15) | 582 | 2.39 (0.80) | 1.81 (0.65) | 3.51 (0.46) | |
| Bargellini, 2000 [89] | Hospital doctors in Italy | MBI | 51 | 17.45 (9.87) | 7.06 (5.54) | 35.33 (7.90) | |
| Grassi, 2000 [58] | Hospital doctors in Italy | MBI | 146 | 16.17 (9.64) | 5.32 (4.76) | 38.71 (7.28) | |
| Hoff, 2001 [33] | Hospitalists in United States | Single‐item surveyc | 393 | 12.9% burned out (>4/5), 24.9% at risk for burnout (34/5), 62.2% at no current risk (mean, 2.86 on 15 scale) | |||
| Trichard, 2005 [90] | Hospital doctors in France | MBI | 199 | 16 (10.7) | 6.6 (5.7) | 38.5 (6.5) | |
| Gandini, 2006 [65]d | Hospital doctors in Argentina | MBI | 290 | 25.0 (12.7) | 7.9 (6.2) | 40.1 (7.0) | |
| Dunwoodie, 2007 [68]d | Palliative care doctors in Australia | MBI | 14 | 18.29 (14.24) | 5.29 (5.89) | 38.86 (3.42) | |
| Srgaard, 2007 [69]d | Psychiatrists in 5 European nations | MBI | 18 | 18.56 (9.32) | 5.50 (3.79) | 39.08 (5.39) | |
| Sosa Oberlin, 2007 [56]d | Hospital doctors in Argentina | Author‐designed instrument | 3 | 3 (100%) had 4 burnout symptoms, 8.67 symptoms per physician | |||
| Voltmer, 2007 [57]d | Hospital doctors in Germany | AVEM | 271 | 77 (28.4%) exhibited burnout (type B) pattern | |||
| dm, 2008 [70]b | Physicians of various specialties in Hungary | MBI | 194 | 19.23 (10.79) | 4.88 (4.61) | 35.26 (8.42) | |
| Di Iorio, 2008 [71]d | Dialysis physicians in Italy | Author‐designed instrument | 62 | Work, mean (SD), 3.1 (1.4); Material, mean (SD), 3.3 (1.5); Climate, mean (SD), 2.9 (1.1); Objectives, mean (SD), 2.5 (1.5); Quality, mean (SD), 3.0 (1.1); Justification, mean (SD), 3.1 (2.1) | |||
| Fuss, 2008 [91]d | Hospital doctors in Germany | Copenhagen Burnout Inventory | 292 | Mean Copenhagen Burnout Inventory, mean (SD), 46.90 (18.45) | |||
| Marner, 2008 [92]d | Psychiatrists and 1 generalist in United States | MBI | 9 | 20.67 (9.75) | 7.78 (5.14) | 35.33 (6.44) | |
| Shehabi, 2008 [93]d | Intensivists in Australia | Modified MBI (6 items; scale, 15) | 86 | 2.85 (0.93) | 2.64 (0.85) | 2.58 (0.83) | |
| Bressi, 2009 [76]d | Psychiatrists in Italy | MBI | 28 | 17.89 (14.46) | 5.32 (7.01) | 34.57 (11.27) | |
| Brown, 2009 [94] | Hospital doctors in Australia | MBI | 12 | 22.25 (8.59) | 6.33 (2.71) | 39.83 (7.31) | |
| Lasalvia, 2009 [55]d | Psychiatrists in Italy | Modified MBI (16 items; scale, 06) | 21 | 1.95 (1.04) | 1.35 (0.85) | 4.46 (1.04) | |
| Peisah, 2009 [79]d | Hospital doctors in Australia | MBI | 62 | 20.09 (9.91) | 6.34 (4.90) | 35.06 (7.33) | |
| Shanafelt, 2009 [80]d | Hospitalists and intensivists in United States | MBI | 19 | 25.2 (11.59) | 4.4 (3.79) | 38.5 (8.04) | |
| Tunc, 2009 [95] | Hospital doctors in Turkey | Modified MBI (22 items; scale, 04) | 62 | 1.18 (0.78) | 0.81 (0.73) | 3.10 (0.59)e | |
| Cocco, 2010 [96]d | Hospital geriatricians in Italy | MBI | 38 | 16.21 (11.56) | 4.53 (4.63) | 39.13 (7.09) | |
| Doppia, 2011 [97]d | Hospital doctors in France | Copenhagen Burnout Inventory | 1,684 | Mean work‐related burnout score, 2.72 (0.75) | |||
| Glasheen, 2011 [98] | Hospitalists in United States | Single‐item survey | 265 | Mean, 2.08 on 15 scale 62 (23.4%) burned out | |||
| Lucas, 2011 [84]d | Academic hospitalists in United States | MBI (EE only) | 26 | 19.54 (12.85) | |||
| Thorsen, 2011 [99] | Hospital doctors in Malawi | MBI | 2 | 25.5 (4.95) | 8.5 (6.36) | 25.0 (5.66) | |
| Hinami, 2012 [50]d | Hospital doctors in United States | Single‐item survey | 793 | Mean, 2.24 on 15 scale 261 (27.2%) burned out | |||
| Quenot, 2012 [100]d | Intensivists in France | MBI | 4 | 33.25 (4.57) | 13.50 (5.45) | 35.25 (4.86) | |
| Ruitenburg, 2012 [101] | Hospital doctors in the Netherlands | MBI (EE and DP only) | 214 | 13.3 (8.0) | 4.5 (4.1) | ||
| Seibt, 2012 [102]d | Hospital doctors in Germany | Modified MBI (16 items; scale, 06, reported per item rather than totals) | 2,154 | 2.2 (1.4) | 1.4 (1.2) | 5.1 (0.9) | |
| Shanafelt, 2012 [87]d | Hospitalists in United States | MBI | 130 | 24.7 (12.5) | 9.1 (6.9) | 39.0 (7.6) | |
Table 3 summarizes the results of the 15 studies that reported burnout data for both inpatient and outpatient physicians, allowing direct comparisons to be made. Nine studies reported MBI subset totals with standard deviations, 2 used different modifications of the MBI, 2 used different author‐derived measures, 1 used only the emotional exhaustion subscale of the MBI, and 1 used the Arbeitsbezogenes Verhaltens und Erlebensmuster. Therefore, statistical comparison was attempted only for the 9 studies reporting comparable MBI data, comprising burnout data on 1390 outpatient physicians and 899 inpatient physicians.
| Lead Author, Publication Year | Location | Instrument | Inpatient‐Based Physicians | Outpatient‐Based Physicians | ||
|---|---|---|---|---|---|---|
| No. | Results, Score (SD)a | No. | Results, Score (SD)a | |||
| ||||||
| Aasland, 1997 [54]b | Norway | Modified MBI (22 items; scale, 15) | 582 | EE, 2.39 (0.80); DP, 1.81 (0.65); PA, 3.51 (0.46) | 298 | EE, 2.65 (0.80); DP, 1.90 (0.59); PA, 3.45 (0.40) |
| Grassi, 2000 [58] | Italy | MBI | 146 | EE, 16.17 (9.64); DP, 5.32 (4.76); PA, 38.71 (7.28) | 182 | EE, 18.49 (11.49); DP, 6.11 (5.86); PA, 38.52 (7.60) |
| Gandini, 2006 [65]b | Argentina | MBI | 290 | EE, 25.0 (12.7);DP, 7.9 (6.2); PA, 40.1 (7.0) | 67 | EE, 31.0 (13.8); DP, 10.2 (6.6); PA, 38.4 (6.8) |
| Dunwoodie, 2007 [68]b | Australia | MBI | 14 | EE, 18.29 (14.24); DP, 5.29 (5.89); PA, 38.86 (3.42) | 21 | EE, 14.95 (9.14); DP, 3.95 (3.40); PA, 38.90 (2.88) |
| Srgaard, 2007 [69]b | 5 European nations | MBI | 18 | EE, 18.56 (9.32); DP, 5.50 (3.79); PA, 39.08 (5.39) | 22 | EE, 19.41 (8.08); DP, 6.68 (4.93); PA, 39.00 (4.40) |
| Sosa Oberlin, 2007 [56]b | Argentina | Author‐designed instrument | 3 | 3 (100%) had 4 burnout symptoms, 8.67 symptoms per physician | 33 | 26 (78.8%) had 4 burnout symptoms, 6.15 symptoms per physician |
| Voltmer, 2007 [57]b | Germany | AVEM | 271 | 77 (28.4%) exhibited burnout (type B) pattern | 46 | 11 (23.9%) exhibited burnout (type B) pattern |
| dm, 2008 [70]b | Hungary | MBI | 194 | EE, 19.23 (10.79); DP, 4.88 (4.61); PA, 35.26 (8.42) | 163 | EE, 17.45 (11.12); DP, 4.86 (4.91); PA, 36.56 (7.03) |
| Di Iorio, 2008 [71]b | Italy | Author‐designed instrument | 62 | Work: 3.1 (1.4); material: 3.3 (1.5); climate: 2.9 (1.1); objectives: 2.5 (1.5); quality: 3.0 (1.1); justification: 3.1 (2.1) | 54 | Work: 2.6 (1.5); material: 3.1 (2.1); climate: 3.0 (1.1); objectives: 3.4 (1.6); quality: 2.2 (1.5); justification: 3.2 (2.0) |
| Bressi, 2009 [76]b | Italy | MBI | 28 | EE, 17.89 (14.46); DP, 5.32 (7.01); PA, 34.57 (11.27) | 53 | EE, 23.15 (11.99); DP, 7.02 (6.29); PA, 36.41 (7.54) |
| Lasalvia, 2009[55]b | Italy | Modified MBI (16 items; scale, 06) | 21 | EE, 1.95 (1.04); DP, 1.35 (0.85); PA, 4.46 (1.04) | 38 | EE, 2.37 (1.27); DP, 1.51 (1.15); PA, 4.46 (0.87) |
| Peisah, 2009 [79]b | Australia | MBI | 62 | EE, 20.09 (9.91); DP, 6.34 (4.90); PA, 35.06 (7.33) | 28 | EE, 13.92 (9.24); DP, 3.66 (3.95); PA, 39.34 (8.55) |
| Shanafelt, 2009 [80]b | United States | MBI | 19 | EE, 25.2 (11.59); DP, 4.4 (3.79); PA, 38.5 (8.04) | 408 | EE, 20.5 (11.10); DP, 4.3 (4.74); PA, 40.8 (6.26) |
| Lucas, 2011 [84]b | United States | MBI (EE only) | 26 | EE, 19.54 (12.85) | 30 | EE, 24.37 (14.95) |
| Shanafelt, 2012 [87]b | United States | MBI | 130 | EE, 24.7 (12.5); DP, 9.1 (6.9); PA, 39.0 (7.6) | 447 | EE, 25.4 (14.0); DP, 7.5 (6.3); PA, 41.4 (6.0) |
Figure 2 shows that no significant difference existed between the groups regarding emotional exhaustion (mean difference, 0.11 points on a 54‐point scale; 95% confidence interval [CI], 2.40 to 2.61; P=0.94). In addition, there was no significant difference between the groups regarding depersonalization (Figure 3; mean difference, 0.00 points on a 30‐point scale; 95% CI, 1.03 to 1.02; P=0.99) and personal accomplishment (Figure 4; mean difference, 0.93 points on a 48‐point scale; 95% CI, 0.23 to 2.09; P=0.11).
We used meta‐regression to allow the incorporation of single‐armed MBI studies. Whether single‐armed studies were analyzed separately (15 outpatient studies comprising 3927 physicians, 4 inpatient studies comprising 300 physicians) or analyzed with double‐armed studies (24 outpatient arms comprising 5318 physicians, 13 inpatient arms comprising 1301 physicians), the lack of a significant difference between the groups persisted for the depersonalization and personal accomplishment scales (Figure 5). Emotional exhaustion was significantly higher in outpatient physicians when single‐armed studies were considered separately (mean difference, 6.36 points; 95% CI, 2.24 to 10.48; P=0.002), and this difference persisted when all studies were combined (mean difference, 3.00 points; 95% CI, 0.05 to 5.94, P=0.046).
