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Outcomes after 2011 Residency Reform
The Accreditation Council for Graduate Medical Education (ACGME) Common Program Requirements implemented in July 2011 increased supervision requirements and limited continuous work hours for first‐year residents.[1] Similar to the 2003 mandates, these requirements were introduced to improve patient safety and education at academic medical centers.[2] Work‐hour reforms have been associated with decreased resident burnout and improved sleep.[3, 4, 5] However, national observational studies and systematic reviews of the impact of the 2003 reforms on patient safety and quality of care have been varied in terms of outcome.[6, 7, 8, 9, 10] Small studies of the 2011 recommendations have shown increased sleep duration and decreased burnout, but also an increased number of handoffs and increased resident concerns about making a serious medical error.[11, 12, 13, 14] Although national surveys of residents and program directors have not indicated improvements in education or quality of life, 1 observational study did show improvement in clinical exposure and conference attendance.[15, 16, 17, 18] The impact of the 2011 reforms on patient safety remains unclear.[19, 20]
The objective of this study was to evaluate the association between implementation of the 2011 residency work‐hour mandates and patient safety outcomes at a large academic medical center.
METHODS
Study Design
This observational study used a quasi‐experimental difference‐in‐differences approach to evaluate whether residency work‐hour changes were associated with patient safety outcomes among general medicine inpatients. We compared safety outcomes among adult patients discharged from resident general medical services (referred to as resident) to safety outcomes among patients discharged by the hospitalist general medical service (referred to as hospitalist) before and after the 2011 residency work‐hour reforms at a large academic medical center. Differences in outcomes for the resident group were compared to differences observed in the hospitalist group, with adjustment for relevant demographic and case mix factors.[21] We used the hospitalist service as a control group, because ACGME changes applied only to resident services. The strength of this design is that it controls for secular trends that are correlated with patient safety, impacting both residents and hospitalists similarly.[9]
Approval for this study and a Health Insurance Portability and Accountability Act waiver were granted by the Johns Hopkins University School of Medicine institutional review board. We retrospectively examined administrative data on all patient discharges from the general medicine services at Johns Hopkins Hospital between July 1, 2008 and June 30, 2012 that were identified as pertaining to resident or hospitalist services.
Patient Allocation and Physician Scheduling
Patient admission to the resident or hospitalist service was decided by a number of factors. To maintain continuity of care, patients were preferentially admitted to the same service as for prior admissions. New patients were admitted to a service based on bed availability, nurse staffing, patient gender, isolation precautions, and cardiac monitor availability.
The inpatient resident services were staffed prior to July 2011 using a traditional 30‐hour overnight call system. Following July 2011, the inpatient resident services were staffed using a modified overnight call system, in which interns took overnight calls from 8 pm until 12 pm the following day, once every 5 nights with supervision by upper‐level residents. These interns rotated through daytime admitting and coverage roles on the intervening days. The hospitalist service was organized into a 3‐physician rotation of day shift, evening shift, and overnight shift.
Data and Outcomes
Twenty‐nine percent of patients in the sample were admitted more than once during the study period, and patients were generally admitted to the same resident team during each admission. Patients with multiple admissions were counted multiple times in the model. We categorized admissions as prereform (July 1, 2008June 30, 2011) and postreform (July 1, 2011June 30, 2012). Outcomes evaluated included hospital length of stay, 30‐day readmission, intensive care unit stay (ICU) stay, inpatient mortality, and number of Maryland Hospital Acquired Conditions (MHACs). ICU stay pertained to any ICU admission including initial admission and transfer from the inpatient floor. MHACs are a set of inpatient performance indicators derived from a list of 64 inpatient Potentially Preventable Complications developed by 3M Health Information Systems.[22] MHACs are used by the Maryland Health Services Cost Review Commission to link hospital payment to performance for costly, preventable, and clinically relevant complications. MHACs were coded in our analysis as a dichotomous variable. Independent variables included patient age at admission, race, gender, and case mix index. Case mix index (CMI) is a numeric score that measures resource utilization for a specific patient population. CMI is a weighted value assigned to patients based on resource utilization and All Patient Refined Diagnostic Related Group and was included as an indicator of patient illness severity and risk of mortality.[23] Data were obtained from administrative records from the case mix research team at Johns Hopkins Medicine.
To account for transitional differences that may have coincided with the opening of a new hospital wing in late April 2012, we conducted a sensitivity analysis, in which we excluded from analysis any visits that took place in May 2012 to June 2012.
Data Analysis
Based on historical studies, we calculated that a sample size of at least 3600 discharges would allow us to detect a difference of 5% between the pre‐ and postreform period assuming baseline 20% occurrence of dichotomous outcomes (=0.05; =0.2; r=4).[21]
The primary unit of analysis was the hospital discharge. Similar to Horwitz et al., we analyzed data using a difference‐in‐differences estimation strategy.[21] We used multivariable linear regression for length of stay measured as a continuous variable, and multivariable logistic regression for inpatient mortality, 30‐day readmission, MHACs coded as a dichotomous variable, and ICU stay coded as a dichotomous variable.[9] The difference‐in‐differences estimation was used to determine whether the postreform period relative to prereform period was associated with differences in outcomes comparing resident and hospitalist services. In the regression models, the independent variables of interest included an indicator variable for whether a patient was treated on a resident service, an indicator variable for whether a patient was discharged in the postreform period, and the interaction of these 2 variables (resident*postreform). The interaction term can be interpreted as a differential change over time comparing resident and hospitalist services. In all models, we adjusted for patient age, gender, race, and case mix index.
To determine whether prereform trends were similar among the resident and hospitalist services, we performed a test of controls as described by Volpp and colleagues.[6] Interaction terms for resident service and prereform years 2010 and 2011 were added to the model. A Wald test was then used to test for improved model fit, which would indicate differential trends among resident and hospitalist services during the prereform period. Where such trends were found, postreform results were compared only to 2011 rather than the 2009 to 2011 prereform period.[6]
To account for correlation within patients who had multiple discharges, we used a clustering approach and estimated robust variances.[24] From the regression model results, we calculated predicted probabilities adjusted for relevant covariates and prepost differences, and used linear probability models to estimate percentage‐point differences in outcomes, comparing residents and hospitalists in the pre‐ and postreform periods.[25] All analyses were performed using Stata/IC version 11 (StataCorp, College Station, TX).
RESULTS
In the 3 years before the 2011 residency work‐hour reforms were implemented (prereform), there were a total of 15,688 discharges for 8983 patients to the resident services and 4622 discharges for 3649 patients to the hospitalist services. In the year following implementation of residency work‐hour changes (postreform), there were 5253 discharges for 3805 patients to the resident services and 1767 discharges for 1454 patients to the hospitalist service. Table 1 shows the characteristics of patients discharged from the resident and hospitalist services in the pre‐ and postreform periods. Patients discharged from the resident services were more likely to be older, male, African American, and have a higher CMI.
| Resident Services | Hospitalist Service | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 2009 | 2010 | 2011 | 2012 | 2009 | 2010 | 2011 | 2012 | P Valuea | |
| |||||||||
| Discharges, n | 5345 | 5299 | 5044 | 5253 | 1366 | 1492 | 1764 | 1767 | |
| Unique patients, n | 3082 | 2968 | 2933 | 3805 | 1106 | 1180 | 1363 | 1454 | |
| Age, y, mean (SD) | 55.1 (17.7) | 55.7 (17.4) | 56.4 (17.9) | 56.7 (17.1) | 55.9 (17.9) | 56.2 (18.4) | 55.5 (18.8) | 54 (18.7) | 0.02 |
| Sex male, n (%) | 1503 (48.8) | 1397 (47.1) | 1432 (48.8) | 1837 (48.3) | 520 (47) | 550 (46.6) | 613 (45) | 654 (45) | <0.01 |
| Race | |||||||||
| African American, n (%) | 2072 (67.2) | 1922 (64.8) | 1820 (62.1) | 2507 (65.9) | 500 (45.2) | 592 (50.2) | 652 (47.8) | 747 (51.4) | <0.01 |
| White, n (%) | 897 (29.1) | 892 (30.1) | 957 (32.6) | 1118 (29.4) | 534 (48.3) | 527 (44.7) | 621 (45.6) | 619 (42.6) | |
| Asian, n (%) | 19 (.6%) | 35 (1.2) | 28 (1) | 32 (.8) | 11 (1) | 7 (.6) | 25 (1.8) | 12 (.8) | |
| Other, n (%) | 94 (3.1) | 119 (4) | 128 (4.4) | 148 (3.9) | 61 (5.5) | 54 (4.6) | 65 (4.8) | 76 (5.2) | |
| Case mix index, mean (SD) | 1.2 (1) | 1.1 (0.9) | 1.1 (0.9) | 1.1 (1.2) | 1.2 (1) | 1.1 (1) | 1.1 (1) | 1 (0.7) | <0.01 |
Differences in Outcomes Among Resident and Hospitalist Services Pre‐ and Postreform
Table 2 shows unadjusted results. Patients discharged from the resident services in the postreform period as compared to the prereform period had a higher likelihood of an ICU stay (5.9% vs 4.5%, P<0.01), and lower likelihood of 30‐day readmission (17.1% vs 20.1%, P<0.01). Patients discharged from the hospitalist service in the postreform period as compared to the prereform period had a significantly shorter mean length of stay (4.51 vs 4.88 days, P=0.03)
| Resident Services | Hospitalist Service | |||||
|---|---|---|---|---|---|---|
| Outcome | Prereforma | Postreform | P Value | Prereforma | Postreform | P Value |
| ||||||
| Length of stay (mean) | 4.55 (5.39) | 4.50 (5.47) | 0.61 | 4.88 (5.36) | 4.51 (4.64) | 0.03 |
| Any ICU stay (%) | 225 (4.5%) | 310 (5.9%) | <0.01 | 82 (4.7%) | 83 (4.7%) | 0.95 |
| Any MHACs (%) | 560 (3.6%) | 180 (3.4%) | 0.62 | 210 (4.5%) | 64 (3.6%) | 0.09 |
| Readmit in 30 days (%) | 3155 (20.1%) | 900 (17.1%) | <0.01 | 852 (18.4%) | 296 (16.8%) | 0.11 |
| Inpatient mortality (%) | 71 (0.5%) | 28 (0.5%) | 0.48 | 18 (0.4%) | 7 (0.4%) | 0.97 |
Table 3 presents the results of regression analyses examining correlates of patient safety outcomes, adjusted for age, gender, race, and CMI. As the test of controls indicated differential prereform trends for ICU admission and length of stay, the prereform period was limited to 2011 for these outcomes. After adjustment for covariates, the probability of an ICU stay remained greater, and the 30‐day readmission rate was lower among patients discharged from resident services in the postreform period than the prereform period. Among patients discharged from the hospitalist services, there were no significant differences in length of stay, readmissions, ICU admissions, MHACs, or inpatient mortality comparing the pre‐ and postreform periods.
| Resident Services | Hospitalist Service | Difference in Differences | |||||
|---|---|---|---|---|---|---|---|
| Outcome | Prereforma | Postreform | Difference | Prereform | Postreform | Difference | (ResidentHospitalist) |
| |||||||
| ICU stay | 4.5% (4.0% to 5.1%) | 5.7% (5.1% to 6.3%) | 1.4% (0.5% to 2.2%) | 4.4% (3.5% to 5.3%) | 5.3% (4.3% to 6.3%) | 1.1% (0.2 to 2.4%) | 0.3% (1.1% to 1.8%) |
| Inpatient mortality | 0.5% (0.4% to 0.6%) | 0.5% (0.3% to 0.7%) | 0 (0.2% to 0.2%) | 0.3% (0.2% to 0.6%) | 0.5% (0.1% to 0.8%) | 0.1% (0.3% to 0.5%) | 0.1% (0.5% to 0.3%) |
| MHACs | 3.6% (3.3% to 3.9%) | 3.3% (2.9% to 3.7%) | 0.4% (0.9 to 0.2%) | 4.5% (3.9% to 5.1%) | 4.1% (3.2% to 5.1%) | 0.3% (1.4% to 0.7%) | 0.2% (1.0% to 1.3%) |
| Readmit 30 days | 20.1% (19.1% to 21.1%) | 17.2% (15.9% to 18.5%) | 2.8% (4.3% to 1.3%) | 18.4% (16.5% to 20.2%) | 16.6% (14.7% to 18.5%) | 1.7% (4.1% to 0.8%) | 1.8% (0.2% to 3.7%) |
| Length of stay | 4.6 (4.4 to 4.7) | 4.4 (4.3 to 4.6) | 0.1 (0.3 to 0.1) | 4.9 (4.6 to 5.1) | 4.7 (4.5 to 5.0) | 0.1 (0.4 to 0.2) | 0.01 (0.37 to 0.34) |
Differences in Outcomes Comparing Resident and Hospitalist Services Pre‐ and Postreform
Comparing pre‐ and postreform periods in the resident and hospitalist services, there were no significant differences in ICU admission, length of stay, MHACs, 30‐day readmissions, or inpatient mortality. In the sensitivity analysis, in which we excluded all discharges in May 2012 to June 2012, results were not significantly different for any of the outcomes examined.
DISCUSSION
Using difference‐in‐differences estimation, we evaluated whether the implementation of the 2011 residency work‐hour mandate was associated with differences in patient safety outcomes including length of stay, 30‐day readmission, inpatient mortality, MHACs, and ICU admissions comparing resident and hospitalist services at a large academic medical center. Adjusting for patient age, race, gender, and clinical complexity, we found no significant changes in any of the patient safety outcomes indicators in the postreform period comparing resident to hospitalist services.
Our quasiexperimental study design allowed us to gauge differences in patient safety outcomes, while reducing bias due to unmeasured confounders that might impact patient safety indicators.[9] We were able to examine all discharges from the resident and hospitalist general medicine services during the academic years 2009 to 2012, while adjusting for age, race, gender, and clinical complexity. Though ICU admission was higher and readmission rates were lower on the resident services post‐2011, we did not observe a significant difference in ICU admission or 30‐day readmission rates in the postreform period comparing patients discharged from the resident and hospitalist services and all patients in the prereform period.
Our neutral findings differ from some other single‐institution evaluations of reduced resident work hours, several of which have shown improved quality of life, education, and patient safety indicators.[18, 21, 26, 27, 28] It is unclear why improvements in patient safety were not identified in the current study. The 2011 reforms were more broad‐based than some of the preliminary studies of reduced work hours, and therefore additional variables may be at play. For instance, challenges related to decreased work hours, including the increased number of handoffs in care and work compression, may require specific interventions to produce sustained improvements in patient safety.[3, 14, 29, 30]
Improving patient safety requires more than changing resident work hours. Blum et al. recommended enhanced funding to increase supervision, decrease resident caseload, and incentivize achievement of quality indicators to achieve the goal of improved patient safety within work‐hour reform.[31] Schumacher et al. proposed a focus on supervision, professionalism, safe transitions of care, and optimizing workloads as a means to improve patient safety and education within the new residency training paradigm.[29]
Limitations of this study include limited follow‐up time after implementation of the work‐hour reforms. It may take more time to optimize systems of care to see benefits in patient safety indicators. This was a single‐institution study of a limited number of outcomes in a single department, which limits generalizability and may reflect local experience rather than broader trends. The call schedule on the resident service in this study differs from programs that have adopted night float schedules. [27] This may have had an effect on patient care outcomes.[32] In an attempt to conduct a timely study of inpatient safety indicators following the 2011 changes, our study was not powered to detect small changes in low‐frequency outcomes such as mortality; longer‐term studies at multiple institutions will be needed to answer these key questions. We limited the prereform period where our test of controls indicated differential prereform trends, which reduced power.
As this was an observational study rather than an experiment, there may have been both measured and unmeasured differences in patient characteristics and comorbidity between the intervention and control group. For example, CMI was lower on the hospitalist service than the resident services. Demographics varied somewhat between services; male and African American patients were more likely to be discharged from resident services than hospitalist services for unknown reasons. Although we adjusted for demographics and CMI in our model, there may be residual confounding. Limitations in data collection did not allow us to separate patients initially admitted to the ICU from patients transferred to the ICU from the inpatient floors. We attempted to overcome this limitation through use of a difference‐in‐differences model to account for secular trends, but factors other than residency work hours may have impacted the resident and hospitalist services differentially. For example, hospital quality‐improvement programs or provider‐level factors may have differentially impacted the resident versus hospitalist services during the study period.
Work‐hour limitations for residents were established to improve residency education and patient safety. As noted by the Institute of Medicine, improving patient safety will require significant investment by program directors, hospitals, and the public to keep resident caseloads manageable, ensure adequate supervision of first‐year residents, train residents on safe handoffs in care, and conduct ongoing evaluations of patient safety and any unintended consequences of the regulations.[33] In the first year after implementation of the 2011 work‐hour reforms, we found no change in ICU admission, inpatient mortality, 30‐day readmission rates, length of stay, or MHACs compared with patients treated by hospitalists. Studies of the long‐term impact of residency work‐hour reform are necessary to determine whether changes in work hours have been associated with improvement in resident education and patient safety.
Disclosure: Nothing to report.
- Accreditation Council for Graduate Medical Education. Common program requirements effective: July 1, 2011. Available at: http://www.acgme.org/acgmeweb/Portals/0/PFAssets/ProgramResources/Common_Program_Requirements_07012011[1].pdf. Accessed February 10, 2014.
- , , . The new recommendations on duty hours from the ACGME Task Force. N Engl J Med. 2010;363:e3.
- , , , , . Interns' compliance with Accreditation Council for Graduate Medical Education work‐hour limits. JAMA. 2006;296(9):1063–1070.
- , , , , , . Effects of work hour reduction on residents' lives: a systematic review. JAMA. 2005;294(9):1088–1100.
- , , , et al. Effects of the ACGME duty hour limits on sleep, work hours, and safety. Pediatrics. 2008;122(2):250–258.
- , , . Teaching hospital five‐year mortality trends in the wake of duty hour reforms. J Gen Intern Med. 2013;28(8):1048–1055.
- , , , . Duty hour limits and patient care and resident outcomes: can high‐quality studies offer insight into complex relationships? Ann Rev Med. 2013;64:467–483.
- , , . Patient safety, resident education and resident well‐being following implementation of the 2003 ACGME duty hour rules. J Gen Intern Med. 2011;26(8):907–919.
- , , , et al. Mortality among hospitalized Medicare beneficiaries in the first 2 years following ACGME resident duty hour reform. JAMA. 2007;298(9):975–983.
- , , , et al. Effects of resident duty hour reform on surgical and procedural patient safety indicators among hospitalized Veterans Health Administration and Medicare patients. Med Care. 2009;47(7):723–731.
- , , , et al. Pilot trial of IOM duty hour recommendations in neurology residency programs. Neurology. 2011;77(9):883–887.
- , , , et al. Effect of 16‐hour duty periods of patient care and resident education. Mayo Clin Proc. 2011;86:192–196.
- , , , et al. Effects of the 2011 duty hour reforms on interns and their patients: a prospective longitudinal cohort study. JAMA Intern Med. 2013;173(8):657–662.
- , , , et al. Effect of the 2011 vs 2003 duty hour regulation—compliant models on sleep duration, trainee education, and continuity of patient care among internal medicine house staff. JAMA Intern Med. 2013;173(8):649–655.
- , , . Residents' response to duty‐hour regulations—a follow‐up national survey. N Engl J Med. 2012;366:e35.
- , , , . Surgical residents' perceptions of 2011 Accreditation Council for Graduate Medical Education duty hour regulations. JAMA Surg. 2013;148(5):427–433.
- , , . The 2011 duty hour requirements—a survey of residency program directors. N Engl J Med. 2013;368:694–697.
- , , , et al. The effect of reducing maximum shift lengths to 16 hours on internal medicine interns' educational opportunities. Acad Med. 2013;88(4):512–518.
- , . Residency work‐hours reform. A cost analysis including preventable adverse events. J Gen Intern Med. 2005;20(10):873–878.
- , , , , . Cost implications of reduced work hours and workloads for resident physicians. N Engl J Med. 2009;360:2202–2215.
- , , , . Changes in outcomes for internal medicine inpatients after work‐hour regulations. Ann Intern Med. 2007;147:97–103.
- .Maryland Health Services Cost Review Commission. Complications: Maryland Hospital Acquired Conditions. Available at: http://www.hscrc.state.md.us/init_qi_MHAC.cfm. Accessed May 23, 2013.
- , , , et al. What are APR‐DRGs? An introduction to severity of illness and risk of mortality adjustment methodology. 3M Health Information Systems. Available at: http://solutions.3m.com/3MContentRetrievalAPI/BlobServlet?locale=it_IT44(4):1049–1060.
- , , , , . Impact of the 2008 US Preventive Services Task Force Recommendation to discontinue prostate cancer screening among male Medicare beneficiaries. Arch Intern Med. 2012;172(20):1601–1603.
- , , , et al. Effect of reducing interns' work hour on serious medical errors in intensive care units. N Engl J Med. 2004;351(18):1838–1848.
- , , . Effects of reducing or eliminating resident work shifts over 16 hours: a systematic review. Sleep. 2010;33(8):1043–1053.
- , , , et al. Impact of duty hours restrictions on quality of care and clinical outcomes. Am J Med. 2007;120(11):968–974.
- , , , , , . Beyond counting hours: the importance of supervision, professionalism, transitions in care, and workload in residency training. Acad Med. 2012;87(7):883–888.
- , , , , , . One possible future for resident hours: interns' perspective on a one‐month trial of the Institute of Medicine recommended duty hour limits. J Grad Med Educ. 2009;1(2):185–187.
- , , , , . Implementing the 2009 Institute of Medicine recommendations on resident physician work hours, supervision, and safety. Nature Sci Sleep. 2001;3:47–85.
- , . Night float teaching and learning: perceptions of residents and faculty. J Grad Med Educ. 2010;2(2):236–241.
- Institute of Medicine. Resident duty hours: enhancing sleep, supervision, and safety. Report brief. Washington, DC: National Academies; 2008. Available at: http://www.iom.edu/∼/media/Files/Report Files/2008/Resident‐Duty‐Hours/residency hours revised for web.pdf. Accessed May 23, 2013.
The Accreditation Council for Graduate Medical Education (ACGME) Common Program Requirements implemented in July 2011 increased supervision requirements and limited continuous work hours for first‐year residents.[1] Similar to the 2003 mandates, these requirements were introduced to improve patient safety and education at academic medical centers.[2] Work‐hour reforms have been associated with decreased resident burnout and improved sleep.[3, 4, 5] However, national observational studies and systematic reviews of the impact of the 2003 reforms on patient safety and quality of care have been varied in terms of outcome.[6, 7, 8, 9, 10] Small studies of the 2011 recommendations have shown increased sleep duration and decreased burnout, but also an increased number of handoffs and increased resident concerns about making a serious medical error.[11, 12, 13, 14] Although national surveys of residents and program directors have not indicated improvements in education or quality of life, 1 observational study did show improvement in clinical exposure and conference attendance.[15, 16, 17, 18] The impact of the 2011 reforms on patient safety remains unclear.[19, 20]
The objective of this study was to evaluate the association between implementation of the 2011 residency work‐hour mandates and patient safety outcomes at a large academic medical center.
METHODS
Study Design
This observational study used a quasi‐experimental difference‐in‐differences approach to evaluate whether residency work‐hour changes were associated with patient safety outcomes among general medicine inpatients. We compared safety outcomes among adult patients discharged from resident general medical services (referred to as resident) to safety outcomes among patients discharged by the hospitalist general medical service (referred to as hospitalist) before and after the 2011 residency work‐hour reforms at a large academic medical center. Differences in outcomes for the resident group were compared to differences observed in the hospitalist group, with adjustment for relevant demographic and case mix factors.[21] We used the hospitalist service as a control group, because ACGME changes applied only to resident services. The strength of this design is that it controls for secular trends that are correlated with patient safety, impacting both residents and hospitalists similarly.[9]
Approval for this study and a Health Insurance Portability and Accountability Act waiver were granted by the Johns Hopkins University School of Medicine institutional review board. We retrospectively examined administrative data on all patient discharges from the general medicine services at Johns Hopkins Hospital between July 1, 2008 and June 30, 2012 that were identified as pertaining to resident or hospitalist services.
Patient Allocation and Physician Scheduling
Patient admission to the resident or hospitalist service was decided by a number of factors. To maintain continuity of care, patients were preferentially admitted to the same service as for prior admissions. New patients were admitted to a service based on bed availability, nurse staffing, patient gender, isolation precautions, and cardiac monitor availability.
The inpatient resident services were staffed prior to July 2011 using a traditional 30‐hour overnight call system. Following July 2011, the inpatient resident services were staffed using a modified overnight call system, in which interns took overnight calls from 8 pm until 12 pm the following day, once every 5 nights with supervision by upper‐level residents. These interns rotated through daytime admitting and coverage roles on the intervening days. The hospitalist service was organized into a 3‐physician rotation of day shift, evening shift, and overnight shift.
Data and Outcomes
Twenty‐nine percent of patients in the sample were admitted more than once during the study period, and patients were generally admitted to the same resident team during each admission. Patients with multiple admissions were counted multiple times in the model. We categorized admissions as prereform (July 1, 2008June 30, 2011) and postreform (July 1, 2011June 30, 2012). Outcomes evaluated included hospital length of stay, 30‐day readmission, intensive care unit stay (ICU) stay, inpatient mortality, and number of Maryland Hospital Acquired Conditions (MHACs). ICU stay pertained to any ICU admission including initial admission and transfer from the inpatient floor. MHACs are a set of inpatient performance indicators derived from a list of 64 inpatient Potentially Preventable Complications developed by 3M Health Information Systems.[22] MHACs are used by the Maryland Health Services Cost Review Commission to link hospital payment to performance for costly, preventable, and clinically relevant complications. MHACs were coded in our analysis as a dichotomous variable. Independent variables included patient age at admission, race, gender, and case mix index. Case mix index (CMI) is a numeric score that measures resource utilization for a specific patient population. CMI is a weighted value assigned to patients based on resource utilization and All Patient Refined Diagnostic Related Group and was included as an indicator of patient illness severity and risk of mortality.[23] Data were obtained from administrative records from the case mix research team at Johns Hopkins Medicine.