Subgroup analysis by geographic location showed US outpatient physicians had a significantly higher personal accomplishment score than US inpatient physicians (mean difference, 2.38 points; 95% CI, 1.22 to 3.55; P0.001) in double‐armed studies. This difference did not persist when single‐armed studies were included through meta‐regression (mean difference, 0.55 points, 95% CI, 4.30 to 5.40, P=0.83).
Table 4 demonstrates that methodological quality was generally good from the standpoint of the reporting and bias subsections of the Downs and Black tool. External validity was scored lower for many studies due to the use of convenience samples and lack of information about physicians who declined to participate.
| Lead Author, Publication Year | Reporting | External Validity | Internal Validity: Bias | Internal Validity: Confounding | Power |
|---|---|---|---|---|---|
| Schweitzer, 1994 [12] | 5 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Varga, 1996 [88] | 5 of 6 points | 1 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Aasland, 1997 [54] | 3 of 6 points | 2 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Bargellini, 2000 [89] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Grassi, 2000 [58] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| McManus, 2000 [59] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Hoff, 2001 [33] | 6 of 6 points | 2 of 2 points | 2 of 4 points | 1 of 1 point | 0 of 1 point |
| Yaman, 2002 [60] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Cathbras, 2004 [61] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Kushnir, 2004 [62] | 5 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Goehring, 2005 [63] | 6 of 6 points | 1 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Trichard, 2005 [90] | 3 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Esteva, 2006 [64] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Gandini, 2006 [65] | 6 of 6 points | 1 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Ozyurt, 2006 [66] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Deighton, 2007 [67] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Dunwoodie, 2007 [68] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Srgaard, 2007 [69] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 1 of 1 point | 1 of 1 point |
| Sosa Oberlin, 2007 [56] | 4 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Voltmer, 2007 [57] | 4 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| dm, 2008 [70] | 5 of 6 points | 2 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Di Iorio, 2008 [71] | 6 of 6 points | 0 of 2 points | 2 of 4 points | 0 of 1 point | 0 of 1 point |
| Fuss, 2008 [91] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Lee, 2008 [49] | 4 of 6 points | 2 of 2 points | 4 of 4 points | 0 of 1 point | 1 of 1 point |
| Marner, 2008 [92] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Shehabi, 2008 [93] | 3 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Truchot, 2008 [72] | 5 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Twellaar, 2008 [73] | 6 of 6 points | 2 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Vela‐Bueno, 2008 [74] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Arigoni, 2009 [17] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Bernhardt, 2009 [75] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Bressi, 2009 [76] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Brown, 2009 [94] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Krasner, 2009 [77] | 9 of 11 points | 0 of 3 points | 6 of 7 points | 1 of 2 points | 1 of 1 point |
| Lasalvia, 2009 [55] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Lesic, 2009 [78] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Peisah, 2009 [79] | 6 of 6 points | 2 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Shanafelt, 2009 [80] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Tunc, 2009 [95] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Zantinge, 2009 [81] | 5 of 6 points | 0 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Cocco, 2010 [96] | 4 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Demirci, 2010 [82] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Voltmer, 2010 [83] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Doppia, 2011 [97] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Glasheen, 2011 [98] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Lucas, 2011 [84] | 10 of 11 points | 2 of 3 points | 7 of 7 points | 5 of 6 points | 1 of 1 point |
| Maccacaro, 2011 [85] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Putnik, 2011 [86] | 6 of 6 points | 1 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Thorsen, 2011 [99] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Hinami, 2012 [50] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 1 of 1 point |
| Quenot, 2012 [100] | 8 of 11 points | 1 of 3 points | 6 of 7 points | 1 of 2 points | 0 of 1 point |
| Ruitenburg, 2012 [101] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Seibt, 2012 [102] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Shanafelt, 2012 [87] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
Funnel plots were used to evaluate for publication bias in the meta‐analysis of the 8 double‐armed studies (Figure 6). We found no significant evidence of bias, which was supported by Begg's test P values of 0.90 for emotional exhaustion, >0.99 for depersonalization, and 0.54 for personal accomplishment. A trim‐and‐fill analysis determined that no adjustment was necessary.
DISCUSSION
There appears to be no support for the long‐held belief that inpatient physicians are particularly prone to burnout. Among studies for which practice location was stated explicitly or could be obtained from the authors, and who used the MBI, no differences were found among inpatient and outpatient physicians with regard to depersonalization or personal accomplishment. This finding persisted whether double‐armed studies were compared directly, single‐armed studies were incorporated into this analysis, or single‐armed studies were analyzed separately. Outpatient physicians had a higher degree of emotional exhaustion when all studies were considered.
There are several reasons why outpatient physicians may be more prone to emotional exhaustion than their inpatient colleagues. Although it is by no means true that all inpatient physicians work in shifts, the increased availability of shift work may allow some inpatient physicians to better balance their professional and personal lives, a factor of work with which some outpatient physicians have struggled.[47] Inpatient practice may also afford more opportunity for teamwork, a factor that has been shown to correlate with reduced burnout.[48] When surveyed about burnout, outpatient physicians have cited patient volumes, paperwork, medicolegal concerns, and lack of community support as factors.[49] Inpatient physicians are not immune to these forces, but they arguably experience them to different degrees.
The absence of a higher rate of depersonalization among inpatient physicians is particularly reassuring in light of concerns expressed with the advent of US hospital medicinethat some hospitalists would be prone to viewing patients as an impediment to the efficient running of the hospital,[2] the very definition of depersonalization.
Although the difference in the whole sample was not statistically significant, the consistent tendency toward a greater sense of personal accomplishment among outpatient physicians is also noteworthy, particularly because post hoc subgroup analysis of US physicians did show statistical significance in both 2‐armed studies. Without detailed age data for the physicians in each study, we could not separate the possible impact of age on personal accomplishment; hospital medicine is a newer specialty staffed by generally younger physicians, and hospitalists may not have had time to develop a sense of accomplishment. When surveyed about job satisfaction, hospitalists have also reported the feeling that they were treated as glorified residents,[50] a factor that, if shared by other inpatient physicians, must surely affect their sense of personal accomplishment. The lack of longitudinal care for patients and the substantial provision of end‐of‐life care also may diminish the sense of personal accomplishment among inpatient physicians.
Another important finding from this systematic review is the marked heterogeneity of the instruments used to measure physician burnout. Many of the identified studies could not be subjected to meta‐analysis because of their use of differing burnout measures. Drawing more substantial conclusions about burnout and practice location is limited by the fact that, although the majority of studies used the full MBI, the largest study of European hospital doctors used the Copenhagen Burnout Inventory, and the studies thus far of US hospitalists have used single‐item surveys or portions of the MBI. Not reflected in this review is the fact that a large study of US burnout and job satisfaction[51] did not formally address practice location (M. Linzer, personal communication, August 2012). Similarly, a large study of British hospital doctors[52] is not included herein because many of the physicians involved had substantial outpatient duties (C. Taylor, personal communication, July 2012). Varying burnout measures have complicated a previous systematic review of burnout in oncologists.[53] Two studies that directly compared inpatient and outpatient physicians but that were excluded from our statistical analysis because of their modified versions of the MBI,[54, 55] showed higher burnout scores in outpatient physicians. Two other studies that provided direct inpatient versus outpatient comparisons but that used alternative burnout measures[56, 57] showed a greater frequency of burnout in inpatient physicians, but of these, 1 study[56] involved only 3 inpatient physicians.
Several limitations of our study should be considered. Although we endeavored to obtain information from authors (with some success) about specific local practice patterns and eliminated many studies because of incomplete data or mixed practice patterns (eg, general practitioners who take frequent hospital calls, hospital physicians with extensive outpatient duties in a clinic attached to their hospital), it remains likely that many physicians identified as outpatient provided some inpatient care (attending a few weeks per year on a teaching service, for example) and that some physicians identified as inpatient have minimal outpatient duties.
More importantly, the dataset analyzed is heterogeneous. Studies of the incidence of burnout are naturally observational and therefore not randomized. Inclusion of international studies is necessary to answer the research question (because published data on US hospitalists are sparse) but naturally introduces differences in practice settings, local factors, and other factors for which we cannot possibly account fully.
Our meta‐analysis therefore addressed a broad question about burnout among inpatient and outpatient physicians in various diverse settings. Applying it to any 1 population (including US hospitalists) is, by necessity, imprecise.
Post hoc analysis should be viewed with caution. For example, the finding of a statistical difference between US inpatient and outpatient physicians with regard to personal accomplishment score is compelling from the standpoint of hypothesis generation. However, it is worth bearing in mind that this analysis contained only 2 studies, both by the same primary author, and compared 855 outpatient physicians to only 149 hospitalists. This difference was no longer significant when 2 outpatient studies were added through meta‐regression.
Finally, the specific focus of this study on practice location precluded comparison with emergency physicians and anesthesiologists, 2 specialist types that have been the subject of particularly robust burnout literature. As the literature on hospitalist burnout becomes more extensive, comparative studies with these groups and with intensivists might prove instructive.
In summary, analysis of 24 studies comprising data on 5318 outpatient physicians and 1301 inpatient physicians provides no support for the commonly held belief that hospital‐based physicians are particularly prone to burnout. Outpatient physicians reported higher emotional exhaustion. Further studies of the incidence and severity of burnout according to practice location are indicated. We propose that in future studies, to avoid the difficulties with statistical analysis summarized herein, investigators ask about and explicitly report practice location (inpatient vs outpatient vs both) and report mean MBI subset data and standard deviations. Such information about US hospitalists would allow comparison with a robust (if heterogeneous) international literature on burnout.
Acknowledgments
The authors gratefully acknowledge all of the study authors who contributed clarification and guidance for this project, particularly the following authors who provided unpublished data for further analysis: Olaf Aasland, MD; Szilvia dm, PhD; Annalisa Bargellini, PhD; Cinzia Bressi, MD, PhD; Darrell Campbell Jr, MD; Ennio Cocco, MD; Russell Deighton, PhD; Senem Demirci Alanyali, MD; Biagio Di Iorio, MD, PhD; David Dunwoodie, MBBS; Sharon Einav, MD; Madeleine Estryn‐Behar, PhD; Bernardo Gandini, MD; Keiki Hinami, MD; Antonio Lasalvia, MD, PhD; Joseph Lee, MD; Guido Maccacaro, MD; Swati Marner, EdD; Chris McManus, MD, PhD; Carmelle Peisah, MBBS, MD; Katarina Putnik, MSc; Alfredo Rodrguez‐Muoz, PhD; Yahya Shehabi, MD; Evelyn Sosa Oberlin, MD; Jean Karl Soler, MD, MSc; Knut Srgaard, PhD; Cath Taylor; Viva Thorsen, MPH; Mascha Twellaar, MD; Edgar Voltmer, MD; Colin West, MD, PhD; and Deborah Whippen. The authors also thank the following colleagues for their help with translation: Dusanka Anastasijevic (Norwegian); Joyce Cheung‐Flynn, PhD (simplified Chinese); Ales Hlubocky, MD (Czech); Lena Jungheim, RN (Swedish); Erez Kessler (Hebrew); Kanae Mukai, MD (Japanese); Eliane Purchase (French); Aaron Shmookler, MD (Russian); Jan Stepanek, MD (German); Fernando Tondato, MD (Portuguese); Laszlo Vaszar, MD (Hungarian); and Joseph Verheidje, PhD (Dutch). Finally, the authors thank Cynthia Heltne and Diana Rogers for their expert and tireless library assistance, Bonnie Schimek for her help with figures, and Cindy Laureano and Elizabeth Jones for their help with author contact.
Hospital medicine is a rapidly growing field of US clinical practice.[1] Almost since its advent, concerns have been expressed about the potential for hospitalists to burn out.[2] Hospitalists are not unique in this; similar concerns heralded the arrival of other location‐defined specialties, including emergency medicine[3] and the full‐time intensivist model,[4] a fact that has not gone unnoted in the literature about hospitalists.[5]
The existing international literature on physician burnout provides good reason for this concern. Inpatient‐based physicians tend to work unpredictable schedules, with substantial impact on home life.[6] They tend to be young, and much burnout literature suggests a higher risk among younger, less‐experienced physicians.[7] When surveyed, hospitalists have expressed more concerns about their potential for burnout than their outpatient‐based colleagues.[8]
In fact, data suggesting a correlation between inpatient practice and burnout predate the advent of the US hospitalist movement. Increased hospital time was reported to correlate with higher rates of burnout in internists,[9] family practitioners,[10] palliative physicians,[11] junior doctors,[12] radiologists,[13] and cystic fibrosis caregivers.[14] In 1987, Keinan and Melamed[15] noted, Hospital work by its very nature, as compared to the work of a general practitioner, deals with the more severe and complicated illnesses, coupled with continuous daily contacts with patients and their anxious families. In addition, these physicians may find themselves embroiled in the power struggles and competition so common in their work environment.
There are other features, however, that may protect inpatient physicians from burnout. Hospital practice can facilitate favorable social relations involving colleagues, co‐workers, and patients,[16] a factor that may be protective.[17] A hospitalist schedule also can allow more focused time for continuing medical education, research, and teaching,[18] which have all been associated with reduced risk of burnout in some studies.[17] Studies of psychiatrists[19] and pediatricians[20] have shown a lower rate of burnout among physicians with more inpatient duties. Finally, a practice model involving a seemingly stable cadre of inpatient physicians has existed in Europe for decades,[2] indicating at least a degree of sustainability.
Information suggesting a higher rate of burnout among inpatient physicians could be used to target therapeutic interventions and to adjust schedules, whereas the opposite outcome could refute a pervasive myth. We therefore endeavored to summarize the literature on burnout among inpatient versus outpatient physicians in a systematic fashion, and to include data not only from the US hospitalist experience but also from other countries that have used a similar model for decades. Our primary hypothesis was that inpatient physicians experience more burnout than outpatient physicians.
It is important to distinguish burnout from depression, job dissatisfaction, and occupational stress, all of which have been studied extensively in physicians. Burnout, as introduced by Freudenberger[21] and further characterized by Maslach,[22] is a condition in which emotional exhaustion, depersonalization, and a low sense of personal accomplishment combine to negatively affect work life (as opposed to clinical depression, which affects all aspects of life). Job satisfaction can correlate inversely with burnout, but it is a separate process[23] and the subject of a recent systematic review.[24] The importance of distinguishing burnout from job dissatisfaction is illustrated by a survey of head and neck surgeons, in which 97% of those surveyed indicated satisfaction with their jobs and 34% of the same group answered in the affirmative when asked if they felt burned out.[25]
One obstacle to the meaningful comparison of burnout prevalence across time, geography, and specialty is the myriad ways in which burnout is measured and reported. The oldest and most commonly used instrument to measure burnout is the Maslach Burnout Inventory (MBI), which contains 22 items assessing 3 components of burnout (emotional exhaustion, depersonalization, and low personal accomplishment).[26] Other measures include the Copenhagen Burnout Inventory[27] (19 items with the components personal burnout, work‐related burnout, and client‐related burnout), Utrecht Burnout Inventory[28] (20‐item modification of the MBI), Boudreau Burnout Questionnaire[29] (30 items), Arbeitsbezogenes Verhaltens und Erlebensmuster[30] (66‐item questionnaire assessing professional commitment, resistance to stress, and emotional well‐being), Shirom‐Melamed Burnout Measure[31] (22 items with subscales for physical fatigue, cognitive weariness, tension, and listlessness), and a validated single‐item questionnaire.[32]
METHODS
Electronic searches of MEDLINE, EMBASE, PsycINFO, SCOPUS, and PubMed were undertaken for articles published from January 1, 1974 (the year in which burnout was first described by Freudenberger[21]) to 2012 (last accessed, September 12, 2012) using the Medical Subject Headings (MeSH) terms stress, psychological; burnout, professional; adaptation, psychological; and the keyword burnout. The same sources were searched to create another set for the MeSH terms hospitalists, physician's practice patterns, physicians/px, professional practice location, and the keyword hospitalist#. Where exact subject headings did not exist in databases, comparable subject headings or keywords were used. The 2 sets were then combined using the operator and. Abstracts from the Society of Hospital Medicine annual conferences were hand‐searched, as were reference lists from identified articles. To ensure that pertinent international literature was captured, there was no language restriction in the search.
A 2‐stage screening process was used. The titles and abstracts of all articles identified in the search were independently reviewed by 2 investigators (D.L.R. and K.J.C.) who had no knowledge of each other's results. An article was obtained when either reviewer deemed it worthy of full‐text review.
All full‐text articles were independently reviewed by the same 2 investigators. The inclusion criterion was the measurement of burnout in physicians who are stated to or can be reasonably assumed to spend the substantial majority of their clinical practice exclusively in either the inpatient or the outpatient setting. Studies of emergency department physicians or specialists who invariably spend substantial amounts of time in both settings (eg, surgeons, anesthesiologists) were excluded. Studies limited to trainees or nonphysicians were also excluded. For both stages of review, agreement between the 2 investigators was assessed by calculating the statistic. Disagreements about inclusion were adjudicated by a third investigator (A.I.B.).
Because our goal was to establish and compare the rate of burnout among US hospitalists and other inpatient physicians around the world, we included studies of hospitalists according to the definition in use at the time of the individual study, noting that the formal definition of a hospitalist has changed over the years.[33] Because practice patterns for physicians described as primary care physicians, family doctors, hospital doctors, and others differ substantially from country to country, we otherwise included only the studies where the practice location was stated explicitly or where the authors confirmed that their study participants either are known or can be reasonably assumed to spend more than 75% of their time caring for hospital inpatients, or are known or can be reasonably assumed to spend the vast majority of their time caring for outpatients.
Data were abstracted using a standardized form and included the measure of burnout used in the study, results, practice location of study subjects, and total number of study subjects. When data were not clear (eg, burnout measured but not reported by the authors, practice location of study subjects not clear), authors were contacted by email, or when no current email address could be located or no response was received, by telephone or letter. In instances where burnout was measured repeatedly over time or before and after a specific intervention, only the baseline measurement was recorded. Because all studies were expected to be nonrandomized, methodological quality was assessed using a version of the tool of Downs and Black,[34] adapted where necessary by omitting questions not applicable to the specific study type (eg randomization for survey studies)[35] and giving a maximum of 1 point for the inclusion of a power calculation.
Two a priori analyses were planned: (1) a statistical comparison of articles directly comparing burnout among inpatient and outpatient physicians, and (2) a statistical comparison of articles measuring burnout among inpatient physicians with articles measuring burnout among outpatient physicians by the most frequently reported measuremean subset scores for emotional exhaustion, depersonalization, and personal accomplishment on the MBI.
The primary outcome measures were the differences between mean subset scores for emotional exhaustion, depersonalization, and personal accomplishment on the MBI. All differences are expressed as (outpatient meaninpatient mean). The variance of each outcome was calculated with standard formulas.[36] To calculate the overall estimate, each study was weighted by the reciprocal of its variance. Studies with fewer than 10 subjects were excluded from statistical analysis but retained in the systematic review.
For studies that reported data for both inpatient and outpatient physicians (double‐armed studies), Cochran Q test and the I2 value were used to assess heterogeneity.[37, 38] Substantial heterogeneity was expected because these individual studies were conducted for different populations in different settings with different study designs, and this expectation was confirmed statistically. Therefore, we used a random effects model to estimate the overall effect, providing a conservative approach that accounted for heterogeneity among studies.[39]
To assess the durability of our findings, we performed separate multivariate meta‐regression analyses by including single‐armed studies only and including both single‐armed and double‐armed studies. For these meta‐regressions, means were again weighted by the reciprocal of their variances, and the arms of 2‐armed studies were considered separately. This approach allowed us to generate an estimate of the differences between MBI subset scores from studies that did not include such an estimate when analyzed separately.[40]
We examined the potential for publication bias in double‐armed studies by constructing a funnel plot, in which mean scores were plotted against their standard errors.[41] The trim‐and‐fill method was used to determine whether adjustment for publication bias was necessary. In addition, Begg's rank correlation test[42] was completed to test for statistically significant publication bias.
Stata 10.0 statistical software (StataCorp, College Station, TX) was used for data analyses. A P value of 0.05 or less was deemed statistically significant. The Preferred Reporting Items for Systematic Reviews and Meta‐analysis checklist was used for the design and execution of the systematic review and meta‐analysis.[43]
Subgroup analyses based on location were undertaken a posteriori. All data (double‐armed meta‐analysis, meta‐regression of single‐armed studies, and meta‐regression of single‐ and double‐armed studies) were analyzed by location (United States vs other; United States vs Europe vs other).
RESULTS
The search results are outlined in Figure 1. In total, 1704 articles met the criteria for full‐text review. A review of pertinent reference lists and author contacts led to the addition of 149 articles. Twenty‐nine references could not be located by any means, despite repeated attempts. Therefore, 1824 articles were subjected to full‐text review by the 2 investigators.
Initially, 57 articles were found that met criteria for inclusion. Of these, 2 articles reported data in formats that could not be interpreted.[44, 45] When efforts to clarify the data with the authors were unsuccessful, these studies were excluded. A study specifically designed to assess the response of physicians to a recent series of terrorist attacks[46] was excluded a posteriori because of lack of generalizability. Of the other 54 studies, 15 reported burnout data on both outpatient physicians and inpatient physicians, 22 reported data on outpatient physicians only, and 17 reported data on inpatient physicians only. Table 1 summarizes the results of the 37 studies involving outpatient physicians; Table 2 summarizes the 32 studies involving inpatient physicians.