To account for transitional differences that may have coincided with the opening of a new hospital wing in late April 2012, we conducted a sensitivity analysis, in which we excluded from analysis any visits that took place in May 2012 to June 2012.
Data Analysis
Based on historical studies, we calculated that a sample size of at least 3600 discharges would allow us to detect a difference of 5% between the pre‐ and postreform period assuming baseline 20% occurrence of dichotomous outcomes (=0.05; =0.2; r=4).[21]
The primary unit of analysis was the hospital discharge. Similar to Horwitz et al., we analyzed data using a difference‐in‐differences estimation strategy.[21] We used multivariable linear regression for length of stay measured as a continuous variable, and multivariable logistic regression for inpatient mortality, 30‐day readmission, MHACs coded as a dichotomous variable, and ICU stay coded as a dichotomous variable.[9] The difference‐in‐differences estimation was used to determine whether the postreform period relative to prereform period was associated with differences in outcomes comparing resident and hospitalist services. In the regression models, the independent variables of interest included an indicator variable for whether a patient was treated on a resident service, an indicator variable for whether a patient was discharged in the postreform period, and the interaction of these 2 variables (resident*postreform). The interaction term can be interpreted as a differential change over time comparing resident and hospitalist services. In all models, we adjusted for patient age, gender, race, and case mix index.
To determine whether prereform trends were similar among the resident and hospitalist services, we performed a test of controls as described by Volpp and colleagues.[6] Interaction terms for resident service and prereform years 2010 and 2011 were added to the model. A Wald test was then used to test for improved model fit, which would indicate differential trends among resident and hospitalist services during the prereform period. Where such trends were found, postreform results were compared only to 2011 rather than the 2009 to 2011 prereform period.[6]
To account for correlation within patients who had multiple discharges, we used a clustering approach and estimated robust variances.[24] From the regression model results, we calculated predicted probabilities adjusted for relevant covariates and prepost differences, and used linear probability models to estimate percentage‐point differences in outcomes, comparing residents and hospitalists in the pre‐ and postreform periods.[25] All analyses were performed using Stata/IC version 11 (StataCorp, College Station, TX).
RESULTS
In the 3 years before the 2011 residency work‐hour reforms were implemented (prereform), there were a total of 15,688 discharges for 8983 patients to the resident services and 4622 discharges for 3649 patients to the hospitalist services. In the year following implementation of residency work‐hour changes (postreform), there were 5253 discharges for 3805 patients to the resident services and 1767 discharges for 1454 patients to the hospitalist service. Table 1 shows the characteristics of patients discharged from the resident and hospitalist services in the pre‐ and postreform periods. Patients discharged from the resident services were more likely to be older, male, African American, and have a higher CMI.
| Resident Services | Hospitalist Service | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 2009 | 2010 | 2011 | 2012 | 2009 | 2010 | 2011 | 2012 | P Valuea | |
| |||||||||
| Discharges, n | 5345 | 5299 | 5044 | 5253 | 1366 | 1492 | 1764 | 1767 | |
| Unique patients, n | 3082 | 2968 | 2933 | 3805 | 1106 | 1180 | 1363 | 1454 | |
| Age, y, mean (SD) | 55.1 (17.7) | 55.7 (17.4) | 56.4 (17.9) | 56.7 (17.1) | 55.9 (17.9) | 56.2 (18.4) | 55.5 (18.8) | 54 (18.7) | 0.02 |
| Sex male, n (%) | 1503 (48.8) | 1397 (47.1) | 1432 (48.8) | 1837 (48.3) | 520 (47) | 550 (46.6) | 613 (45) | 654 (45) | <0.01 |
| Race | |||||||||
| African American, n (%) | 2072 (67.2) | 1922 (64.8) | 1820 (62.1) | 2507 (65.9) | 500 (45.2) | 592 (50.2) | 652 (47.8) | 747 (51.4) | <0.01 |
| White, n (%) | 897 (29.1) | 892 (30.1) | 957 (32.6) | 1118 (29.4) | 534 (48.3) | 527 (44.7) | 621 (45.6) | 619 (42.6) | |
| Asian, n (%) | 19 (.6%) | 35 (1.2) | 28 (1) | 32 (.8) | 11 (1) | 7 (.6) | 25 (1.8) | 12 (.8) | |
| Other, n (%) | 94 (3.1) | 119 (4) | 128 (4.4) | 148 (3.9) | 61 (5.5) | 54 (4.6) | 65 (4.8) | 76 (5.2) | |
| Case mix index, mean (SD) | 1.2 (1) | 1.1 (0.9) | 1.1 (0.9) | 1.1 (1.2) | 1.2 (1) | 1.1 (1) | 1.1 (1) | 1 (0.7) | <0.01 |
Differences in Outcomes Among Resident and Hospitalist Services Pre‐ and Postreform
Table 2 shows unadjusted results. Patients discharged from the resident services in the postreform period as compared to the prereform period had a higher likelihood of an ICU stay (5.9% vs 4.5%, P<0.01), and lower likelihood of 30‐day readmission (17.1% vs 20.1%, P<0.01). Patients discharged from the hospitalist service in the postreform period as compared to the prereform period had a significantly shorter mean length of stay (4.51 vs 4.88 days, P=0.03)
| Resident Services | Hospitalist Service | |||||
|---|---|---|---|---|---|---|
| Outcome | Prereforma | Postreform | P Value | Prereforma | Postreform | P Value |
| ||||||
| Length of stay (mean) | 4.55 (5.39) | 4.50 (5.47) | 0.61 | 4.88 (5.36) | 4.51 (4.64) | 0.03 |
| Any ICU stay (%) | 225 (4.5%) | 310 (5.9%) | <0.01 | 82 (4.7%) | 83 (4.7%) | 0.95 |
| Any MHACs (%) | 560 (3.6%) | 180 (3.4%) | 0.62 | 210 (4.5%) | 64 (3.6%) | 0.09 |
| Readmit in 30 days (%) | 3155 (20.1%) | 900 (17.1%) | <0.01 | 852 (18.4%) | 296 (16.8%) | 0.11 |
| Inpatient mortality (%) | 71 (0.5%) | 28 (0.5%) | 0.48 | 18 (0.4%) | 7 (0.4%) | 0.97 |
Table 3 presents the results of regression analyses examining correlates of patient safety outcomes, adjusted for age, gender, race, and CMI. As the test of controls indicated differential prereform trends for ICU admission and length of stay, the prereform period was limited to 2011 for these outcomes. After adjustment for covariates, the probability of an ICU stay remained greater, and the 30‐day readmission rate was lower among patients discharged from resident services in the postreform period than the prereform period. Among patients discharged from the hospitalist services, there were no significant differences in length of stay, readmissions, ICU admissions, MHACs, or inpatient mortality comparing the pre‐ and postreform periods.
| Resident Services | Hospitalist Service | Difference in Differences | |||||
|---|---|---|---|---|---|---|---|
| Outcome | Prereforma | Postreform | Difference | Prereform | Postreform | Difference | (ResidentHospitalist) |
| |||||||
| ICU stay | 4.5% (4.0% to 5.1%) | 5.7% (5.1% to 6.3%) | 1.4% (0.5% to 2.2%) | 4.4% (3.5% to 5.3%) | 5.3% (4.3% to 6.3%) | 1.1% (0.2 to 2.4%) | 0.3% (1.1% to 1.8%) |
| Inpatient mortality | 0.5% (0.4% to 0.6%) | 0.5% (0.3% to 0.7%) | 0 (0.2% to 0.2%) | 0.3% (0.2% to 0.6%) | 0.5% (0.1% to 0.8%) | 0.1% (0.3% to 0.5%) | 0.1% (0.5% to 0.3%) |
| MHACs | 3.6% (3.3% to 3.9%) | 3.3% (2.9% to 3.7%) | 0.4% (0.9 to 0.2%) | 4.5% (3.9% to 5.1%) | 4.1% (3.2% to 5.1%) | 0.3% (1.4% to 0.7%) | 0.2% (1.0% to 1.3%) |
| Readmit 30 days | 20.1% (19.1% to 21.1%) | 17.2% (15.9% to 18.5%) | 2.8% (4.3% to 1.3%) | 18.4% (16.5% to 20.2%) | 16.6% (14.7% to 18.5%) | 1.7% (4.1% to 0.8%) | 1.8% (0.2% to 3.7%) |
| Length of stay | 4.6 (4.4 to 4.7) | 4.4 (4.3 to 4.6) | 0.1 (0.3 to 0.1) | 4.9 (4.6 to 5.1) | 4.7 (4.5 to 5.0) | 0.1 (0.4 to 0.2) | 0.01 (0.37 to 0.34) |
Differences in Outcomes Comparing Resident and Hospitalist Services Pre‐ and Postreform
Comparing pre‐ and postreform periods in the resident and hospitalist services, there were no significant differences in ICU admission, length of stay, MHACs, 30‐day readmissions, or inpatient mortality. In the sensitivity analysis, in which we excluded all discharges in May 2012 to June 2012, results were not significantly different for any of the outcomes examined.
DISCUSSION
Using difference‐in‐differences estimation, we evaluated whether the implementation of the 2011 residency work‐hour mandate was associated with differences in patient safety outcomes including length of stay, 30‐day readmission, inpatient mortality, MHACs, and ICU admissions comparing resident and hospitalist services at a large academic medical center. Adjusting for patient age, race, gender, and clinical complexity, we found no significant changes in any of the patient safety outcomes indicators in the postreform period comparing resident to hospitalist services.
Our quasiexperimental study design allowed us to gauge differences in patient safety outcomes, while reducing bias due to unmeasured confounders that might impact patient safety indicators.[9] We were able to examine all discharges from the resident and hospitalist general medicine services during the academic years 2009 to 2012, while adjusting for age, race, gender, and clinical complexity. Though ICU admission was higher and readmission rates were lower on the resident services post‐2011, we did not observe a significant difference in ICU admission or 30‐day readmission rates in the postreform period comparing patients discharged from the resident and hospitalist services and all patients in the prereform period.
Our neutral findings differ from some other single‐institution evaluations of reduced resident work hours, several of which have shown improved quality of life, education, and patient safety indicators.[18, 21, 26, 27, 28] It is unclear why improvements in patient safety were not identified in the current study. The 2011 reforms were more broad‐based than some of the preliminary studies of reduced work hours, and therefore additional variables may be at play. For instance, challenges related to decreased work hours, including the increased number of handoffs in care and work compression, may require specific interventions to produce sustained improvements in patient safety.[3, 14, 29, 30]
Improving patient safety requires more than changing resident work hours. Blum et al. recommended enhanced funding to increase supervision, decrease resident caseload, and incentivize achievement of quality indicators to achieve the goal of improved patient safety within work‐hour reform.[31] Schumacher et al. proposed a focus on supervision, professionalism, safe transitions of care, and optimizing workloads as a means to improve patient safety and education within the new residency training paradigm.[29]
Limitations of this study include limited follow‐up time after implementation of the work‐hour reforms. It may take more time to optimize systems of care to see benefits in patient safety indicators. This was a single‐institution study of a limited number of outcomes in a single department, which limits generalizability and may reflect local experience rather than broader trends. The call schedule on the resident service in this study differs from programs that have adopted night float schedules. [27] This may have had an effect on patient care outcomes.[32] In an attempt to conduct a timely study of inpatient safety indicators following the 2011 changes, our study was not powered to detect small changes in low‐frequency outcomes such as mortality; longer‐term studies at multiple institutions will be needed to answer these key questions. We limited the prereform period where our test of controls indicated differential prereform trends, which reduced power.
As this was an observational study rather than an experiment, there may have been both measured and unmeasured differences in patient characteristics and comorbidity between the intervention and control group. For example, CMI was lower on the hospitalist service than the resident services. Demographics varied somewhat between services; male and African American patients were more likely to be discharged from resident services than hospitalist services for unknown reasons. Although we adjusted for demographics and CMI in our model, there may be residual confounding. Limitations in data collection did not allow us to separate patients initially admitted to the ICU from patients transferred to the ICU from the inpatient floors. We attempted to overcome this limitation through use of a difference‐in‐differences model to account for secular trends, but factors other than residency work hours may have impacted the resident and hospitalist services differentially. For example, hospital quality‐improvement programs or provider‐level factors may have differentially impacted the resident versus hospitalist services during the study period.
Work‐hour limitations for residents were established to improve residency education and patient safety. As noted by the Institute of Medicine, improving patient safety will require significant investment by program directors, hospitals, and the public to keep resident caseloads manageable, ensure adequate supervision of first‐year residents, train residents on safe handoffs in care, and conduct ongoing evaluations of patient safety and any unintended consequences of the regulations.[33] In the first year after implementation of the 2011 work‐hour reforms, we found no change in ICU admission, inpatient mortality, 30‐day readmission rates, length of stay, or MHACs compared with patients treated by hospitalists. Studies of the long‐term impact of residency work‐hour reform are necessary to determine whether changes in work hours have been associated with improvement in resident education and patient safety.
Disclosure: Nothing to report.