| Lead Author, Publication Year | Study Population and Location | Instrument | No. of Participants | EE Score (SD)a | DP Score (SD) | PA Score (SD) | Other Results |
|---|---|---|---|---|---|---|---|
| |||||||
| Schweitzer, 1994[12] | Young physicians of various specialties in South Africa | Single‐item survey | 7 | 6 (83%) endorsed burnout | |||
| Aasland, 1997 [54]b | General practitioners in Norway | Modified MBI (22 items; scale, 15) | 298 | 2.65 (0.80) | 1.90 (0.59) | 3.45 (0.40) | |
| Grassi, 2000 [58] | General practitioners in Italy | MBI | 182 | 18.49 (11.49) | 6.11 (5.86) | 38.52 (7.60) | |
| McManus, 2000 [59]b | General practitioners in United Kingdom | Modified MBI (9 items; scale, 06) | 800 | 8.34 (4.39) | 3.18 (3.40) | 14.16 (2.95) | |
| Yaman, 2002 [60] | General practitioners in 8 European nations | MBI | 98 | 25.1 (8.50) | 7.3 (4.92) | 34.5 (7.67) | |
| Cathbras, 2004 [61] | General practitioners in France | MBI | 306 | 21.85 (12.4) | 9.13 (6.7) | 38.7 (7.1) | |
| Goehring, 2005 [63] | General practitioners, general internists, pediatricians in Switzerland | MBI | 1755 | 17.9 (9.8) | 6.5 (4.7) | 39.6 (6.5) | |
| Esteva, 2006 [64] | General practitioners, pediatricians in Spain | MBI | 261 | 27.4 (11.8) | 10.07 (6.4) | 35.9 (7.06) | |
| Gandini, 2006 [65]b | Physicians of various specialties in Argentina | MBI | 67 | 31.0 (13.8) | 10.2 (6.6) | 38.4 (6.8) | |
| Ozyurt, 2006 [66] | General practitioners in Turkey | Modified MBI (22 items; scale, 04) | 55 | 15.23 (5.80) | 4.47 (3.31) | 23.38 (4.29) | |
| Deighton, 2007 [67]b | Psychiatrists in several German‐speaking nations | MBI | 19 | 30.68 (9.92) | 13.42 (4.23) | 37.16 (3.39) | |
| Dunwoodie, 2007 [68]b | Palliative care physicians in Australia | MBI | 21 | 14.95 (9.14) | 3.95 (3.40) | 38.90 (2.88) | |
| Srgaard, 2007 [69]b | Psychiatrists in 5 European nations | MBI | 22 | 19.41 (8.08) | 6.68 (4.93) | 39.00 (4.40) | |
| Sosa Oberlin, 2007 [56]b | Physicians of various specialties in Argentina | Author‐designed instrument | 33 | 26 (78.8%) had 4 burnout symptoms, 6.15 symptoms per physician | |||
| Voltmer, 2007 [57]b | Physicians of various specialties in Germany | AVEM | 46 | 11 (23.9%) exhibited burnout (type B) pattern | |||
| dm, 2008 [70]b | Physicians of various specialties in Hungary | MBI | 163 | 17.45 (11.12) | 4.86 (4.91) | 36.56 (7.03) | |
| Di Iorio, 2008 [71]b | Dialysis physicians in Italy | Author‐designed instrument | 54 | Work: 2.6 (1.5), Material: 3.1 (2.1), Climate: 3.0 (1.1), Objectives: 3.4 (1.6), Quality: 2.2 (1.5), Justification: 3.2 (2.0) | |||
| Lee, 2008 [49]b | Family physicians in Canada | MBI | 123 | 26.26 (9.53) | 10.20 (5.22) | 38.43 (7.34) | |
| Truchot, 2008 [72] | General practitioners in France | MBI | 259 | 25.4 (11.7) | 7.5 (5.5) | 36.5 (7.1) | |
| Twellaar, 2008 [73]b | General practitioners in the Netherlands | Utrecht Burnout Inventory | 349 | 2.06 (1.11) | 1.71 (1.05) | 5.08 (0.77) | |
| Arigoni, 2009 [17] | General practitioners, pediatricians in Switzerland | MBI | 258 | 22.8 (12.0) | 6.9 (6.1) | 39.0 (7.2) | |
| Bernhardt, 2009 [75] | Clinical geneticists in United States | MBI | 72 | 25.8 (10.01)c | 10.9 (4.16)c | 34.8 (5.43)c | |
| Bressi, 2009 [76]b | Psychiatrists in Italy | MBI | 53 | 23.15 (11.99) | 7.02 (6.29) | 36.41 (7.54) | |
| Krasner, 2009 [77] | General practitioners in United States | MBI | 60 | 26.8 (10.9)d | 8.4 (5.1)d | 40.2 (5.3)d | |
| Lasalvia, 2009 [55]b | Psychiatrists in Italy | Modified MBI (16 items; scale, 06) | 38 | 2.37 (1.27) | 1.51 (1.15) | 4.46 (0.87) | |
| Peisah, 2009 [79]b | Physicians of various specialties in Australia | MBI | 28 | 13.92 (9.24) | 3.66 (3.95) | 39.34 (8.55) | |
| Shanafelt, 2009 [80]b | Physicians of various specialties in United States | MBI | 408 | 20.5 (11.10) | 4.3 (4.74) | 40.8 (6.26) | |
| Zantinge, 2009 [81] | General practitioners in the Netherlands | Utrecht Burnout Inventory | 126 | 1.58 (0.79) | 1.32 (0.72) | 4.27 (0.77) | |
| Voltmer, 2010 [83]b | Psychiatrists in Germany | AVEM | 526 | 114 (21.7%) exhibited burnout (type B) pattern | |||
| Maccacaro, 2011 [85]b | Physicians of various specialties in Italy | MBI | 42 | 14.31 (11.98) | 3.62 (4.95) | 38.24 (6.22) | |
| Lucas, 2011 [84]b | Outpatient physicians periodically staffing an academic hospital teaching service in United States | MBI (EE only) | 30 | 24.37 (14.95) | |||
| Shanafelt, 2012 [87]b | General internists in United States | MBI | 447 | 25.4 (14.0) | 7.5 (6.3) | 41.4 (6.0) | |
| Kushnir, 2004 [62] | General practitioners and pediatricians in Israel | MBI (DP only) and SMBM | 309 | 9.15 (3.95) | SMBM mean (SD), 2.73 per item (0.86) | ||
| Vela‐Bueno, 2008 [74]b | General practitioners in Spain | MBI | 240 | 26.91 (11.61) | 9.20 (6.35) | 35.92 (7.92) | |
| Lesic, 2009 [78]b | General practitioners in Serbia | MBI | 38 | 24.71 (10.81) | 7.47 (5.51) | 37.21 (7.44) | |
| Demirci, 2010 [82]b | Medical specialists related to oncology practice in Hungary | MBI | 26 | 23.31 (11.2) | 6.46 (5.7) | 37.7 (8.14) | |
| Putnik, 2011 [86]b | General practitioners in Hungary | MBI | 370 | 22.22 (11.75) | 3.66 (4.40) | 41.40 (6.85) | |
| Lead Author, Publication Year | Study Population and Location | Instrument | No. of Participants | EE Score (SD)a | DP Score (SD) | PA Score (SD) | Other Results |
|---|---|---|---|---|---|---|---|
| |||||||
| Varga, 1996 [88] | Hospital doctors in Spain | MBI | 179 | 21.61b | 7.33b | 35.28b | |
| Aasland, 1997 [54] | Hospital doctors in Norway | Modified MBI (22 items; scale, 15) | 582 | 2.39 (0.80) | 1.81 (0.65) | 3.51 (0.46) | |
| Bargellini, 2000 [89] | Hospital doctors in Italy | MBI | 51 | 17.45 (9.87) | 7.06 (5.54) | 35.33 (7.90) | |
| Grassi, 2000 [58] | Hospital doctors in Italy | MBI | 146 | 16.17 (9.64) | 5.32 (4.76) | 38.71 (7.28) | |
| Hoff, 2001 [33] | Hospitalists in United States | Single‐item surveyc | 393 | 12.9% burned out (>4/5), 24.9% at risk for burnout (34/5), 62.2% at no current risk (mean, 2.86 on 15 scale) | |||
| Trichard, 2005 [90] | Hospital doctors in France | MBI | 199 | 16 (10.7) | 6.6 (5.7) | 38.5 (6.5) | |
| Gandini, 2006 [65]d | Hospital doctors in Argentina | MBI | 290 | 25.0 (12.7) | 7.9 (6.2) | 40.1 (7.0) | |
| Dunwoodie, 2007 [68]d | Palliative care doctors in Australia | MBI | 14 | 18.29 (14.24) | 5.29 (5.89) | 38.86 (3.42) | |
| Srgaard, 2007 [69]d | Psychiatrists in 5 European nations | MBI | 18 | 18.56 (9.32) | 5.50 (3.79) | 39.08 (5.39) | |
| Sosa Oberlin, 2007 [56]d | Hospital doctors in Argentina | Author‐designed instrument | 3 | 3 (100%) had 4 burnout symptoms, 8.67 symptoms per physician | |||
| Voltmer, 2007 [57]d | Hospital doctors in Germany | AVEM | 271 | 77 (28.4%) exhibited burnout (type B) pattern | |||
| dm, 2008 [70]b | Physicians of various specialties in Hungary | MBI | 194 | 19.23 (10.79) | 4.88 (4.61) | 35.26 (8.42) | |
| Di Iorio, 2008 [71]d | Dialysis physicians in Italy | Author‐designed instrument | 62 | Work, mean (SD), 3.1 (1.4); Material, mean (SD), 3.3 (1.5); Climate, mean (SD), 2.9 (1.1); Objectives, mean (SD), 2.5 (1.5); Quality, mean (SD), 3.0 (1.1); Justification, mean (SD), 3.1 (2.1) | |||
| Fuss, 2008 [91]d | Hospital doctors in Germany | Copenhagen Burnout Inventory | 292 | Mean Copenhagen Burnout Inventory, mean (SD), 46.90 (18.45) | |||
| Marner, 2008 [92]d | Psychiatrists and 1 generalist in United States | MBI | 9 | 20.67 (9.75) | 7.78 (5.14) | 35.33 (6.44) | |
| Shehabi, 2008 [93]d | Intensivists in Australia | Modified MBI (6 items; scale, 15) | 86 | 2.85 (0.93) | 2.64 (0.85) | 2.58 (0.83) | |
| Bressi, 2009 [76]d | Psychiatrists in Italy | MBI | 28 | 17.89 (14.46) | 5.32 (7.01) | 34.57 (11.27) | |
| Brown, 2009 [94] | Hospital doctors in Australia | MBI | 12 | 22.25 (8.59) | 6.33 (2.71) | 39.83 (7.31) | |
| Lasalvia, 2009 [55]d | Psychiatrists in Italy | Modified MBI (16 items; scale, 06) | 21 | 1.95 (1.04) | 1.35 (0.85) | 4.46 (1.04) | |
| Peisah, 2009 [79]d | Hospital doctors in Australia | MBI | 62 | 20.09 (9.91) | 6.34 (4.90) | 35.06 (7.33) | |
| Shanafelt, 2009 [80]d | Hospitalists and intensivists in United States | MBI | 19 | 25.2 (11.59) | 4.4 (3.79) | 38.5 (8.04) | |
| Tunc, 2009 [95] | Hospital doctors in Turkey | Modified MBI (22 items; scale, 04) | 62 | 1.18 (0.78) | 0.81 (0.73) | 3.10 (0.59)e | |
| Cocco, 2010 [96]d | Hospital geriatricians in Italy | MBI | 38 | 16.21 (11.56) | 4.53 (4.63) | 39.13 (7.09) | |
| Doppia, 2011 [97]d | Hospital doctors in France | Copenhagen Burnout Inventory | 1,684 | Mean work‐related burnout score, 2.72 (0.75) | |||
| Glasheen, 2011 [98] | Hospitalists in United States | Single‐item survey | 265 | Mean, 2.08 on 15 scale 62 (23.4%) burned out | |||
| Lucas, 2011 [84]d | Academic hospitalists in United States | MBI (EE only) | 26 | 19.54 (12.85) | |||
| Thorsen, 2011 [99] | Hospital doctors in Malawi | MBI | 2 | 25.5 (4.95) | 8.5 (6.36) | 25.0 (5.66) | |
| Hinami, 2012 [50]d | Hospital doctors in United States | Single‐item survey | 793 | Mean, 2.24 on 15 scale 261 (27.2%) burned out | |||
| Quenot, 2012 [100]d | Intensivists in France | MBI | 4 | 33.25 (4.57) | 13.50 (5.45) | 35.25 (4.86) | |
| Ruitenburg, 2012 [101] | Hospital doctors in the Netherlands | MBI (EE and DP only) | 214 | 13.3 (8.0) | 4.5 (4.1) | ||
| Seibt, 2012 [102]d | Hospital doctors in Germany | Modified MBI (16 items; scale, 06, reported per item rather than totals) | 2,154 | 2.2 (1.4) | 1.4 (1.2) | 5.1 (0.9) | |
| Shanafelt, 2012 [87]d | Hospitalists in United States | MBI | 130 | 24.7 (12.5) | 9.1 (6.9) | 39.0 (7.6) | |
Table 3 summarizes the results of the 15 studies that reported burnout data for both inpatient and outpatient physicians, allowing direct comparisons to be made. Nine studies reported MBI subset totals with standard deviations, 2 used different modifications of the MBI, 2 used different author‐derived measures, 1 used only the emotional exhaustion subscale of the MBI, and 1 used the Arbeitsbezogenes Verhaltens und Erlebensmuster. Therefore, statistical comparison was attempted only for the 9 studies reporting comparable MBI data, comprising burnout data on 1390 outpatient physicians and 899 inpatient physicians.
| Lead Author, Publication Year | Location | Instrument | Inpatient‐Based Physicians | Outpatient‐Based Physicians | ||
|---|---|---|---|---|---|---|
| No. | Results, Score (SD)a | No. | Results, Score (SD)a | |||
| ||||||
| Aasland, 1997 [54]b | Norway | Modified MBI (22 items; scale, 15) | 582 | EE, 2.39 (0.80); DP, 1.81 (0.65); PA, 3.51 (0.46) | 298 | EE, 2.65 (0.80); DP, 1.90 (0.59); PA, 3.45 (0.40) |
| Grassi, 2000 [58] | Italy | MBI | 146 | EE, 16.17 (9.64); DP, 5.32 (4.76); PA, 38.71 (7.28) | 182 | EE, 18.49 (11.49); DP, 6.11 (5.86); PA, 38.52 (7.60) |
| Gandini, 2006 [65]b | Argentina | MBI | 290 | EE, 25.0 (12.7);DP, 7.9 (6.2); PA, 40.1 (7.0) | 67 | EE, 31.0 (13.8); DP, 10.2 (6.6); PA, 38.4 (6.8) |
| Dunwoodie, 2007 [68]b | Australia | MBI | 14 | EE, 18.29 (14.24); DP, 5.29 (5.89); PA, 38.86 (3.42) | 21 | EE, 14.95 (9.14); DP, 3.95 (3.40); PA, 38.90 (2.88) |
| Srgaard, 2007 [69]b | 5 European nations | MBI | 18 | EE, 18.56 (9.32); DP, 5.50 (3.79); PA, 39.08 (5.39) | 22 | EE, 19.41 (8.08); DP, 6.68 (4.93); PA, 39.00 (4.40) |
| Sosa Oberlin, 2007 [56]b | Argentina | Author‐designed instrument | 3 | 3 (100%) had 4 burnout symptoms, 8.67 symptoms per physician | 33 | 26 (78.8%) had 4 burnout symptoms, 6.15 symptoms per physician |
| Voltmer, 2007 [57]b | Germany | AVEM | 271 | 77 (28.4%) exhibited burnout (type B) pattern | 46 | 11 (23.9%) exhibited burnout (type B) pattern |
| dm, 2008 [70]b | Hungary | MBI | 194 | EE, 19.23 (10.79); DP, 4.88 (4.61); PA, 35.26 (8.42) | 163 | EE, 17.45 (11.12); DP, 4.86 (4.91); PA, 36.56 (7.03) |
| Di Iorio, 2008 [71]b | Italy | Author‐designed instrument | 62 | Work: 3.1 (1.4); material: 3.3 (1.5); climate: 2.9 (1.1); objectives: 2.5 (1.5); quality: 3.0 (1.1); justification: 3.1 (2.1) | 54 | Work: 2.6 (1.5); material: 3.1 (2.1); climate: 3.0 (1.1); objectives: 3.4 (1.6); quality: 2.2 (1.5); justification: 3.2 (2.0) |
| Bressi, 2009 [76]b | Italy | MBI | 28 | EE, 17.89 (14.46); DP, 5.32 (7.01); PA, 34.57 (11.27) | 53 | EE, 23.15 (11.99); DP, 7.02 (6.29); PA, 36.41 (7.54) |
| Lasalvia, 2009[55]b | Italy | Modified MBI (16 items; scale, 06) | 21 | EE, 1.95 (1.04); DP, 1.35 (0.85); PA, 4.46 (1.04) | 38 | EE, 2.37 (1.27); DP, 1.51 (1.15); PA, 4.46 (0.87) |
| Peisah, 2009 [79]b | Australia | MBI | 62 | EE, 20.09 (9.91); DP, 6.34 (4.90); PA, 35.06 (7.33) | 28 | EE, 13.92 (9.24); DP, 3.66 (3.95); PA, 39.34 (8.55) |
| Shanafelt, 2009 [80]b | United States | MBI | 19 | EE, 25.2 (11.59); DP, 4.4 (3.79); PA, 38.5 (8.04) | 408 | EE, 20.5 (11.10); DP, 4.3 (4.74); PA, 40.8 (6.26) |
| Lucas, 2011 [84]b | United States | MBI (EE only) | 26 | EE, 19.54 (12.85) | 30 | EE, 24.37 (14.95) |
| Shanafelt, 2012 [87]b | United States | MBI | 130 | EE, 24.7 (12.5); DP, 9.1 (6.9); PA, 39.0 (7.6) | 447 | EE, 25.4 (14.0); DP, 7.5 (6.3); PA, 41.4 (6.0) |
Figure 2 shows that no significant difference existed between the groups regarding emotional exhaustion (mean difference, 0.11 points on a 54‐point scale; 95% confidence interval [CI], 2.40 to 2.61; P=0.94). In addition, there was no significant difference between the groups regarding depersonalization (Figure 3; mean difference, 0.00 points on a 30‐point scale; 95% CI, 1.03 to 1.02; P=0.99) and personal accomplishment (Figure 4; mean difference, 0.93 points on a 48‐point scale; 95% CI, 0.23 to 2.09; P=0.11).
We used meta‐regression to allow the incorporation of single‐armed MBI studies. Whether single‐armed studies were analyzed separately (15 outpatient studies comprising 3927 physicians, 4 inpatient studies comprising 300 physicians) or analyzed with double‐armed studies (24 outpatient arms comprising 5318 physicians, 13 inpatient arms comprising 1301 physicians), the lack of a significant difference between the groups persisted for the depersonalization and personal accomplishment scales (Figure 5). Emotional exhaustion was significantly higher in outpatient physicians when single‐armed studies were considered separately (mean difference, 6.36 points; 95% CI, 2.24 to 10.48; P=0.002), and this difference persisted when all studies were combined (mean difference, 3.00 points; 95% CI, 0.05 to 5.94, P=0.046).
Subgroup analysis by geographic location showed US outpatient physicians had a significantly higher personal accomplishment score than US inpatient physicians (mean difference, 2.38 points; 95% CI, 1.22 to 3.55; P0.001) in double‐armed studies. This difference did not persist when single‐armed studies were included through meta‐regression (mean difference, 0.55 points, 95% CI, 4.30 to 5.40, P=0.83).
Table 4 demonstrates that methodological quality was generally good from the standpoint of the reporting and bias subsections of the Downs and Black tool. External validity was scored lower for many studies due to the use of convenience samples and lack of information about physicians who declined to participate.
| Lead Author, Publication Year | Reporting | External Validity | Internal Validity: Bias | Internal Validity: Confounding | Power |
|---|---|---|---|---|---|
| Schweitzer, 1994 [12] | 5 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Varga, 1996 [88] | 5 of 6 points | 1 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Aasland, 1997 [54] | 3 of 6 points | 2 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Bargellini, 2000 [89] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Grassi, 2000 [58] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| McManus, 2000 [59] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Hoff, 2001 [33] | 6 of 6 points | 2 of 2 points | 2 of 4 points | 1 of 1 point | 0 of 1 point |
| Yaman, 2002 [60] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Cathbras, 2004 [61] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Kushnir, 2004 [62] | 5 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Goehring, 2005 [63] | 6 of 6 points | 1 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Trichard, 2005 [90] | 3 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Esteva, 2006 [64] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Gandini, 2006 [65] | 6 of 6 points | 1 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Ozyurt, 2006 [66] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Deighton, 2007 [67] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Dunwoodie, 2007 [68] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Srgaard, 2007 [69] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 1 of 1 point | 1 of 1 point |
| Sosa Oberlin, 2007 [56] | 4 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Voltmer, 2007 [57] | 4 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| dm, 2008 [70] | 5 of 6 points | 2 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Di Iorio, 2008 [71] | 6 of 6 points | 0 of 2 points | 2 of 4 points | 0 of 1 point | 0 of 1 point |
| Fuss, 2008 [91] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Lee, 2008 [49] | 4 of 6 points | 2 of 2 points | 4 of 4 points | 0 of 1 point | 1 of 1 point |
| Marner, 2008 [92] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Shehabi, 2008 [93] | 3 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Truchot, 2008 [72] | 5 of 6 points | 1 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Twellaar, 2008 [73] | 6 of 6 points | 2 of 2 points | 3 of 4 points | 0 of 1 point | 0 of 1 point |
| Vela‐Bueno, 2008 [74] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Arigoni, 2009 [17] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Bernhardt, 2009 [75] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Bressi, 2009 [76] | 6 of 6 points | 0 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Brown, 2009 [94] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Krasner, 2009 [77] | 9 of 11 points | 0 of 3 points | 6 of 7 points | 1 of 2 points | 1 of 1 point |
| Lasalvia, 2009 [55] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Lesic, 2009 [78] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Peisah, 2009 [79] | 6 of 6 points | 2 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Shanafelt, 2009 [80] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Tunc, 2009 [95] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Zantinge, 2009 [81] | 5 of 6 points | 0 of 2 points | 3 of 4 points | 1 of 1 point | 0 of 1 point |
| Cocco, 2010 [96] | 4 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Demirci, 2010 [82] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Voltmer, 2010 [83] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Doppia, 2011 [97] | 5 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Glasheen, 2011 [98] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Lucas, 2011 [84] | 10 of 11 points | 2 of 3 points | 7 of 7 points | 5 of 6 points | 1 of 1 point |
| Maccacaro, 2011 [85] | 5 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Putnik, 2011 [86] | 6 of 6 points | 1 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Thorsen, 2011 [99] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Hinami, 2012 [50] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 1 of 1 point |
| Quenot, 2012 [100] | 8 of 11 points | 1 of 3 points | 6 of 7 points | 1 of 2 points | 0 of 1 point |
| Ruitenburg, 2012 [101] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 0 of 1 point | 0 of 1 point |
| Seibt, 2012 [102] | 6 of 6 points | 0 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
| Shanafelt, 2012 [87] | 6 of 6 points | 2 of 2 points | 4 of 4 points | 1 of 1 point | 0 of 1 point |
Funnel plots were used to evaluate for publication bias in the meta‐analysis of the 8 double‐armed studies (Figure 6). We found no significant evidence of bias, which was supported by Begg's test P values of 0.90 for emotional exhaustion, >0.99 for depersonalization, and 0.54 for personal accomplishment. A trim‐and‐fill analysis determined that no adjustment was necessary.
DISCUSSION
There appears to be no support for the long‐held belief that inpatient physicians are particularly prone to burnout. Among studies for which practice location was stated explicitly or could be obtained from the authors, and who used the MBI, no differences were found among inpatient and outpatient physicians with regard to depersonalization or personal accomplishment. This finding persisted whether double‐armed studies were compared directly, single‐armed studies were incorporated into this analysis, or single‐armed studies were analyzed separately. Outpatient physicians had a higher degree of emotional exhaustion when all studies were considered.
There are several reasons why outpatient physicians may be more prone to emotional exhaustion than their inpatient colleagues. Although it is by no means true that all inpatient physicians work in shifts, the increased availability of shift work may allow some inpatient physicians to better balance their professional and personal lives, a factor of work with which some outpatient physicians have struggled.[47] Inpatient practice may also afford more opportunity for teamwork, a factor that has been shown to correlate with reduced burnout.[48] When surveyed about burnout, outpatient physicians have cited patient volumes, paperwork, medicolegal concerns, and lack of community support as factors.[49] Inpatient physicians are not immune to these forces, but they arguably experience them to different degrees.
The absence of a higher rate of depersonalization among inpatient physicians is particularly reassuring in light of concerns expressed with the advent of US hospital medicinethat some hospitalists would be prone to viewing patients as an impediment to the efficient running of the hospital,[2] the very definition of depersonalization.
Although the difference in the whole sample was not statistically significant, the consistent tendency toward a greater sense of personal accomplishment among outpatient physicians is also noteworthy, particularly because post hoc subgroup analysis of US physicians did show statistical significance in both 2‐armed studies. Without detailed age data for the physicians in each study, we could not separate the possible impact of age on personal accomplishment; hospital medicine is a newer specialty staffed by generally younger physicians, and hospitalists may not have had time to develop a sense of accomplishment. When surveyed about job satisfaction, hospitalists have also reported the feeling that they were treated as glorified residents,[50] a factor that, if shared by other inpatient physicians, must surely affect their sense of personal accomplishment. The lack of longitudinal care for patients and the substantial provision of end‐of‐life care also may diminish the sense of personal accomplishment among inpatient physicians.
Another important finding from this systematic review is the marked heterogeneity of the instruments used to measure physician burnout. Many of the identified studies could not be subjected to meta‐analysis because of their use of differing burnout measures. Drawing more substantial conclusions about burnout and practice location is limited by the fact that, although the majority of studies used the full MBI, the largest study of European hospital doctors used the Copenhagen Burnout Inventory, and the studies thus far of US hospitalists have used single‐item surveys or portions of the MBI. Not reflected in this review is the fact that a large study of US burnout and job satisfaction[51] did not formally address practice location (M. Linzer, personal communication, August 2012). Similarly, a large study of British hospital doctors[52] is not included herein because many of the physicians involved had substantial outpatient duties (C. Taylor, personal communication, July 2012). Varying burnout measures have complicated a previous systematic review of burnout in oncologists.[53] Two studies that directly compared inpatient and outpatient physicians but that were excluded from our statistical analysis because of their modified versions of the MBI,[54, 55] showed higher burnout scores in outpatient physicians. Two other studies that provided direct inpatient versus outpatient comparisons but that used alternative burnout measures[56, 57] showed a greater frequency of burnout in inpatient physicians, but of these, 1 study[56] involved only 3 inpatient physicians.