The Accreditation Council for Graduate Medical Education (ACGME) Common Program Requirements implemented in July 2011 increased supervision requirements and limited continuous work hours for first‐year residents.[1] Similar to the 2003 mandates, these requirements were introduced to improve patient safety and education at academic medical centers.[2] Work‐hour reforms have been associated with decreased resident burnout and improved sleep.[3, 4, 5] However, national observational studies and systematic reviews of the impact of the 2003 reforms on patient safety and quality of care have been varied in terms of outcome.[6, 7, 8, 9, 10] Small studies of the 2011 recommendations have shown increased sleep duration and decreased burnout, but also an increased number of handoffs and increased resident concerns about making a serious medical error.[11, 12, 13, 14] Although national surveys of residents and program directors have not indicated improvements in education or quality of life, 1 observational study did show improvement in clinical exposure and conference attendance.[15, 16, 17, 18] The impact of the 2011 reforms on patient safety remains unclear.[19, 20]
The objective of this study was to evaluate the association between implementation of the 2011 residency work‐hour mandates and patient safety outcomes at a large academic medical center.
METHODS
Study Design
This observational study used a quasi‐experimental difference‐in‐differences approach to evaluate whether residency work‐hour changes were associated with patient safety outcomes among general medicine inpatients. We compared safety outcomes among adult patients discharged from resident general medical services (referred to as resident) to safety outcomes among patients discharged by the hospitalist general medical service (referred to as hospitalist) before and after the 2011 residency work‐hour reforms at a large academic medical center. Differences in outcomes for the resident group were compared to differences observed in the hospitalist group, with adjustment for relevant demographic and case mix factors.[21] We used the hospitalist service as a control group, because ACGME changes applied only to resident services. The strength of this design is that it controls for secular trends that are correlated with patient safety, impacting both residents and hospitalists similarly.[9]
Approval for this study and a Health Insurance Portability and Accountability Act waiver were granted by the Johns Hopkins University School of Medicine institutional review board. We retrospectively examined administrative data on all patient discharges from the general medicine services at Johns Hopkins Hospital between July 1, 2008 and June 30, 2012 that were identified as pertaining to resident or hospitalist services.
Patient Allocation and Physician Scheduling
Patient admission to the resident or hospitalist service was decided by a number of factors. To maintain continuity of care, patients were preferentially admitted to the same service as for prior admissions. New patients were admitted to a service based on bed availability, nurse staffing, patient gender, isolation precautions, and cardiac monitor availability.
The inpatient resident services were staffed prior to July 2011 using a traditional 30‐hour overnight call system. Following July 2011, the inpatient resident services were staffed using a modified overnight call system, in which interns took overnight calls from 8 pm until 12 pm the following day, once every 5 nights with supervision by upper‐level residents. These interns rotated through daytime admitting and coverage roles on the intervening days. The hospitalist service was organized into a 3‐physician rotation of day shift, evening shift, and overnight shift.
Data and Outcomes
Twenty‐nine percent of patients in the sample were admitted more than once during the study period, and patients were generally admitted to the same resident team during each admission. Patients with multiple admissions were counted multiple times in the model. We categorized admissions as prereform (July 1, 2008June 30, 2011) and postreform (July 1, 2011June 30, 2012). Outcomes evaluated included hospital length of stay, 30‐day readmission, intensive care unit stay (ICU) stay, inpatient mortality, and number of Maryland Hospital Acquired Conditions (MHACs). ICU stay pertained to any ICU admission including initial admission and transfer from the inpatient floor. MHACs are a set of inpatient performance indicators derived from a list of 64 inpatient Potentially Preventable Complications developed by 3M Health Information Systems.[22] MHACs are used by the Maryland Health Services Cost Review Commission to link hospital payment to performance for costly, preventable, and clinically relevant complications. MHACs were coded in our analysis as a dichotomous variable. Independent variables included patient age at admission, race, gender, and case mix index. Case mix index (CMI) is a numeric score that measures resource utilization for a specific patient population. CMI is a weighted value assigned to patients based on resource utilization and All Patient Refined Diagnostic Related Group and was included as an indicator of patient illness severity and risk of mortality.[23] Data were obtained from administrative records from the case mix research team at Johns Hopkins Medicine.
To account for transitional differences that may have coincided with the opening of a new hospital wing in late April 2012, we conducted a sensitivity analysis, in which we excluded from analysis any visits that took place in May 2012 to June 2012.
Data Analysis
Based on historical studies, we calculated that a sample size of at least 3600 discharges would allow us to detect a difference of 5% between the pre‐ and postreform period assuming baseline 20% occurrence of dichotomous outcomes (=0.05; =0.2; r=4).[21]
The primary unit of analysis was the hospital discharge. Similar to Horwitz et al., we analyzed data using a difference‐in‐differences estimation strategy.[21] We used multivariable linear regression for length of stay measured as a continuous variable, and multivariable logistic regression for inpatient mortality, 30‐day readmission, MHACs coded as a dichotomous variable, and ICU stay coded as a dichotomous variable.[9] The difference‐in‐differences estimation was used to determine whether the postreform period relative to prereform period was associated with differences in outcomes comparing resident and hospitalist services. In the regression models, the independent variables of interest included an indicator variable for whether a patient was treated on a resident service, an indicator variable for whether a patient was discharged in the postreform period, and the interaction of these 2 variables (resident*postreform). The interaction term can be interpreted as a differential change over time comparing resident and hospitalist services. In all models, we adjusted for patient age, gender, race, and case mix index.
To determine whether prereform trends were similar among the resident and hospitalist services, we performed a test of controls as described by Volpp and colleagues.[6] Interaction terms for resident service and prereform years 2010 and 2011 were added to the model. A Wald test was then used to test for improved model fit, which would indicate differential trends among resident and hospitalist services during the prereform period. Where such trends were found, postreform results were compared only to 2011 rather than the 2009 to 2011 prereform period.[6]
To account for correlation within patients who had multiple discharges, we used a clustering approach and estimated robust variances.[24] From the regression model results, we calculated predicted probabilities adjusted for relevant covariates and prepost differences, and used linear probability models to estimate percentage‐point differences in outcomes, comparing residents and hospitalists in the pre‐ and postreform periods.[25] All analyses were performed using Stata/IC version 11 (StataCorp, College Station, TX).
RESULTS
In the 3 years before the 2011 residency work‐hour reforms were implemented (prereform), there were a total of 15,688 discharges for 8983 patients to the resident services and 4622 discharges for 3649 patients to the hospitalist services. In the year following implementation of residency work‐hour changes (postreform), there were 5253 discharges for 3805 patients to the resident services and 1767 discharges for 1454 patients to the hospitalist service. Table 1 shows the characteristics of patients discharged from the resident and hospitalist services in the pre‐ and postreform periods. Patients discharged from the resident services were more likely to be older, male, African American, and have a higher CMI.
| Resident Services | Hospitalist Service | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 2009 | 2010 | 2011 | 2012 | 2009 | 2010 | 2011 | 2012 | P Valuea | |
| |||||||||
| Discharges, n | 5345 | 5299 | 5044 | 5253 | 1366 | 1492 | 1764 | 1767 | |
| Unique patients, n | 3082 | 2968 | 2933 | 3805 | 1106 | 1180 | 1363 | 1454 | |
| Age, y, mean (SD) | 55.1 (17.7) | 55.7 (17.4) | 56.4 (17.9) | 56.7 (17.1) | 55.9 (17.9) | 56.2 (18.4) | 55.5 (18.8) | 54 (18.7) | 0.02 |
| Sex male, n (%) | 1503 (48.8) | 1397 (47.1) | 1432 (48.8) | 1837 (48.3) | 520 (47) | 550 (46.6) | 613 (45) | 654 (45) | <0.01 |
| Race | |||||||||
| African American, n (%) | 2072 (67.2) | 1922 (64.8) | 1820 (62.1) | 2507 (65.9) | 500 (45.2) | 592 (50.2) | 652 (47.8) | 747 (51.4) | <0.01 |
| White, n (%) | 897 (29.1) | 892 (30.1) | 957 (32.6) | 1118 (29.4) | 534 (48.3) | 527 (44.7) | 621 (45.6) | 619 (42.6) | |
| Asian, n (%) | 19 (.6%) | 35 (1.2) | 28 (1) | 32 (.8) | 11 (1) | 7 (.6) | 25 (1.8) | 12 (.8) | |
| Other, n (%) | 94 (3.1) | 119 (4) | 128 (4.4) | 148 (3.9) | 61 (5.5) | 54 (4.6) | 65 (4.8) | 76 (5.2) | |
| Case mix index, mean (SD) | 1.2 (1) | 1.1 (0.9) | 1.1 (0.9) | 1.1 (1.2) | 1.2 (1) | 1.1 (1) | 1.1 (1) | 1 (0.7) | <0.01 |
Differences in Outcomes Among Resident and Hospitalist Services Pre‐ and Postreform
Table 2 shows unadjusted results. Patients discharged from the resident services in the postreform period as compared to the prereform period had a higher likelihood of an ICU stay (5.9% vs 4.5%, P<0.01), and lower likelihood of 30‐day readmission (17.1% vs 20.1%, P<0.01). Patients discharged from the hospitalist service in the postreform period as compared to the prereform period had a significantly shorter mean length of stay (4.51 vs 4.88 days, P=0.03)
| Resident Services | Hospitalist Service | |||||
|---|---|---|---|---|---|---|
| Outcome | Prereforma | Postreform | P Value | Prereforma | Postreform | P Value |
| ||||||
| Length of stay (mean) | 4.55 (5.39) | 4.50 (5.47) | 0.61 | 4.88 (5.36) | 4.51 (4.64) | 0.03 |
| Any ICU stay (%) | 225 (4.5%) | 310 (5.9%) | <0.01 | 82 (4.7%) | 83 (4.7%) | 0.95 |
| Any MHACs (%) | 560 (3.6%) | 180 (3.4%) | 0.62 | 210 (4.5%) | 64 (3.6%) | 0.09 |
| Readmit in 30 days (%) | 3155 (20.1%) | 900 (17.1%) | <0.01 | 852 (18.4%) | 296 (16.8%) | 0.11 |
| Inpatient mortality (%) | 71 (0.5%) | 28 (0.5%) | 0.48 | 18 (0.4%) | 7 (0.4%) | 0.97 |
Table 3 presents the results of regression analyses examining correlates of patient safety outcomes, adjusted for age, gender, race, and CMI. As the test of controls indicated differential prereform trends for ICU admission and length of stay, the prereform period was limited to 2011 for these outcomes. After adjustment for covariates, the probability of an ICU stay remained greater, and the 30‐day readmission rate was lower among patients discharged from resident services in the postreform period than the prereform period. Among patients discharged from the hospitalist services, there were no significant differences in length of stay, readmissions, ICU admissions, MHACs, or inpatient mortality comparing the pre‐ and postreform periods.
| Resident Services | Hospitalist Service | Difference in Differences | |||||
|---|---|---|---|---|---|---|---|
| Outcome | Prereforma | Postreform | Difference | Prereform | Postreform | Difference | (ResidentHospitalist) |
| |||||||
| ICU stay | 4.5% (4.0% to 5.1%) | 5.7% (5.1% to 6.3%) | 1.4% (0.5% to 2.2%) | 4.4% (3.5% to 5.3%) | 5.3% (4.3% to 6.3%) | 1.1% (0.2 to 2.4%) | 0.3% (1.1% to 1.8%) |
| Inpatient mortality | 0.5% (0.4% to 0.6%) | 0.5% (0.3% to 0.7%) | 0 (0.2% to 0.2%) | 0.3% (0.2% to 0.6%) | 0.5% (0.1% to 0.8%) | 0.1% (0.3% to 0.5%) | 0.1% (0.5% to 0.3%) |
| MHACs | 3.6% (3.3% to 3.9%) | 3.3% (2.9% to 3.7%) | 0.4% (0.9 to 0.2%) | 4.5% (3.9% to 5.1%) | 4.1% (3.2% to 5.1%) | 0.3% (1.4% to 0.7%) | 0.2% (1.0% to 1.3%) |
| Readmit 30 days | 20.1% (19.1% to 21.1%) | 17.2% (15.9% to 18.5%) | 2.8% (4.3% to 1.3%) | 18.4% (16.5% to 20.2%) | 16.6% (14.7% to 18.5%) | 1.7% (4.1% to 0.8%) | 1.8% (0.2% to 3.7%) |
| Length of stay | 4.6 (4.4 to 4.7) | 4.4 (4.3 to 4.6) | 0.1 (0.3 to 0.1) | 4.9 (4.6 to 5.1) | 4.7 (4.5 to 5.0) | 0.1 (0.4 to 0.2) | 0.01 (0.37 to 0.34) |
Differences in Outcomes Comparing Resident and Hospitalist Services Pre‐ and Postreform
Comparing pre‐ and postreform periods in the resident and hospitalist services, there were no significant differences in ICU admission, length of stay, MHACs, 30‐day readmissions, or inpatient mortality. In the sensitivity analysis, in which we excluded all discharges in May 2012 to June 2012, results were not significantly different for any of the outcomes examined.
DISCUSSION
Using difference‐in‐differences estimation, we evaluated whether the implementation of the 2011 residency work‐hour mandate was associated with differences in patient safety outcomes including length of stay, 30‐day readmission, inpatient mortality, MHACs, and ICU admissions comparing resident and hospitalist services at a large academic medical center. Adjusting for patient age, race, gender, and clinical complexity, we found no significant changes in any of the patient safety outcomes indicators in the postreform period comparing resident to hospitalist services.
Our quasiexperimental study design allowed us to gauge differences in patient safety outcomes, while reducing bias due to unmeasured confounders that might impact patient safety indicators.[9] We were able to examine all discharges from the resident and hospitalist general medicine services during the academic years 2009 to 2012, while adjusting for age, race, gender, and clinical complexity. Though ICU admission was higher and readmission rates were lower on the resident services post‐2011, we did not observe a significant difference in ICU admission or 30‐day readmission rates in the postreform period comparing patients discharged from the resident and hospitalist services and all patients in the prereform period.
Our neutral findings differ from some other single‐institution evaluations of reduced resident work hours, several of which have shown improved quality of life, education, and patient safety indicators.[18, 21, 26, 27, 28] It is unclear why improvements in patient safety were not identified in the current study. The 2011 reforms were more broad‐based than some of the preliminary studies of reduced work hours, and therefore additional variables may be at play. For instance, challenges related to decreased work hours, including the increased number of handoffs in care and work compression, may require specific interventions to produce sustained improvements in patient safety.[3, 14, 29, 30]
Improving patient safety requires more than changing resident work hours. Blum et al. recommended enhanced funding to increase supervision, decrease resident caseload, and incentivize achievement of quality indicators to achieve the goal of improved patient safety within work‐hour reform.[31] Schumacher et al. proposed a focus on supervision, professionalism, safe transitions of care, and optimizing workloads as a means to improve patient safety and education within the new residency training paradigm.[29]
Limitations of this study include limited follow‐up time after implementation of the work‐hour reforms. It may take more time to optimize systems of care to see benefits in patient safety indicators. This was a single‐institution study of a limited number of outcomes in a single department, which limits generalizability and may reflect local experience rather than broader trends. The call schedule on the resident service in this study differs from programs that have adopted night float schedules. [27] This may have had an effect on patient care outcomes.[32] In an attempt to conduct a timely study of inpatient safety indicators following the 2011 changes, our study was not powered to detect small changes in low‐frequency outcomes such as mortality; longer‐term studies at multiple institutions will be needed to answer these key questions. We limited the prereform period where our test of controls indicated differential prereform trends, which reduced power.
As this was an observational study rather than an experiment, there may have been both measured and unmeasured differences in patient characteristics and comorbidity between the intervention and control group. For example, CMI was lower on the hospitalist service than the resident services. Demographics varied somewhat between services; male and African American patients were more likely to be discharged from resident services than hospitalist services for unknown reasons. Although we adjusted for demographics and CMI in our model, there may be residual confounding. Limitations in data collection did not allow us to separate patients initially admitted to the ICU from patients transferred to the ICU from the inpatient floors. We attempted to overcome this limitation through use of a difference‐in‐differences model to account for secular trends, but factors other than residency work hours may have impacted the resident and hospitalist services differentially. For example, hospital quality‐improvement programs or provider‐level factors may have differentially impacted the resident versus hospitalist services during the study period.
Work‐hour limitations for residents were established to improve residency education and patient safety. As noted by the Institute of Medicine, improving patient safety will require significant investment by program directors, hospitals, and the public to keep resident caseloads manageable, ensure adequate supervision of first‐year residents, train residents on safe handoffs in care, and conduct ongoing evaluations of patient safety and any unintended consequences of the regulations.[33] In the first year after implementation of the 2011 work‐hour reforms, we found no change in ICU admission, inpatient mortality, 30‐day readmission rates, length of stay, or MHACs compared with patients treated by hospitalists. Studies of the long‐term impact of residency work‐hour reform are necessary to determine whether changes in work hours have been associated with improvement in resident education and patient safety.
Disclosure: Nothing to report.
- Accreditation Council for Graduate Medical Education. Common program requirements effective: July 1, 2011. Available at: http://www.acgme.org/acgmeweb/Portals/0/PFAssets/ProgramResources/Common_Program_Requirements_07012011[1].pdf. Accessed February 10, 2014.
- , , . The new recommendations on duty hours from the ACGME Task Force. N Engl J Med. 2010;363:e3.
- , , , , . Interns' compliance with Accreditation Council for Graduate Medical Education work‐hour limits. JAMA. 2006;296(9):1063–1070.
- , , , , , . Effects of work hour reduction on residents' lives: a systematic review. JAMA. 2005;294(9):1088–1100.
- , , , et al. Effects of the ACGME duty hour limits on sleep, work hours, and safety. Pediatrics. 2008;122(2):250–258.
- , , . Teaching hospital five‐year mortality trends in the wake of duty hour reforms. J Gen Intern Med. 2013;28(8):1048–1055.
- , , , . Duty hour limits and patient care and resident outcomes: can high‐quality studies offer insight into complex relationships? Ann Rev Med. 2013;64:467–483.
- , , . Patient safety, resident education and resident well‐being following implementation of the 2003 ACGME duty hour rules. J Gen Intern Med. 2011;26(8):907–919.
- , , , et al. Mortality among hospitalized Medicare beneficiaries in the first 2 years following ACGME resident duty hour reform. JAMA. 2007;298(9):975–983.
- , , , et al. Effects of resident duty hour reform on surgical and procedural patient safety indicators among hospitalized Veterans Health Administration and Medicare patients. Med Care. 2009;47(7):723–731.
- , , , et al. Pilot trial of IOM duty hour recommendations in neurology residency programs. Neurology. 2011;77(9):883–887.
- , , , et al. Effect of 16‐hour duty periods of patient care and resident education. Mayo Clin Proc. 2011;86:192–196.
- , , , et al. Effects of the 2011 duty hour reforms on interns and their patients: a prospective longitudinal cohort study. JAMA Intern Med. 2013;173(8):657–662.
- , , , et al. Effect of the 2011 vs 2003 duty hour regulation—compliant models on sleep duration, trainee education, and continuity of patient care among internal medicine house staff. JAMA Intern Med. 2013;173(8):649–655.
- , , . Residents' response to duty‐hour regulations—a follow‐up national survey. N Engl J Med. 2012;366:e35.
- , , , . Surgical residents' perceptions of 2011 Accreditation Council for Graduate Medical Education duty hour regulations. JAMA Surg. 2013;148(5):427–433.
- , , . The 2011 duty hour requirements—a survey of residency program directors. N Engl J Med. 2013;368:694–697.
- , , , et al. The effect of reducing maximum shift lengths to 16 hours on internal medicine interns' educational opportunities. Acad Med. 2013;88(4):512–518.
- , . Residency work‐hours reform. A cost analysis including preventable adverse events. J Gen Intern Med. 2005;20(10):873–878.
- , , , , . Cost implications of reduced work hours and workloads for resident physicians. N Engl J Med. 2009;360:2202–2215.
- , , , . Changes in outcomes for internal medicine inpatients after work‐hour regulations. Ann Intern Med. 2007;147:97–103.
- .Maryland Health Services Cost Review Commission. Complications: Maryland Hospital Acquired Conditions. Available at: http://www.hscrc.state.md.us/init_qi_MHAC.cfm. Accessed May 23, 2013.
- , , , et al. What are APR‐DRGs? An introduction to severity of illness and risk of mortality adjustment methodology. 3M Health Information Systems. Available at: http://solutions.3m.com/3MContentRetrievalAPI/BlobServlet?locale=it_IT44(4):1049–1060.
- , , , , . Impact of the 2008 US Preventive Services Task Force Recommendation to discontinue prostate cancer screening among male Medicare beneficiaries. Arch Intern Med. 2012;172(20):1601–1603.
- , , , et al. Effect of reducing interns' work hour on serious medical errors in intensive care units. N Engl J Med. 2004;351(18):1838–1848.
- , , . Effects of reducing or eliminating resident work shifts over 16 hours: a systematic review. Sleep. 2010;33(8):1043–1053.
- , , , et al. Impact of duty hours restrictions on quality of care and clinical outcomes. Am J Med. 2007;120(11):968–974.
- , , , , , . Beyond counting hours: the importance of supervision, professionalism, transitions in care, and workload in residency training. Acad Med. 2012;87(7):883–888.
- , , , , , . One possible future for resident hours: interns' perspective on a one‐month trial of the Institute of Medicine recommended duty hour limits. J Grad Med Educ. 2009;1(2):185–187.
- , , , , . Implementing the 2009 Institute of Medicine recommendations on resident physician work hours, supervision, and safety. Nature Sci Sleep. 2001;3:47–85.
- , . Night float teaching and learning: perceptions of residents and faculty. J Grad Med Educ. 2010;2(2):236–241.
- Institute of Medicine. Resident duty hours: enhancing sleep, supervision, and safety. Report brief. Washington, DC: National Academies; 2008. Available at: http://www.iom.edu/∼/media/Files/Report Files/2008/Resident‐Duty‐Hours/residency hours revised for web.pdf. Accessed May 23, 2013.
- Accreditation Council for Graduate Medical Education. Common program requirements effective: July 1, 2011. Available at: http://www.acgme.org/acgmeweb/Portals/0/PFAssets/ProgramResources/Common_Program_Requirements_07012011[1].pdf. Accessed February 10, 2014.
- , , . The new recommendations on duty hours from the ACGME Task Force. N Engl J Med. 2010;363:e3.
- , , , , . Interns' compliance with Accreditation Council for Graduate Medical Education work‐hour limits. JAMA. 2006;296(9):1063–1070.
- , , , , , . Effects of work hour reduction on residents' lives: a systematic review. JAMA. 2005;294(9):1088–1100.
- , , , et al. Effects of the ACGME duty hour limits on sleep, work hours, and safety. Pediatrics. 2008;122(2):250–258.
- , , . Teaching hospital five‐year mortality trends in the wake of duty hour reforms. J Gen Intern Med. 2013;28(8):1048–1055.
- , , , . Duty hour limits and patient care and resident outcomes: can high‐quality studies offer insight into complex relationships? Ann Rev Med. 2013;64:467–483.
- , , . Patient safety, resident education and resident well‐being following implementation of the 2003 ACGME duty hour rules. J Gen Intern Med. 2011;26(8):907–919.
- , , , et al. Mortality among hospitalized Medicare beneficiaries in the first 2 years following ACGME resident duty hour reform. JAMA. 2007;298(9):975–983.
- , , , et al. Effects of resident duty hour reform on surgical and procedural patient safety indicators among hospitalized Veterans Health Administration and Medicare patients. Med Care. 2009;47(7):723–731.
- , , , et al. Pilot trial of IOM duty hour recommendations in neurology residency programs. Neurology. 2011;77(9):883–887.
- , , , et al. Effect of 16‐hour duty periods of patient care and resident education. Mayo Clin Proc. 2011;86:192–196.
- , , , et al. Effects of the 2011 duty hour reforms on interns and their patients: a prospective longitudinal cohort study. JAMA Intern Med. 2013;173(8):657–662.
- , , , et al. Effect of the 2011 vs 2003 duty hour regulation—compliant models on sleep duration, trainee education, and continuity of patient care among internal medicine house staff. JAMA Intern Med. 2013;173(8):649–655.
- , , . Residents' response to duty‐hour regulations—a follow‐up national survey. N Engl J Med. 2012;366:e35.
- , , , . Surgical residents' perceptions of 2011 Accreditation Council for Graduate Medical Education duty hour regulations. JAMA Surg. 2013;148(5):427–433.
- , , . The 2011 duty hour requirements—a survey of residency program directors. N Engl J Med. 2013;368:694–697.
- , , , et al. The effect of reducing maximum shift lengths to 16 hours on internal medicine interns' educational opportunities. Acad Med. 2013;88(4):512–518.
- , . Residency work‐hours reform. A cost analysis including preventable adverse events. J Gen Intern Med. 2005;20(10):873–878.
- , , , , . Cost implications of reduced work hours and workloads for resident physicians. N Engl J Med. 2009;360:2202–2215.
- , , , . Changes in outcomes for internal medicine inpatients after work‐hour regulations. Ann Intern Med. 2007;147:97–103.
- .Maryland Health Services Cost Review Commission. Complications: Maryland Hospital Acquired Conditions. Available at: http://www.hscrc.state.md.us/init_qi_MHAC.cfm. Accessed May 23, 2013.
- , , , et al. What are APR‐DRGs? An introduction to severity of illness and risk of mortality adjustment methodology. 3M Health Information Systems. Available at: http://solutions.3m.com/3MContentRetrievalAPI/BlobServlet?locale=it_IT44(4):1049–1060.
- , , , , . Impact of the 2008 US Preventive Services Task Force Recommendation to discontinue prostate cancer screening among male Medicare beneficiaries. Arch Intern Med. 2012;172(20):1601–1603.
- , , , et al. Effect of reducing interns' work hour on serious medical errors in intensive care units. N Engl J Med. 2004;351(18):1838–1848.
- , , . Effects of reducing or eliminating resident work shifts over 16 hours: a systematic review. Sleep. 2010;33(8):1043–1053.
- , , , et al. Impact of duty hours restrictions on quality of care and clinical outcomes. Am J Med. 2007;120(11):968–974.
- , , , , , . Beyond counting hours: the importance of supervision, professionalism, transitions in care, and workload in residency training. Acad Med. 2012;87(7):883–888.
- , , , , , . One possible future for resident hours: interns' perspective on a one‐month trial of the Institute of Medicine recommended duty hour limits. J Grad Med Educ. 2009;1(2):185–187.