Several limitations of our study should be considered. Although we endeavored to obtain information from authors (with some success) about specific local practice patterns and eliminated many studies because of incomplete data or mixed practice patterns (eg, general practitioners who take frequent hospital calls, hospital physicians with extensive outpatient duties in a clinic attached to their hospital), it remains likely that many physicians identified as outpatient provided some inpatient care (attending a few weeks per year on a teaching service, for example) and that some physicians identified as inpatient have minimal outpatient duties.
More importantly, the dataset analyzed is heterogeneous. Studies of the incidence of burnout are naturally observational and therefore not randomized. Inclusion of international studies is necessary to answer the research question (because published data on US hospitalists are sparse) but naturally introduces differences in practice settings, local factors, and other factors for which we cannot possibly account fully.
Our meta‐analysis therefore addressed a broad question about burnout among inpatient and outpatient physicians in various diverse settings. Applying it to any 1 population (including US hospitalists) is, by necessity, imprecise.
Post hoc analysis should be viewed with caution. For example, the finding of a statistical difference between US inpatient and outpatient physicians with regard to personal accomplishment score is compelling from the standpoint of hypothesis generation. However, it is worth bearing in mind that this analysis contained only 2 studies, both by the same primary author, and compared 855 outpatient physicians to only 149 hospitalists. This difference was no longer significant when 2 outpatient studies were added through meta‐regression.
Finally, the specific focus of this study on practice location precluded comparison with emergency physicians and anesthesiologists, 2 specialist types that have been the subject of particularly robust burnout literature. As the literature on hospitalist burnout becomes more extensive, comparative studies with these groups and with intensivists might prove instructive.
In summary, analysis of 24 studies comprising data on 5318 outpatient physicians and 1301 inpatient physicians provides no support for the commonly held belief that hospital‐based physicians are particularly prone to burnout. Outpatient physicians reported higher emotional exhaustion. Further studies of the incidence and severity of burnout according to practice location are indicated. We propose that in future studies, to avoid the difficulties with statistical analysis summarized herein, investigators ask about and explicitly report practice location (inpatient vs outpatient vs both) and report mean MBI subset data and standard deviations. Such information about US hospitalists would allow comparison with a robust (if heterogeneous) international literature on burnout.
Acknowledgments
The authors gratefully acknowledge all of the study authors who contributed clarification and guidance for this project, particularly the following authors who provided unpublished data for further analysis: Olaf Aasland, MD; Szilvia dm, PhD; Annalisa Bargellini, PhD; Cinzia Bressi, MD, PhD; Darrell Campbell Jr, MD; Ennio Cocco, MD; Russell Deighton, PhD; Senem Demirci Alanyali, MD; Biagio Di Iorio, MD, PhD; David Dunwoodie, MBBS; Sharon Einav, MD; Madeleine Estryn‐Behar, PhD; Bernardo Gandini, MD; Keiki Hinami, MD; Antonio Lasalvia, MD, PhD; Joseph Lee, MD; Guido Maccacaro, MD; Swati Marner, EdD; Chris McManus, MD, PhD; Carmelle Peisah, MBBS, MD; Katarina Putnik, MSc; Alfredo Rodrguez‐Muoz, PhD; Yahya Shehabi, MD; Evelyn Sosa Oberlin, MD; Jean Karl Soler, MD, MSc; Knut Srgaard, PhD; Cath Taylor; Viva Thorsen, MPH; Mascha Twellaar, MD; Edgar Voltmer, MD; Colin West, MD, PhD; and Deborah Whippen. The authors also thank the following colleagues for their help with translation: Dusanka Anastasijevic (Norwegian); Joyce Cheung‐Flynn, PhD (simplified Chinese); Ales Hlubocky, MD (Czech); Lena Jungheim, RN (Swedish); Erez Kessler (Hebrew); Kanae Mukai, MD (Japanese); Eliane Purchase (French); Aaron Shmookler, MD (Russian); Jan Stepanek, MD (German); Fernando Tondato, MD (Portuguese); Laszlo Vaszar, MD (Hungarian); and Joseph Verheidje, PhD (Dutch). Finally, the authors thank Cynthia Heltne and Diana Rogers for their expert and tireless library assistance, Bonnie Schimek for her help with figures, and Cindy Laureano and Elizabeth Jones for their help with author contact.
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- , , , , . Crossing boundaries: family physicians' struggles to protect their private lives. Can Fam Physician. 2009;55(3):286–287.e5.
- , , , , , , et al. Emergency physicians accumulate more stress factors than other physicians: results from the French SESMAT study. Emerg Med J. 2011 May;28(5):397–410. Epub 2010 Dec 1.
- , , . Stress, burnout, and strategies for reducing them: what's the situation among Canadian family physicians? Can Fam Physician. 2008;54(2):234–235.
- , , , , . Worklife and satisfaction of hospitalists: toward flourishing careers. J Gen Intern Med. 2012;27(1):28–36.
- , , , , , , et al; MEMO (Minimizing Error, Maximizing Outcome) Investigators. Working conditions in primary care: physician reactions and care quality. Ann Intern Med. 2009 Jul 7;151(1):28–36.
- , , , , . Mental health of hospital consultants: the effects of stress and satisfaction at work. Lancet. 1996 Mar 16;347(9003):724–8.
- , , , . Burnout, psychiatric morbidity, and work‐related sources of stress in paediatric oncology staff: a review of the literature. Psycho‐Oncology. 2009 Oct;18(10):1019–28.
- , , , , . Health complaints and job stress in Norwegian physicians: the use of an overlapping questionnaire design. Soc Sci Med. 1997;45(11):1615–1629.
- , , , et al. Influence of perceived organisational factors on job burnout: survey of community mental health staff. Br J Psychiatry. 2009;195(6):537–544.
- . Frecuencia de los sintomas del syndrome de burnout en profesionales medicos. Rev Med Rosario. 2007;73:12–20.
- , , . Work‐related behaviour and experience patterns of physicians compared to other professions. Swiss Med Wkly. 2007;137(31‐32):448–453.
- , . Psychiatric morbidity and burnout in the medical profession: an Italian study of general practitioners and hospital physicians. Psychother Psychosom. 2000;69(6):329–334.
- , , . Duties of a doctor: UK doctors and good medical practice. Qual Health Care. 2000;9(1):14–22.
- , . The job related burnout questionnaire: a multinational pilot study. Aust Fam Physician. 2002;31(11):1055–1056.
- , , , , . Burn out among French general practitioners [in French]. Presse Med. 2004;33(22): 1569–1574.
- , , . Are burnout levels increasing? The experience of Israeli primary care physicians. Isr Med Assoc J. 2004; 6(8):451–455.
- , , , . Psychosocial and professional characteristics of burnout in Swiss primary care practitioners: a cross‐sectional survey. Swiss Med Wkly. 2005;135(7‐8):101–108.
- , , . Mental health in family doctors: effects of satisfaction and stress at work [in Spanish]. Rev Clin Esp. 2006;206(2):77–83.
- , , , , . The professional wearing down or syndrome of welfare labor stress (“burnout”) among health professionals in the city of Cordoba [in Spanish]. Rev Fac Cien Med Univ Nac Cordoba. 2006;63(1):18–25.
- , , . Predictors of burnout and job satisfaction among Turkish physicians. QJM. 2006;99(3):161–169.
- , , . Factors affecting burnout and compassion fatigue in psychotherapists treating torture survivors: is the therapist's attitude to working through trauma relevant? J Trauma Stress. 2007;20(1):63–75.
- , . Psychological morbidity and burnout in palliative care doctors in Western Australia. Intern Med J. 2007;37(10): 693–698.
- , , , ; OSCAR Group. Sources of stress and burnout in acute psychiatric care: inpatient vs. community staff. Soc Psychiatry Psychiatr Epidemiol. 2007;42(10):794–802.
- , , . Physician burnout in Hungary: a potential role for work‐family conflict. J Health Psychol. 2008;13:847–856.
- , , , . Burn‐out in the dialysis unit. J Nephrol. 2008;21(suppl 13):S158–S162.
- . Career orientation and burnout in French general practitioners. Psychol Rep. 2008;103(3):875–881.
- , , . How healthy are Dutch general practitioners? Self‐reported (mental) health among Dutch general practitioners. Eur J Gen Pract. 2008;14(1):4–9.
- , , , et al. Insomnia and sleep quality among primary care physicians with low and high burnout levels. J Psychosom Res. 2008;64(4):435–442.
- , , , , , . Distress and burnout among genetic service providers. Genet Med. 2009;11(7):527–535.
- , , , et al. Burnout among psychiatrists in Milan: a multicenter survey. Psychiatr Serv. 2009;60(7):985–988.
- , , , et al. Association of an educational program in mindful communication with burnout, empathy, and attitudes among primary care physicians. JAMA. 2009;302(12): 1284–1293.
- , , , , , . Burnout in Belgrade orthopaedic surgeons and general practitioners, a preliminary report. Acta Chir Iugosl. 2009; 56(2):53–59.
- , , , . Secrets to psychological success: why older doctors might have lower psychological distress and burnout than younger doctors. Aging Ment Health. 2009;13(2):300–307.
- , , , et al. Career fit and burnout among academic faculty. Arch Intern Med. 2009;169(10):990–995.
- , , , , . Does burnout among doctors affect their involvement in patients' mental health problems? A study of videotaped consultations. BMC Fam Pract. 2009;10:60.
- , , , , , . Evaluation of burnout syndrome in oncology employees. Med Oncol. 2010;27(3):968–974.
- , , , , . Workrelated behavior and experience patterns and predictors of mental health in German physicians in medical practice. Fam Med. 2010; 42(6):433–439.
- , , , et al. Emotional exhaustion, life stress, and perceived control among medicine ward attending physicians: a randomized trial of 2‐ versus 4‐week ward rotations [abstract]. J Hosp Med. 2011; 6(4 suppl 2):S43–S44.
- , , , , , . The effort of being male: a survey on gender and burnout [in Italian]. Med Lav. 2011;102(3):286–296.
- , . Word related characteristics, work‐home and home‐work interference and burnout among primary healthcare physicians: a gender perspective in a Serbian context. BMC Public Health. 2011;11:716.
- , , , et al. Burnout and satisfaction with work‐life balance among US physicians relative to the general US population. Arch Intern Med. 2012;172(18):1377–1385.
- , , . Burnout syndrome in general hospital doctors. Eur J Psychiat. 1996;10:207–213.
- , , , , , . Relation between immune variables and burnout in a sample of physicians. Occup Environ Med. 2000;57(7):453–457.
- , , . Epuisement professionnel et consummation de psychotropes chez les medecins hospitaliers. Alcoologie et Addictologie. 2005;27(4):303–308.
- , , , , . Working conditions and Work‐Family Conflict in German hospital physicians: psychosocial and organisational predictors and consequences. BMC Public Health. 2008;8:353.
- . The Role of Empathy and Witnessed Aggression in Stress Reactions Among Staff Working in a Psychiatric Hospital [dissertation]. New Brunswick, NJ: Rutgers University; 2008.
- , , , , , . Burnout syndrome among Australian intensivists: a survey. Crit Care Resusc. 2008;10(4):312–315.
- , , , , , . Doctors' stress responses and poor communication performance in simulated bad‐news consultations. Acad Med. 2009;84(11):1595–1602.
- , . Role conflict, role ambiguity, and burnout in nurses and physicians at a university hospital in Turkey. Nurs Health Sci. 2009;11(4):410–416.
- . How much is geriatric caregivers burnout caring‐specific? Questions from a questionnaire survey. Clin Pract Epidemiol Ment Health. 2010;6:66–71.
- , , , , ; comite de pilotage de l'enquete SESMAT. Burnout in French doctors: a comparative study among anaesthesiologists and other specialists in French hospitals (SESMAT study) [in French]. Ann Fr Anesth Reanim. 2011;30(11):782–794.