- , , , , . Implementing the 2009 Institute of Medicine recommendations on resident physician work hours, supervision, and safety. Nature Sci Sleep. 2001;3:47–85.
- , . Night float teaching and learning: perceptions of residents and faculty. J Grad Med Educ. 2010;2(2):236–241.
- Institute of Medicine. Resident duty hours: enhancing sleep, supervision, and safety. Report brief. Washington, DC: National Academies; 2008. Available at: http://www.iom.edu/∼/media/Files/Report Files/2008/Resident‐Duty‐Hours/residency hours revised for web.pdf. Accessed May 23, 2013.
© 2014 Society of Hospital Medicine
ACO Insider: Anatomy of an independent primary care ACO, part 1
While concepts and theories can go a long way, sometimes the best way to understand something is through a concrete example.
So, from time to time, ACO Insider will check in on a new accountable care organization composed of 14 independent physicians in 11 practices in McAllen, Tex.
We chose them because they share many of the same questions and concerns as quite a few of you readers: Will this work? Where do I begin? How can we do this, since we have no free time or money? How much will this cost? Will there be any shared savings? Do we have to affiliate with a hospital or a large practice? Are we too small? How do we apply for the Medicare Shared Savings Program (MSSP)? What will change in my practice?
The name of the ACO is Rio Grande Valley Health Alliance (RGVHA). It was formed in January 2012 as a "network-model" ACO, meaning that the physicians stay in their separate independent practices but participate in the ACO through contract. Its first – and as of this writing, only – ACO payer contract is with Medicare, the MSSP.
So far, there have been a number of unexpected highs and a number of unexpected lows. The primary care physicians of RGVHA hope that by sharing their story, they can help you better navigate your own ACO course.
Opportunity for primary care
Dr. Luis Delgado became intrigued by the possibility under accountable care of rewarding primary care physicians for the savings they generate while maintaining or improving quality. Instead of resisting change, he saw opportunity.
He also saw a chance to do something about McAllen’s reputation, gained through Dr. Atul Gawande’s 2009 article in the New Yorker entitled, "The Cost Conundrum." That article focused on McAllen’s Medicare health costs, which were almost twice those of its Rio Grande River neighbor, El Paso.
However, beyond having a vision, he had no know-how and no budget.
Fortunately, as readers of this column know, there is so much documented "low-hanging fruit" for primary care to generate savings through value-based care that the strategic time and expertise expenditures proved not to be significant. The legal structure and backroom business logistics for a small network-model primary care physician ACO are also relatively straightforward. RGVHA has two full-time administrative staffers, one part-time president (Dr. Delgado), and one part-time medical director (Dr. Roger Heredia).
However, the new ACO data collection, sorting, and reporting requirements were somewhat daunting – that is, until they met Dr. Gretchen Hoyle of MD Online Solutions (MDOS). Dr. Hoyle is a practicing pediatrician who spearheaded the design of a physician-friendly care management data system for her practice and found it ideal for the accountable care era. Her company targets small- to medium-sized physician-led ACOs.
MDOS was able to tailor a nimble ACO solution scaled to RGVHA’s needs, thus allowing RGVHA to supply its last missing piece in a cost-effective manner. Because she is a practicing physician, Dr. Hoyle helps interpret the data and leads a weekly data-driven staff conference call with the ACO’s nurse care coordinators.
Approved for the Medicare ACO
Despite initial fears, RGVHA found that the MSSP application process was not intimidating at all. It turned out to be a reflection of its business structure and primary care physician ACO strategy.
"If you get your game plan together ahead of time, independent primary care physicians should be successful in applying for the Medicare Shared Savings Program," stated Dr. Delgado. "We found that Medicare is supportive of this type of ACO, I guess because it sees their potential to improve health care," he said.
The Centers for Medicare & Medicaid Services does indeed support these types of ACOs, as RGVHA qualified for one of the last Advanced Payment Program grants. The CMS is so confident that these physician-led, nonmetropolitan ACOs will work, that the agency actually fronted the infrastructure and operational money to them. RGVHA was one of the last grantees of this one-time appropriation.
They began the MSSP program Jan. 1, 2013, opting not to take risk and to receive 50% of the savings they generated for the 5,000 patients attributed to them, if quality and patient satisfaction metrics are met.
‘I haven’t had this much fun practicing medicine in 10 years!’
To decide what type of initiatives to undertake, the physicians read the Physician’s Accountable Care Toolkit (profiled in an earlier column) and convened a weekend workshop. They were pleasantly surprised when they realized that so many savings and quality improvement opportunities are available to primary care physicians under accountable care – and control over the physician-patient relationship was being returned to them.
They targeted diabetes management, patient engagement, best practices for enhanced prevention and wellness, and home health management.
One physician summed up the mood when she exclaimed, "I haven’t had this much fun practicing medicine in 10 years."
As they celebrate their first year under the MSSP, how are they doing? Check in next month for part 2: Our secret weapon, and our biggest disappointment.
Mr. Bobbitt is a senior partner and head of the Health Law Group at the Smith Anderson law firm in Raleigh, N.C. He has many years’ experience assisting physicians in forming integrated delivery systems. He has spoken and written nationally to primary care physicians on the strategies and practicalities of forming or joining ACOs. This article is meant to be educational and does not constitute legal advice. For additional information, readers may contact the author at [email protected] or at 919-821-6612.
While concepts and theories can go a long way, sometimes the best way to understand something is through a concrete example.
So, from time to time, ACO Insider will check in on a new accountable care organization composed of 14 independent physicians in 11 practices in McAllen, Tex.
We chose them because they share many of the same questions and concerns as quite a few of you readers: Will this work? Where do I begin? How can we do this, since we have no free time or money? How much will this cost? Will there be any shared savings? Do we have to affiliate with a hospital or a large practice? Are we too small? How do we apply for the Medicare Shared Savings Program (MSSP)? What will change in my practice?
The name of the ACO is Rio Grande Valley Health Alliance (RGVHA). It was formed in January 2012 as a "network-model" ACO, meaning that the physicians stay in their separate independent practices but participate in the ACO through contract. Its first – and as of this writing, only – ACO payer contract is with Medicare, the MSSP.
So far, there have been a number of unexpected highs and a number of unexpected lows. The primary care physicians of RGVHA hope that by sharing their story, they can help you better navigate your own ACO course.
Opportunity for primary care
Dr. Luis Delgado became intrigued by the possibility under accountable care of rewarding primary care physicians for the savings they generate while maintaining or improving quality. Instead of resisting change, he saw opportunity.
He also saw a chance to do something about McAllen’s reputation, gained through Dr. Atul Gawande’s 2009 article in the New Yorker entitled, "The Cost Conundrum." That article focused on McAllen’s Medicare health costs, which were almost twice those of its Rio Grande River neighbor, El Paso.
However, beyond having a vision, he had no know-how and no budget.
Fortunately, as readers of this column know, there is so much documented "low-hanging fruit" for primary care to generate savings through value-based care that the strategic time and expertise expenditures proved not to be significant. The legal structure and backroom business logistics for a small network-model primary care physician ACO are also relatively straightforward. RGVHA has two full-time administrative staffers, one part-time president (Dr. Delgado), and one part-time medical director (Dr. Roger Heredia).
However, the new ACO data collection, sorting, and reporting requirements were somewhat daunting – that is, until they met Dr. Gretchen Hoyle of MD Online Solutions (MDOS). Dr. Hoyle is a practicing pediatrician who spearheaded the design of a physician-friendly care management data system for her practice and found it ideal for the accountable care era. Her company targets small- to medium-sized physician-led ACOs.
MDOS was able to tailor a nimble ACO solution scaled to RGVHA’s needs, thus allowing RGVHA to supply its last missing piece in a cost-effective manner. Because she is a practicing physician, Dr. Hoyle helps interpret the data and leads a weekly data-driven staff conference call with the ACO’s nurse care coordinators.
Approved for the Medicare ACO
Despite initial fears, RGVHA found that the MSSP application process was not intimidating at all. It turned out to be a reflection of its business structure and primary care physician ACO strategy.
"If you get your game plan together ahead of time, independent primary care physicians should be successful in applying for the Medicare Shared Savings Program," stated Dr. Delgado. "We found that Medicare is supportive of this type of ACO, I guess because it sees their potential to improve health care," he said.
The Centers for Medicare & Medicaid Services does indeed support these types of ACOs, as RGVHA qualified for one of the last Advanced Payment Program grants. The CMS is so confident that these physician-led, nonmetropolitan ACOs will work, that the agency actually fronted the infrastructure and operational money to them. RGVHA was one of the last grantees of this one-time appropriation.
They began the MSSP program Jan. 1, 2013, opting not to take risk and to receive 50% of the savings they generated for the 5,000 patients attributed to them, if quality and patient satisfaction metrics are met.
‘I haven’t had this much fun practicing medicine in 10 years!’
To decide what type of initiatives to undertake, the physicians read the Physician’s Accountable Care Toolkit (profiled in an earlier column) and convened a weekend workshop. They were pleasantly surprised when they realized that so many savings and quality improvement opportunities are available to primary care physicians under accountable care – and control over the physician-patient relationship was being returned to them.
They targeted diabetes management, patient engagement, best practices for enhanced prevention and wellness, and home health management.
One physician summed up the mood when she exclaimed, "I haven’t had this much fun practicing medicine in 10 years."
As they celebrate their first year under the MSSP, how are they doing? Check in next month for part 2: Our secret weapon, and our biggest disappointment.
Mr. Bobbitt is a senior partner and head of the Health Law Group at the Smith Anderson law firm in Raleigh, N.C. He has many years’ experience assisting physicians in forming integrated delivery systems. He has spoken and written nationally to primary care physicians on the strategies and practicalities of forming or joining ACOs. This article is meant to be educational and does not constitute legal advice. For additional information, readers may contact the author at [email protected] or at 919-821-6612.
While concepts and theories can go a long way, sometimes the best way to understand something is through a concrete example.
So, from time to time, ACO Insider will check in on a new accountable care organization composed of 14 independent physicians in 11 practices in McAllen, Tex.
We chose them because they share many of the same questions and concerns as quite a few of you readers: Will this work? Where do I begin? How can we do this, since we have no free time or money? How much will this cost? Will there be any shared savings? Do we have to affiliate with a hospital or a large practice? Are we too small? How do we apply for the Medicare Shared Savings Program (MSSP)? What will change in my practice?
The name of the ACO is Rio Grande Valley Health Alliance (RGVHA). It was formed in January 2012 as a "network-model" ACO, meaning that the physicians stay in their separate independent practices but participate in the ACO through contract. Its first – and as of this writing, only – ACO payer contract is with Medicare, the MSSP.
So far, there have been a number of unexpected highs and a number of unexpected lows. The primary care physicians of RGVHA hope that by sharing their story, they can help you better navigate your own ACO course.
Opportunity for primary care
Dr. Luis Delgado became intrigued by the possibility under accountable care of rewarding primary care physicians for the savings they generate while maintaining or improving quality. Instead of resisting change, he saw opportunity.
He also saw a chance to do something about McAllen’s reputation, gained through Dr. Atul Gawande’s 2009 article in the New Yorker entitled, "The Cost Conundrum." That article focused on McAllen’s Medicare health costs, which were almost twice those of its Rio Grande River neighbor, El Paso.
However, beyond having a vision, he had no know-how and no budget.
Fortunately, as readers of this column know, there is so much documented "low-hanging fruit" for primary care to generate savings through value-based care that the strategic time and expertise expenditures proved not to be significant. The legal structure and backroom business logistics for a small network-model primary care physician ACO are also relatively straightforward. RGVHA has two full-time administrative staffers, one part-time president (Dr. Delgado), and one part-time medical director (Dr. Roger Heredia).
However, the new ACO data collection, sorting, and reporting requirements were somewhat daunting – that is, until they met Dr. Gretchen Hoyle of MD Online Solutions (MDOS). Dr. Hoyle is a practicing pediatrician who spearheaded the design of a physician-friendly care management data system for her practice and found it ideal for the accountable care era. Her company targets small- to medium-sized physician-led ACOs.
MDOS was able to tailor a nimble ACO solution scaled to RGVHA’s needs, thus allowing RGVHA to supply its last missing piece in a cost-effective manner. Because she is a practicing physician, Dr. Hoyle helps interpret the data and leads a weekly data-driven staff conference call with the ACO’s nurse care coordinators.
Approved for the Medicare ACO
Despite initial fears, RGVHA found that the MSSP application process was not intimidating at all. It turned out to be a reflection of its business structure and primary care physician ACO strategy.
"If you get your game plan together ahead of time, independent primary care physicians should be successful in applying for the Medicare Shared Savings Program," stated Dr. Delgado. "We found that Medicare is supportive of this type of ACO, I guess because it sees their potential to improve health care," he said.
The Centers for Medicare & Medicaid Services does indeed support these types of ACOs, as RGVHA qualified for one of the last Advanced Payment Program grants. The CMS is so confident that these physician-led, nonmetropolitan ACOs will work, that the agency actually fronted the infrastructure and operational money to them. RGVHA was one of the last grantees of this one-time appropriation.
They began the MSSP program Jan. 1, 2013, opting not to take risk and to receive 50% of the savings they generated for the 5,000 patients attributed to them, if quality and patient satisfaction metrics are met.
‘I haven’t had this much fun practicing medicine in 10 years!’
To decide what type of initiatives to undertake, the physicians read the Physician’s Accountable Care Toolkit (profiled in an earlier column) and convened a weekend workshop. They were pleasantly surprised when they realized that so many savings and quality improvement opportunities are available to primary care physicians under accountable care – and control over the physician-patient relationship was being returned to them.
They targeted diabetes management, patient engagement, best practices for enhanced prevention and wellness, and home health management.
One physician summed up the mood when she exclaimed, "I haven’t had this much fun practicing medicine in 10 years."
As they celebrate their first year under the MSSP, how are they doing? Check in next month for part 2: Our secret weapon, and our biggest disappointment.
Mr. Bobbitt is a senior partner and head of the Health Law Group at the Smith Anderson law firm in Raleigh, N.C. He has many years’ experience assisting physicians in forming integrated delivery systems. He has spoken and written nationally to primary care physicians on the strategies and practicalities of forming or joining ACOs. This article is meant to be educational and does not constitute legal advice. For additional information, readers may contact the author at [email protected] or at 919-821-6612.
Insight and involuntary outpatient treatment
In my last column, I summarized a lecture given by Jeffrey Swanson, Ph.D., a medical sociologist who studies outcomes with outpatient civil commitment. Several readers posted comments, including a very articulate letter from Evelyn Burton, a patient advocate who is on the Public Policy Committee of the National Alliance on Mental Illness–Maryland (NAMI MD).
Ms. Burton, along with one or two other commenters, believed that I missed the point of "assisted outpatient treatment" (AOT) and did not understand the target population; and I will contend that, with 20 years of experience in four community mental health centers, including Baltimore’s Health Care for the Homeless, I do understand that there are some people who might do better if forced to undergo treatment. I also understand that the consequences of untreated mental illness can be both trying and tragic for the patients and their families.
Because Maryland has not legalized forced outpatient care, I do not have experience with this, and I was struck by the fact that Dr. Swanson felt that much of the benefit of forcing treatment could be explained by the way AOT obligates society to the patient by granting these patients case management services, housing, and access to mental health care – things that society is not obligated to provide for those with severe psychotic disorders who willingly seek care. Done poorly, AOT is often unenforceable and poorly funded, and laws may be written such that the intended target population – the sickest, most psychotic members of society who cycle in and out of hospitals due to their noncompliance – are not clearly identified as those to receive "assisted" treatment.
While we may agree or disagree as to whether AOT is helpful and under what circumstances and whether it benefits those who might otherwise end up on the streets, in jail, or dead, the truth is that states with AOT still have psychotic people living on the streets and eating from the garbage. AOT has not proven to be a panacea for homelessness, suicide, or wasted lives. I realize that to a parent who fears her child might join those ranks, the heartbreak is immense, and the anecdotes about forced treatment offer hope.
I have no doubt that there are times when AOT, together with its attendant services, provides a lifeline. It’s unfortunate – if not disgraceful – that these services are not routinely provided to our sickest members of society. Still, it’s important to make sure that any given patient’s civil rights be considered. I’m also well aware that there are people who believe that a discussion of civil rights has no place in the treatment of psychosis, and there we will need to respectfully disagree.
While Ms. Burton’s heartfelt letter was articulate and compelling, I have to say that I was taken back by one paragraph. I expressed concern that patients do not generally endorse involuntary treatments, and I suggested that we need to look at why the treatments we offer are not palatable to those receiving forced care.
Ms. Burton responded:
"You do not need to waste your time trying to figure out why your treatment is not palatable to this particular group of individuals. NAMI MD families can tell you, you are asking the wrong question. It has nothing to do with palatable services and everything to do with anosognosia."
I was baffled by this. Compliant patients with good insight complain about side effects. If they take antipsychotic medications, they sometimes feel sedated, and they are told of the risks of weight gain, diabetes, and hyperlipidemia, conditions that can decrease both the quality and length of their lives. Sometimes we have little choice and are left to say that we believe the benefit to the patient is worth the trade-off, but with voluntary patients, the ultimate decision is theirs. Sometimes patients talk with their feet. Sometimes they fare better without medications, therapy, and the other treatments we have to offer, and sometimes they fare catastrophically worse. If they always did better, lived fuller, healthier, happier, and longer lives with the treatments we offer, the choice would be simple. Unfortunately, the medications we offer to treat psychosis are not benign.
The idea that "anosognosia," or simply lack of insight, is the pivotal issue, is a difficult one. People with substance abuse disorders, especially alcoholism and cannabis abuse, may insist that their use of these intoxicants is consistent with the societal norms around them and deny that it’s a problem, despite the difficulties it brings to them. And people with major mental illnesses may deny their existence, but still come to appointments and take prescribed medications. Patients can lack insight at one point in time and gain it later. The issue should not be the patient’s insight, because that label may be stamped on anyone who simply disagrees with their diagnosis or treatment recommendations.
The risk of labeling people with anosognosia is that we might cease to see them as humans, that we might write off their resistance to treatment as simply an inability to know what’s best for them, in a way that enables us to close our ears to what may well be their valid concerns. It may become too easy to say that the court order calls for the medications, and changing doses or medications to alter the risks or the side-effect profile is no longer part of the effort. Such a mind-set may lead the psychiatrist to complacence and disregard for the patient’s concerns.
Why take the time to know the patient, to develop rapport, to convince the patient to come to therapy and to try medications on his terms, when a court order might cut all those corners and a nurse can administer an injection? That’s not the targeted group of patients, you say, that’s not whom AOT captures. If we’re not careful – if we feel that addressing the concerns of our patients is simply a "waste of time" because, after all, they have no insight – then we risk losing sight of what needs to be our real goal: helping patients to live the lives they want to live in productive and meaningful ways. Forcing treatment may get one person help at a particular period in time, but it comes with a cost: It leaves some patients afraid to seek voluntary care for fear of what may occur down the line, and it stigmatizes our profession. Finally, it makes us the adversaries of the patients we serve.
It would be easy to read this and think I’m against involuntary outpatient treatment, and that’s not completely true (ah, it’s mostly true). If involuntary treatment is limited to those patients who cycle in and out of hospitals and jails because of noncompliance, who become dangerous when ill, for whom treatment has proven to be effective, and who have failed thoughtful attempts at voluntary care, then forced care with its array of ancillary services and housing provisions may be a reasonable resource, regardless of the patient’s level of insight. Still, I remain interested in making our treatments more palatable to all of our patients – those who are forced into care as well as those who come willingly – and I believe it’s a mistake to see that effort as a waste of anyone’s time.
Dr. Miller is a coauthor of "Shrink Rap: Three Psychiatrists Explain Their Work" (Baltimore: The Johns Hopkins University Press, 2011).
In my last column, I summarized a lecture given by Jeffrey Swanson, Ph.D., a medical sociologist who studies outcomes with outpatient civil commitment. Several readers posted comments, including a very articulate letter from Evelyn Burton, a patient advocate who is on the Public Policy Committee of the National Alliance on Mental Illness–Maryland (NAMI MD).
Ms. Burton, along with one or two other commenters, believed that I missed the point of "assisted outpatient treatment" (AOT) and did not understand the target population; and I will contend that, with 20 years of experience in four community mental health centers, including Baltimore’s Health Care for the Homeless, I do understand that there are some people who might do better if forced to undergo treatment. I also understand that the consequences of untreated mental illness can be both trying and tragic for the patients and their families.
Because Maryland has not legalized forced outpatient care, I do not have experience with this, and I was struck by the fact that Dr. Swanson felt that much of the benefit of forcing treatment could be explained by the way AOT obligates society to the patient by granting these patients case management services, housing, and access to mental health care – things that society is not obligated to provide for those with severe psychotic disorders who willingly seek care. Done poorly, AOT is often unenforceable and poorly funded, and laws may be written such that the intended target population – the sickest, most psychotic members of society who cycle in and out of hospitals due to their noncompliance – are not clearly identified as those to receive "assisted" treatment.
While we may agree or disagree as to whether AOT is helpful and under what circumstances and whether it benefits those who might otherwise end up on the streets, in jail, or dead, the truth is that states with AOT still have psychotic people living on the streets and eating from the garbage. AOT has not proven to be a panacea for homelessness, suicide, or wasted lives. I realize that to a parent who fears her child might join those ranks, the heartbreak is immense, and the anecdotes about forced treatment offer hope.
I have no doubt that there are times when AOT, together with its attendant services, provides a lifeline. It’s unfortunate – if not disgraceful – that these services are not routinely provided to our sickest members of society. Still, it’s important to make sure that any given patient’s civil rights be considered. I’m also well aware that there are people who believe that a discussion of civil rights has no place in the treatment of psychosis, and there we will need to respectfully disagree.
While Ms. Burton’s heartfelt letter was articulate and compelling, I have to say that I was taken back by one paragraph. I expressed concern that patients do not generally endorse involuntary treatments, and I suggested that we need to look at why the treatments we offer are not palatable to those receiving forced care.
Ms. Burton responded:
"You do not need to waste your time trying to figure out why your treatment is not palatable to this particular group of individuals. NAMI MD families can tell you, you are asking the wrong question. It has nothing to do with palatable services and everything to do with anosognosia."
I was baffled by this. Compliant patients with good insight complain about side effects. If they take antipsychotic medications, they sometimes feel sedated, and they are told of the risks of weight gain, diabetes, and hyperlipidemia, conditions that can decrease both the quality and length of their lives. Sometimes we have little choice and are left to say that we believe the benefit to the patient is worth the trade-off, but with voluntary patients, the ultimate decision is theirs. Sometimes patients talk with their feet. Sometimes they fare better without medications, therapy, and the other treatments we have to offer, and sometimes they fare catastrophically worse. If they always did better, lived fuller, healthier, happier, and longer lives with the treatments we offer, the choice would be simple. Unfortunately, the medications we offer to treat psychosis are not benign.
The idea that "anosognosia," or simply lack of insight, is the pivotal issue, is a difficult one. People with substance abuse disorders, especially alcoholism and cannabis abuse, may insist that their use of these intoxicants is consistent with the societal norms around them and deny that it’s a problem, despite the difficulties it brings to them. And people with major mental illnesses may deny their existence, but still come to appointments and take prescribed medications. Patients can lack insight at one point in time and gain it later. The issue should not be the patient’s insight, because that label may be stamped on anyone who simply disagrees with their diagnosis or treatment recommendations.
The risk of labeling people with anosognosia is that we might cease to see them as humans, that we might write off their resistance to treatment as simply an inability to know what’s best for them, in a way that enables us to close our ears to what may well be their valid concerns. It may become too easy to say that the court order calls for the medications, and changing doses or medications to alter the risks or the side-effect profile is no longer part of the effort. Such a mind-set may lead the psychiatrist to complacence and disregard for the patient’s concerns.
Why take the time to know the patient, to develop rapport, to convince the patient to come to therapy and to try medications on his terms, when a court order might cut all those corners and a nurse can administer an injection? That’s not the targeted group of patients, you say, that’s not whom AOT captures. If we’re not careful – if we feel that addressing the concerns of our patients is simply a "waste of time" because, after all, they have no insight – then we risk losing sight of what needs to be our real goal: helping patients to live the lives they want to live in productive and meaningful ways. Forcing treatment may get one person help at a particular period in time, but it comes with a cost: It leaves some patients afraid to seek voluntary care for fear of what may occur down the line, and it stigmatizes our profession. Finally, it makes us the adversaries of the patients we serve.
It would be easy to read this and think I’m against involuntary outpatient treatment, and that’s not completely true (ah, it’s mostly true). If involuntary treatment is limited to those patients who cycle in and out of hospitals and jails because of noncompliance, who become dangerous when ill, for whom treatment has proven to be effective, and who have failed thoughtful attempts at voluntary care, then forced care with its array of ancillary services and housing provisions may be a reasonable resource, regardless of the patient’s level of insight. Still, I remain interested in making our treatments more palatable to all of our patients – those who are forced into care as well as those who come willingly – and I believe it’s a mistake to see that effort as a waste of anyone’s time.
Dr. Miller is a coauthor of "Shrink Rap: Three Psychiatrists Explain Their Work" (Baltimore: The Johns Hopkins University Press, 2011).
In my last column, I summarized a lecture given by Jeffrey Swanson, Ph.D., a medical sociologist who studies outcomes with outpatient civil commitment. Several readers posted comments, including a very articulate letter from Evelyn Burton, a patient advocate who is on the Public Policy Committee of the National Alliance on Mental Illness–Maryland (NAMI MD).
Ms. Burton, along with one or two other commenters, believed that I missed the point of "assisted outpatient treatment" (AOT) and did not understand the target population; and I will contend that, with 20 years of experience in four community mental health centers, including Baltimore’s Health Care for the Homeless, I do understand that there are some people who might do better if forced to undergo treatment. I also understand that the consequences of untreated mental illness can be both trying and tragic for the patients and their families.
Because Maryland has not legalized forced outpatient care, I do not have experience with this, and I was struck by the fact that Dr. Swanson felt that much of the benefit of forcing treatment could be explained by the way AOT obligates society to the patient by granting these patients case management services, housing, and access to mental health care – things that society is not obligated to provide for those with severe psychotic disorders who willingly seek care. Done poorly, AOT is often unenforceable and poorly funded, and laws may be written such that the intended target population – the sickest, most psychotic members of society who cycle in and out of hospitals due to their noncompliance – are not clearly identified as those to receive "assisted" treatment.