- , , , , , . Career satisfaction and burnout in academic hospital medicine. Arch Intern Med. 2011;171(8):782–785.
- , , . High rates of burnout among maternal health staff at a referral hospital in Malawi: a cross‐sectional study. BMC Nurs. 2011;10:9.
- , , , et al. Suffering among careers working in critical care can be reduced by an intensive communication strategy on end‐of‐life practices. Intensive Care Med. 2012;38:55–61.
- , , . The prevalence of common mental disorders among hospital physicians and their association with self‐reported work ability: a cross‐sectional study. BMC Health Serv Res. 2012;12:292–298.
- , , , . Effort‐reward‐ratio and burnout risk among female teachers and hospital‐employed female physicians: a comparison between professions [in German]. Arbeitsmed Sozialmed Umweltmed. 2012;47:396–406.
- . Just because you can, doesn't mean that you should: a call for the rational application of hospitalist comanagement. J Hosp Med. 2008;3(5):398–402.
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- , , , , . Burn‐out of urologists in the county of Schleswig‐Holstein, Germany: a comparison of hospital and private practice urologists. J Urol. 2001;165(4): 1158–1161.
- , , , et al. Satisfaction and worklife of academic hospitalist and non‐hospitalist attendings on general medical inpatient rotations. J Gen Internal Med. 2006;21(S4):128.
- , , , , , ; SGIM Career Satisfaction Group. What effect does increasing inpatient time have on outpatient‐oriented internist satisfaction? J Gen Intern Med. 2003;18(9):725–729.
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- , , , , , . Job stress and satisfaction among palliative physicians. Palliat Med. 1996; 10(3):185–194.
- . Stress and burnout in junior doctors. S Afr Med J. 1994; 84(6):352–354.
- , . Work stress, satisfaction and burnout in New Zealand radiologists: comparison of public hospital and private practice in New Zealand. J Med Imaging Radiat Oncol. 2009;53(2):194–199.
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- , , , , . Prevalence of burnout among Swiss cancer clinicians, paediatricians and general practitioners: who are most at risk? Support Care Cancer. 2009;17(1): 75–81.
- , , , . Preparing for “diastole”: advanced training opportunities for academic hospitalists. J Hosp Med. 2006;1(6):368–377.
- , , , , , . Mental health, “burnout” and job satisfaction among hospital and community‐based mental health staff. Br J Psychiatry. 1996;169(3):334–337.
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- . Underpaid women, stressed out men, satisfied emergency physicians. Ann Emerg Med. 2008;51(6):729–731.
- , , , . U.S. physician satisfaction: a systematic review. J Hosp Med. 2009;4(9):560–568.
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- , , , . The Copenhagen Burnout Inventory: a new tool for the assessment of burnout. Work Stress. 2005;19(3):192–207.
- , . Handleiding van de Utrechtse Burnout Schaal (UBOS). Lisse, the Netherlands: Swets Test Services; 2000.
- . Alberta Physician Burnout [master's thesis]. Alberta, Canada: The University of Lethbridge; 2003.
- , . Arbeitsbezogenes Verhaltensund Erlebensmuster AVEM. Frankfurt, Germany: Swets Test Services; 2003.
- , , , . Internal construct validity of the Shirom‐Melamed Burnout Questionnaire (SMBQ). BMC Public Health. 2012;12:1.
- , , . Validation of a single‐item measure of burnout against the Maslach Burnout Inventory among physicians. Stress Health. 2004;20(2):75–79.
- , , , , . Characteristics and work experiences of hospitalists in the United States. Arch Intern Med. 2001;161(6):851–858.
- , . The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non‐randomised studies of health care interventions. J Epidemiol Community Health. 1998;52(6):377–384.
- , , , . Including nonrandomized studies. In: Higgins JPT, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions. Version 5.0.1. The Cochrane Collaboration; 2008. Available at: www.cochrane‐handbook. org. Accessed July 24, 2013.
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- , . Applications of estimating treatment effects in metaanalyses with missing data. Technical Report No. 2000‐25, 2000. Available at: http://statistics.stanford.edu/_ckirby/techreports/GEN/2000/2000‐25.pdf. Accessed July 22, 2013.
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- , . Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50(4):1088–1101.
- , , , et al. The PRISMA statement for reporting systematic reviews and meta‐analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009; 339:b2700.
- , , , , , . Job satisfaction and burnout in general practitioners [in Spanish]. Aten Primaria. 2003;31(4):227–233.
- , , . Burnout syndrome among health staff [in Spanish]. Rev Med Inst Mex Seguro Soc. 2006;44(3):221–226.
- , , , , , . Differences in psychological effects in hospital doctors with and without post‐traumatic stress disorder. Br J Psychiatry. 2008;193(2):165–166.
- , , , , . Crossing boundaries: family physicians' struggles to protect their private lives. Can Fam Physician. 2009;55(3):286–287.e5.
- , , , , , , et al. Emergency physicians accumulate more stress factors than other physicians: results from the French SESMAT study. Emerg Med J. 2011 May;28(5):397–410. Epub 2010 Dec 1.
- , , . Stress, burnout, and strategies for reducing them: what's the situation among Canadian family physicians? Can Fam Physician. 2008;54(2):234–235.
- , , , , . Worklife and satisfaction of hospitalists: toward flourishing careers. J Gen Intern Med. 2012;27(1):28–36.
- , , , , , , et al; MEMO (Minimizing Error, Maximizing Outcome) Investigators. Working conditions in primary care: physician reactions and care quality. Ann Intern Med. 2009 Jul 7;151(1):28–36.
- , , , , . Mental health of hospital consultants: the effects of stress and satisfaction at work. Lancet. 1996 Mar 16;347(9003):724–8.
- , , , . Burnout, psychiatric morbidity, and work‐related sources of stress in paediatric oncology staff: a review of the literature. Psycho‐Oncology. 2009 Oct;18(10):1019–28.
- , , , , . Health complaints and job stress in Norwegian physicians: the use of an overlapping questionnaire design. Soc Sci Med. 1997;45(11):1615–1629.
- , , , et al. Influence of perceived organisational factors on job burnout: survey of community mental health staff. Br J Psychiatry. 2009;195(6):537–544.
- . Frecuencia de los sintomas del syndrome de burnout en profesionales medicos. Rev Med Rosario. 2007;73:12–20.
- , , . Work‐related behaviour and experience patterns of physicians compared to other professions. Swiss Med Wkly. 2007;137(31‐32):448–453.
- , . Psychiatric morbidity and burnout in the medical profession: an Italian study of general practitioners and hospital physicians. Psychother Psychosom. 2000;69(6):329–334.
- , , . Duties of a doctor: UK doctors and good medical practice. Qual Health Care. 2000;9(1):14–22.
- , . The job related burnout questionnaire: a multinational pilot study. Aust Fam Physician. 2002;31(11):1055–1056.
- , , , , . Burn out among French general practitioners [in French]. Presse Med. 2004;33(22): 1569–1574.
- , , . Are burnout levels increasing? The experience of Israeli primary care physicians. Isr Med Assoc J. 2004; 6(8):451–455.
- , , , . Psychosocial and professional characteristics of burnout in Swiss primary care practitioners: a cross‐sectional survey. Swiss Med Wkly. 2005;135(7‐8):101–108.
- , , . Mental health in family doctors: effects of satisfaction and stress at work [in Spanish]. Rev Clin Esp. 2006;206(2):77–83.
- , , , , . The professional wearing down or syndrome of welfare labor stress (“burnout”) among health professionals in the city of Cordoba [in Spanish]. Rev Fac Cien Med Univ Nac Cordoba. 2006;63(1):18–25.
- , , . Predictors of burnout and job satisfaction among Turkish physicians. QJM. 2006;99(3):161–169.
- , , . Factors affecting burnout and compassion fatigue in psychotherapists treating torture survivors: is the therapist's attitude to working through trauma relevant? J Trauma Stress. 2007;20(1):63–75.
- , . Psychological morbidity and burnout in palliative care doctors in Western Australia. Intern Med J. 2007;37(10): 693–698.
- , , , ; OSCAR Group. Sources of stress and burnout in acute psychiatric care: inpatient vs. community staff. Soc Psychiatry Psychiatr Epidemiol. 2007;42(10):794–802.
- , , . Physician burnout in Hungary: a potential role for work‐family conflict. J Health Psychol. 2008;13:847–856.
- , , , . Burn‐out in the dialysis unit. J Nephrol. 2008;21(suppl 13):S158–S162.
- . Career orientation and burnout in French general practitioners. Psychol Rep. 2008;103(3):875–881.
- , , . How healthy are Dutch general practitioners? Self‐reported (mental) health among Dutch general practitioners. Eur J Gen Pract. 2008;14(1):4–9.
- , , , et al. Insomnia and sleep quality among primary care physicians with low and high burnout levels. J Psychosom Res. 2008;64(4):435–442.
- , , , , , . Distress and burnout among genetic service providers. Genet Med. 2009;11(7):527–535.
- , , , et al. Burnout among psychiatrists in Milan: a multicenter survey. Psychiatr Serv. 2009;60(7):985–988.
- , , , et al. Association of an educational program in mindful communication with burnout, empathy, and attitudes among primary care physicians. JAMA. 2009;302(12): 1284–1293.
- , , , , , . Burnout in Belgrade orthopaedic surgeons and general practitioners, a preliminary report. Acta Chir Iugosl. 2009; 56(2):53–59.
- , , , . Secrets to psychological success: why older doctors might have lower psychological distress and burnout than younger doctors. Aging Ment Health. 2009;13(2):300–307.
- , , , et al. Career fit and burnout among academic faculty. Arch Intern Med. 2009;169(10):990–995.
- , , , , . Does burnout among doctors affect their involvement in patients' mental health problems? A study of videotaped consultations. BMC Fam Pract. 2009;10:60.
- , , , , , . Evaluation of burnout syndrome in oncology employees. Med Oncol. 2010;27(3):968–974.
- , , , , . Workrelated behavior and experience patterns and predictors of mental health in German physicians in medical practice. Fam Med. 2010; 42(6):433–439.
- , , , et al. Emotional exhaustion, life stress, and perceived control among medicine ward attending physicians: a randomized trial of 2‐ versus 4‐week ward rotations [abstract]. J Hosp Med. 2011; 6(4 suppl 2):S43–S44.
- , , , , , . The effort of being male: a survey on gender and burnout [in Italian]. Med Lav. 2011;102(3):286–296.
- , . Word related characteristics, work‐home and home‐work interference and burnout among primary healthcare physicians: a gender perspective in a Serbian context. BMC Public Health. 2011;11:716.
- , , , et al. Burnout and satisfaction with work‐life balance among US physicians relative to the general US population. Arch Intern Med. 2012;172(18):1377–1385.
- , , . Burnout syndrome in general hospital doctors. Eur J Psychiat. 1996;10:207–213.
- , , , , , . Relation between immune variables and burnout in a sample of physicians. Occup Environ Med. 2000;57(7):453–457.
- , , . Epuisement professionnel et consummation de psychotropes chez les medecins hospitaliers. Alcoologie et Addictologie. 2005;27(4):303–308.
- , , , , . Working conditions and Work‐Family Conflict in German hospital physicians: psychosocial and organisational predictors and consequences. BMC Public Health. 2008;8:353.
- . The Role of Empathy and Witnessed Aggression in Stress Reactions Among Staff Working in a Psychiatric Hospital [dissertation]. New Brunswick, NJ: Rutgers University; 2008.
- , , , , , . Burnout syndrome among Australian intensivists: a survey. Crit Care Resusc. 2008;10(4):312–315.
- , , , , , . Doctors' stress responses and poor communication performance in simulated bad‐news consultations. Acad Med. 2009;84(11):1595–1602.
- , . Role conflict, role ambiguity, and burnout in nurses and physicians at a university hospital in Turkey. Nurs Health Sci. 2009;11(4):410–416.
- . How much is geriatric caregivers burnout caring‐specific? Questions from a questionnaire survey. Clin Pract Epidemiol Ment Health. 2010;6:66–71.
- , , , , ; comite de pilotage de l'enquete SESMAT. Burnout in French doctors: a comparative study among anaesthesiologists and other specialists in French hospitals (SESMAT study) [in French]. Ann Fr Anesth Reanim. 2011;30(11):782–794.
- , , , , , . Career satisfaction and burnout in academic hospital medicine. Arch Intern Med. 2011;171(8):782–785.
- , , . High rates of burnout among maternal health staff at a referral hospital in Malawi: a cross‐sectional study. BMC Nurs. 2011;10:9.
- , , , et al. Suffering among careers working in critical care can be reduced by an intensive communication strategy on end‐of‐life practices. Intensive Care Med. 2012;38:55–61.
- , , . The prevalence of common mental disorders among hospital physicians and their association with self‐reported work ability: a cross‐sectional study. BMC Health Serv Res. 2012;12:292–298.
- , , , . Effort‐reward‐ratio and burnout risk among female teachers and hospital‐employed female physicians: a comparison between professions [in German]. Arbeitsmed Sozialmed Umweltmed. 2012;47:396–406.
On heart failure and beta-blocker dosages
Getting the right therapeutic dose of any drug is not always easy. Using antibiotics to treat infection or antihypertensive drugs to lower blood pressure can be measured easily by simple physiologic measurements.
The treatment of heart failure with beta-blockers or ACE inhibitors, however, has been largely defined by clinical trials, which by their nature use one dosage and usually provide the clinician with limited information about the range of the best and most effective dosages. The rigor of choosing the correct dosage in clinical trials is often limited to small, underpowered phase II studies carried out well before the major phase III trials, which are designed to support efficacy and safety, usually at that one dosage. And still, physicians usually pick the lowest dose, following Hippocrates’ dictum to "do no harm." This dilemma has particular importance in picking the best dose of a beta-blocker in heart failure.
A recent presentation at the annual congress of the European Society of Cardiology by Dr. L. Brent Mitchell ("Full-dose beta-blockers still show benefit," October 2013, p. 26) sheds some important light on the benefit of maximum dosing with beta-blockers in heart failure patients treated with cardiac resynchronization therapy (CRT) or implantable cardiac defibrillators (ICDs) in whom bradycardia escape pacing was present.
Although all patients received standard drug therapy, patients receiving less than 50% of the full recommended dose of beta-blocker had a worse outcome in regard to mortality and rehospitalization when compared with patients receiving the full recommended dose, regardless of the beta-blocker used. Roughly one-half of these heart failure ICD/CRT patients were receiving less than half of the recommended dose for heart failure therapy. Older patients and those with more advance heart failure tended to receive the lower dose. In this patient population with pacemaker-controlled low heart rate, the issue of beta-blocker–induced bradycardia is no longer an issue: the higher the better.
In patients with atrial-controlled heart rates with sinus rhythm or atrial fibrillation, however, the induction of bradycardia has been an issue as physicians up-titrate dosages. The effect on morbidity and mortality of varying doses of metoprolol succinate (Toprol) was examined in the MERIT-HF trial (J. Am. Coll. Cardiol. 2002;40:491-8), in which physicians were encouraged to up-titrate to the highest dose. The limitation of up-titration was bradycardia. The high-dose (greater than 100 mg/day) and low-dose (100 mg/day or less) patients received 192 mg and 76 mg/day, respectively. Despite the different maximal doses, the final heart rate achieved with the up-titration was 68 beats/min. Patients receiving the high dose and low dose achieved the same relative benefit of therapy. The low-dose patient group was older and had a higher New York Heart Association functional class.
These observations suggest that there was a significant variability in the patient’s sensitivity to beta-blocker therapy, but the achievement of a low heart rate, regardless of dose, was effective in achieving the best therapeutic benefit. In a small dose-ranging study, patients were randomized to receive 50 or 200 mg/day of Toprol. The patients receiving 200 mg demonstrated an increase in ejection fraction and a decrease in end systolic volume, compared with the 50 mg–dose patients, who failed to evidence any hemodynamic improvement (Circulation 2007;116:49-56).
These observations emphasize the uncertainties of drug dosing in heart failure with our standard therapy. The benefit of high doses of beta-blockers in the ICD/CRT trial in patients whose heart rate was controlled with bradycardia pacing provides important support for the use of high doses in these individuals. In patients whose heart rate was controlled by atrial rhythms in the MERIT-HF trial, heart rate became the major limitation of drug therapy. In these patients, up-titration to maximal heart rate expressed the presence of a variable sensitivity to beta-blockade. The achievement of a slow heart rate, regardless of dose, appeared to achieve a similar benefit on heart failure outcomes.
Dr. Goldstein, medical editor of Cardiology News, is professor of medicine at Wayne State University and division head emeritus of cardiovascular medicine at Henry Ford Hospital, both in Detroit. He is on data safety monitoring committees for the National Institutes of Health and several pharmaceutical companies, and was the co-principal investigator of the MERIT-HF trial.
Getting the right therapeutic dose of any drug is not always easy. Using antibiotics to treat infection or antihypertensive drugs to lower blood pressure can be measured easily by simple physiologic measurements.
The treatment of heart failure with beta-blockers or ACE inhibitors, however, has been largely defined by clinical trials, which by their nature use one dosage and usually provide the clinician with limited information about the range of the best and most effective dosages. The rigor of choosing the correct dosage in clinical trials is often limited to small, underpowered phase II studies carried out well before the major phase III trials, which are designed to support efficacy and safety, usually at that one dosage. And still, physicians usually pick the lowest dose, following Hippocrates’ dictum to "do no harm." This dilemma has particular importance in picking the best dose of a beta-blocker in heart failure.
A recent presentation at the annual congress of the European Society of Cardiology by Dr. L. Brent Mitchell ("Full-dose beta-blockers still show benefit," October 2013, p. 26) sheds some important light on the benefit of maximum dosing with beta-blockers in heart failure patients treated with cardiac resynchronization therapy (CRT) or implantable cardiac defibrillators (ICDs) in whom bradycardia escape pacing was present.
Although all patients received standard drug therapy, patients receiving less than 50% of the full recommended dose of beta-blocker had a worse outcome in regard to mortality and rehospitalization when compared with patients receiving the full recommended dose, regardless of the beta-blocker used. Roughly one-half of these heart failure ICD/CRT patients were receiving less than half of the recommended dose for heart failure therapy. Older patients and those with more advance heart failure tended to receive the lower dose. In this patient population with pacemaker-controlled low heart rate, the issue of beta-blocker–induced bradycardia is no longer an issue: the higher the better.
In patients with atrial-controlled heart rates with sinus rhythm or atrial fibrillation, however, the induction of bradycardia has been an issue as physicians up-titrate dosages. The effect on morbidity and mortality of varying doses of metoprolol succinate (Toprol) was examined in the MERIT-HF trial (J. Am. Coll. Cardiol. 2002;40:491-8), in which physicians were encouraged to up-titrate to the highest dose. The limitation of up-titration was bradycardia. The high-dose (greater than 100 mg/day) and low-dose (100 mg/day or less) patients received 192 mg and 76 mg/day, respectively. Despite the different maximal doses, the final heart rate achieved with the up-titration was 68 beats/min. Patients receiving the high dose and low dose achieved the same relative benefit of therapy. The low-dose patient group was older and had a higher New York Heart Association functional class.
These observations suggest that there was a significant variability in the patient’s sensitivity to beta-blocker therapy, but the achievement of a low heart rate, regardless of dose, was effective in achieving the best therapeutic benefit. In a small dose-ranging study, patients were randomized to receive 50 or 200 mg/day of Toprol. The patients receiving 200 mg demonstrated an increase in ejection fraction and a decrease in end systolic volume, compared with the 50 mg–dose patients, who failed to evidence any hemodynamic improvement (Circulation 2007;116:49-56).
These observations emphasize the uncertainties of drug dosing in heart failure with our standard therapy. The benefit of high doses of beta-blockers in the ICD/CRT trial in patients whose heart rate was controlled with bradycardia pacing provides important support for the use of high doses in these individuals. In patients whose heart rate was controlled by atrial rhythms in the MERIT-HF trial, heart rate became the major limitation of drug therapy. In these patients, up-titration to maximal heart rate expressed the presence of a variable sensitivity to beta-blockade. The achievement of a slow heart rate, regardless of dose, appeared to achieve a similar benefit on heart failure outcomes.
Dr. Goldstein, medical editor of Cardiology News, is professor of medicine at Wayne State University and division head emeritus of cardiovascular medicine at Henry Ford Hospital, both in Detroit. He is on data safety monitoring committees for the National Institutes of Health and several pharmaceutical companies, and was the co-principal investigator of the MERIT-HF trial.
Getting the right therapeutic dose of any drug is not always easy. Using antibiotics to treat infection or antihypertensive drugs to lower blood pressure can be measured easily by simple physiologic measurements.
The treatment of heart failure with beta-blockers or ACE inhibitors, however, has been largely defined by clinical trials, which by their nature use one dosage and usually provide the clinician with limited information about the range of the best and most effective dosages. The rigor of choosing the correct dosage in clinical trials is often limited to small, underpowered phase II studies carried out well before the major phase III trials, which are designed to support efficacy and safety, usually at that one dosage. And still, physicians usually pick the lowest dose, following Hippocrates’ dictum to "do no harm." This dilemma has particular importance in picking the best dose of a beta-blocker in heart failure.
A recent presentation at the annual congress of the European Society of Cardiology by Dr. L. Brent Mitchell ("Full-dose beta-blockers still show benefit," October 2013, p. 26) sheds some important light on the benefit of maximum dosing with beta-blockers in heart failure patients treated with cardiac resynchronization therapy (CRT) or implantable cardiac defibrillators (ICDs) in whom bradycardia escape pacing was present.
Although all patients received standard drug therapy, patients receiving less than 50% of the full recommended dose of beta-blocker had a worse outcome in regard to mortality and rehospitalization when compared with patients receiving the full recommended dose, regardless of the beta-blocker used. Roughly one-half of these heart failure ICD/CRT patients were receiving less than half of the recommended dose for heart failure therapy. Older patients and those with more advance heart failure tended to receive the lower dose. In this patient population with pacemaker-controlled low heart rate, the issue of beta-blocker–induced bradycardia is no longer an issue: the higher the better.
In patients with atrial-controlled heart rates with sinus rhythm or atrial fibrillation, however, the induction of bradycardia has been an issue as physicians up-titrate dosages. The effect on morbidity and mortality of varying doses of metoprolol succinate (Toprol) was examined in the MERIT-HF trial (J. Am. Coll. Cardiol. 2002;40:491-8), in which physicians were encouraged to up-titrate to the highest dose. The limitation of up-titration was bradycardia. The high-dose (greater than 100 mg/day) and low-dose (100 mg/day or less) patients received 192 mg and 76 mg/day, respectively. Despite the different maximal doses, the final heart rate achieved with the up-titration was 68 beats/min. Patients receiving the high dose and low dose achieved the same relative benefit of therapy. The low-dose patient group was older and had a higher New York Heart Association functional class.
These observations suggest that there was a significant variability in the patient’s sensitivity to beta-blocker therapy, but the achievement of a low heart rate, regardless of dose, was effective in achieving the best therapeutic benefit. In a small dose-ranging study, patients were randomized to receive 50 or 200 mg/day of Toprol. The patients receiving 200 mg demonstrated an increase in ejection fraction and a decrease in end systolic volume, compared with the 50 mg–dose patients, who failed to evidence any hemodynamic improvement (Circulation 2007;116:49-56).
These observations emphasize the uncertainties of drug dosing in heart failure with our standard therapy. The benefit of high doses of beta-blockers in the ICD/CRT trial in patients whose heart rate was controlled with bradycardia pacing provides important support for the use of high doses in these individuals. In patients whose heart rate was controlled by atrial rhythms in the MERIT-HF trial, heart rate became the major limitation of drug therapy. In these patients, up-titration to maximal heart rate expressed the presence of a variable sensitivity to beta-blockade. The achievement of a slow heart rate, regardless of dose, appeared to achieve a similar benefit on heart failure outcomes.
Dr. Goldstein, medical editor of Cardiology News, is professor of medicine at Wayne State University and division head emeritus of cardiovascular medicine at Henry Ford Hospital, both in Detroit. He is on data safety monitoring committees for the National Institutes of Health and several pharmaceutical companies, and was the co-principal investigator of the MERIT-HF trial.