While we may agree or disagree as to whether AOT is helpful and under what circumstances and whether it benefits those who might otherwise end up on the streets, in jail, or dead, the truth is that states with AOT still have psychotic people living on the streets and eating from the garbage. AOT has not proven to be a panacea for homelessness, suicide, or wasted lives. I realize that to a parent who fears her child might join those ranks, the heartbreak is immense, and the anecdotes about forced treatment offer hope.
I have no doubt that there are times when AOT, together with its attendant services, provides a lifeline. It’s unfortunate – if not disgraceful – that these services are not routinely provided to our sickest members of society. Still, it’s important to make sure that any given patient’s civil rights be considered. I’m also well aware that there are people who believe that a discussion of civil rights has no place in the treatment of psychosis, and there we will need to respectfully disagree.
While Ms. Burton’s heartfelt letter was articulate and compelling, I have to say that I was taken back by one paragraph. I expressed concern that patients do not generally endorse involuntary treatments, and I suggested that we need to look at why the treatments we offer are not palatable to those receiving forced care.
Ms. Burton responded:
"You do not need to waste your time trying to figure out why your treatment is not palatable to this particular group of individuals. NAMI MD families can tell you, you are asking the wrong question. It has nothing to do with palatable services and everything to do with anosognosia."
I was baffled by this. Compliant patients with good insight complain about side effects. If they take antipsychotic medications, they sometimes feel sedated, and they are told of the risks of weight gain, diabetes, and hyperlipidemia, conditions that can decrease both the quality and length of their lives. Sometimes we have little choice and are left to say that we believe the benefit to the patient is worth the trade-off, but with voluntary patients, the ultimate decision is theirs. Sometimes patients talk with their feet. Sometimes they fare better without medications, therapy, and the other treatments we have to offer, and sometimes they fare catastrophically worse. If they always did better, lived fuller, healthier, happier, and longer lives with the treatments we offer, the choice would be simple. Unfortunately, the medications we offer to treat psychosis are not benign.
The idea that "anosognosia," or simply lack of insight, is the pivotal issue, is a difficult one. People with substance abuse disorders, especially alcoholism and cannabis abuse, may insist that their use of these intoxicants is consistent with the societal norms around them and deny that it’s a problem, despite the difficulties it brings to them. And people with major mental illnesses may deny their existence, but still come to appointments and take prescribed medications. Patients can lack insight at one point in time and gain it later. The issue should not be the patient’s insight, because that label may be stamped on anyone who simply disagrees with their diagnosis or treatment recommendations.
The risk of labeling people with anosognosia is that we might cease to see them as humans, that we might write off their resistance to treatment as simply an inability to know what’s best for them, in a way that enables us to close our ears to what may well be their valid concerns. It may become too easy to say that the court order calls for the medications, and changing doses or medications to alter the risks or the side-effect profile is no longer part of the effort. Such a mind-set may lead the psychiatrist to complacence and disregard for the patient’s concerns.
Why take the time to know the patient, to develop rapport, to convince the patient to come to therapy and to try medications on his terms, when a court order might cut all those corners and a nurse can administer an injection? That’s not the targeted group of patients, you say, that’s not whom AOT captures. If we’re not careful – if we feel that addressing the concerns of our patients is simply a "waste of time" because, after all, they have no insight – then we risk losing sight of what needs to be our real goal: helping patients to live the lives they want to live in productive and meaningful ways. Forcing treatment may get one person help at a particular period in time, but it comes with a cost: It leaves some patients afraid to seek voluntary care for fear of what may occur down the line, and it stigmatizes our profession. Finally, it makes us the adversaries of the patients we serve.
It would be easy to read this and think I’m against involuntary outpatient treatment, and that’s not completely true (ah, it’s mostly true). If involuntary treatment is limited to those patients who cycle in and out of hospitals and jails because of noncompliance, who become dangerous when ill, for whom treatment has proven to be effective, and who have failed thoughtful attempts at voluntary care, then forced care with its array of ancillary services and housing provisions may be a reasonable resource, regardless of the patient’s level of insight. Still, I remain interested in making our treatments more palatable to all of our patients – those who are forced into care as well as those who come willingly – and I believe it’s a mistake to see that effort as a waste of anyone’s time.
Dr. Miller is a coauthor of "Shrink Rap: Three Psychiatrists Explain Their Work" (Baltimore: The Johns Hopkins University Press, 2011).
Photodynamic therapy: ‘Often not worth the trouble’
WAIKOLOA, HAWAII – Just because a dermatologist has photodynamic therapy equipment in the office doesn’t mean it should be applied to every skin condition that comes through the door, Dr. Jerome M. Garden cautioned at the Hawaii Dermatology Seminar sponsored by the Global Academy for Medical Education/Skin Disease Education Foundation.
"Used selectively, I think PDT can be truly worthwhile in some of our patients. But we run into problems when we decide it’s a cure-all for everything. Just because it’s available does not always make it the best choice around," said Dr. Garden, who is director of the Physicians Laser and Dermatology Institute as well as a professor of clinical dermatology and biomedical engineering at Northwestern University in Chicago.
Looking through the literature, it’s quickly apparent that PDT has been used to treat a bewildering array of dermatologic disorders, in most cases with less than stellar results.
"In my practice, I’m using PDT to treat just two things: actinic keratoses and actinic cheilitis, which is a close cousin. Why am I not using it to treat more disease processes? Because it has to be worth it. PDT is not simple to do. It takes a lot of your time and it costs you money. Insurance doesn’t necessarily help you with this. Either the patient’s insurance will reimburse you at an incredibly low rate, where it’s basically costing you money to do it, or you go outside of the insurance – and PDT is an expensive procedure," he noted.
The substantial time expenditure involved in PDT stems from the need to use microdermabrasion or another method of skin preparation to help the topical photosensitizing agent penetrate better. This is followed by an incubation time of 1-3 hours as the photosensitizer finds its target, and then light therapy to create the reactive oxygen species, which kills the targeted cells. The duration of light therapy is source dependent; blue light, for example, must be applied for 15-20 minutes.
PDT has other shortcomings in addition to the cost and time involved. It can be painful and entails several days of down time because of scaling and crusting. Plus, multiple treatment sessions are usually required, the dermatologist continued.
The 2012 American Society for Dermatologic Surgery member survey found that dermatologic surgeons performed roughly 205,000 PDT procedures during the year. The bulk was for actinic keratoses, acne, and rosacea.
"I didn’t even know until I saw this list that anybody treats rosacea with PDT," noted Dr. Garden. "A lot of people out there who are doing PDT use it for many more things than I do. But I’m just telling you what I do."
"I’ve tried it for acne. It helps, but depending on the light source, it can be a painful procedure. There’s a lot of desquamation afterward, and you have to go through it a few times. So you have to have a highly motivated patient – and even then, it doesn’t work all the time," he said.
Dr. Garden cited a Danish split-face study of pulsed-dye laser-assisted PDT vs. pulsed-dye laser therapy alone. Twelve weeks after completing three treatment sessions, the PDT side showed an 80% reduction in inflammatory acne lesions, compared with a 67% drop with pulsed-dye laser, and a 53% decrease in noninflammatory lesions compared to a 42% reduction with laser alone (J. Am. Acad. Dermatol. 2008; 58:387-94).
"Even without the topical photosensitizer, patients did pretty well," he commented.
As for PDT in cutaneous malignancies, Dr. Garden highlighted a recent literature review by dermatologists at the University of South Florida, Tampa, which concluded that the therapy is equivalent or superior to cryosurgery for actinic keratoses. The investigators also deemed PDT suitable for Bowen’s disease lesions provided they are large, widespread, or on difficult to treat areas, as well as for squamous cell carcinomas, but only when surgery is contraindicated. PDT may also provide better cosmetic outcomes than surgery or cryosurgery for superficial basal cell carcinomas (Dermatol. Surg. 2013;39:1733-44).
Dr. Garden called PDT his current first-line treatment for actinic cheilitis.
"I used to use the CO2 laser exclusively. It works very well, much better than PDT. But when I’d strip off the top layer of skin with the CO2 laser, patients would end up with an open wound that took a long time to heal. That’s hard for the patient to tolerate. And occasionally we’d see fibrosis of the lip. You don’t see that with PDT, although with PDT you usually need to do two or three treatments, and the area is red and swollen for 2-4 days. I like PDT. It’s my go-to therapy. When it fails, I turn on the CO2 laser," he said.
In treating actinic keratoses, he reserves PDT for patients with numerous lesions over a large field.
"It does work, but it’s a lot of effort. So if you’re just going after a handful of [actinic keratoses] do you need PDT? Probably not," Dr. Garden said.
Ending on an encouraging note, the dermatologist pointed to the ongoing substantial research commitment to PDT as very promising. Finding more specific photosensitizers is a priority. And ablative fractional laser-assisted delivery of the standard photosensitizer methyl aminolevulinic acid appears to be "an exciting development," in Dr. Garden’s view, although to date the work is limited to animal studies.
Dr. Garden reported having financial relationships with Alma, Candela & Syneron, and Palomar/Cynosure.
The SDEF and this news organization are owned by the same parent company.
WAIKOLOA, HAWAII – Just because a dermatologist has photodynamic therapy equipment in the office doesn’t mean it should be applied to every skin condition that comes through the door, Dr. Jerome M. Garden cautioned at the Hawaii Dermatology Seminar sponsored by the Global Academy for Medical Education/Skin Disease Education Foundation.
"Used selectively, I think PDT can be truly worthwhile in some of our patients. But we run into problems when we decide it’s a cure-all for everything. Just because it’s available does not always make it the best choice around," said Dr. Garden, who is director of the Physicians Laser and Dermatology Institute as well as a professor of clinical dermatology and biomedical engineering at Northwestern University in Chicago.
Looking through the literature, it’s quickly apparent that PDT has been used to treat a bewildering array of dermatologic disorders, in most cases with less than stellar results.
"In my practice, I’m using PDT to treat just two things: actinic keratoses and actinic cheilitis, which is a close cousin. Why am I not using it to treat more disease processes? Because it has to be worth it. PDT is not simple to do. It takes a lot of your time and it costs you money. Insurance doesn’t necessarily help you with this. Either the patient’s insurance will reimburse you at an incredibly low rate, where it’s basically costing you money to do it, or you go outside of the insurance – and PDT is an expensive procedure," he noted.
The substantial time expenditure involved in PDT stems from the need to use microdermabrasion or another method of skin preparation to help the topical photosensitizing agent penetrate better. This is followed by an incubation time of 1-3 hours as the photosensitizer finds its target, and then light therapy to create the reactive oxygen species, which kills the targeted cells. The duration of light therapy is source dependent; blue light, for example, must be applied for 15-20 minutes.
PDT has other shortcomings in addition to the cost and time involved. It can be painful and entails several days of down time because of scaling and crusting. Plus, multiple treatment sessions are usually required, the dermatologist continued.
The 2012 American Society for Dermatologic Surgery member survey found that dermatologic surgeons performed roughly 205,000 PDT procedures during the year. The bulk was for actinic keratoses, acne, and rosacea.
"I didn’t even know until I saw this list that anybody treats rosacea with PDT," noted Dr. Garden. "A lot of people out there who are doing PDT use it for many more things than I do. But I’m just telling you what I do."
"I’ve tried it for acne. It helps, but depending on the light source, it can be a painful procedure. There’s a lot of desquamation afterward, and you have to go through it a few times. So you have to have a highly motivated patient – and even then, it doesn’t work all the time," he said.
Dr. Garden cited a Danish split-face study of pulsed-dye laser-assisted PDT vs. pulsed-dye laser therapy alone. Twelve weeks after completing three treatment sessions, the PDT side showed an 80% reduction in inflammatory acne lesions, compared with a 67% drop with pulsed-dye laser, and a 53% decrease in noninflammatory lesions compared to a 42% reduction with laser alone (J. Am. Acad. Dermatol. 2008; 58:387-94).
"Even without the topical photosensitizer, patients did pretty well," he commented.
As for PDT in cutaneous malignancies, Dr. Garden highlighted a recent literature review by dermatologists at the University of South Florida, Tampa, which concluded that the therapy is equivalent or superior to cryosurgery for actinic keratoses. The investigators also deemed PDT suitable for Bowen’s disease lesions provided they are large, widespread, or on difficult to treat areas, as well as for squamous cell carcinomas, but only when surgery is contraindicated. PDT may also provide better cosmetic outcomes than surgery or cryosurgery for superficial basal cell carcinomas (Dermatol. Surg. 2013;39:1733-44).
Dr. Garden called PDT his current first-line treatment for actinic cheilitis.
"I used to use the CO2 laser exclusively. It works very well, much better than PDT. But when I’d strip off the top layer of skin with the CO2 laser, patients would end up with an open wound that took a long time to heal. That’s hard for the patient to tolerate. And occasionally we’d see fibrosis of the lip. You don’t see that with PDT, although with PDT you usually need to do two or three treatments, and the area is red and swollen for 2-4 days. I like PDT. It’s my go-to therapy. When it fails, I turn on the CO2 laser," he said.
In treating actinic keratoses, he reserves PDT for patients with numerous lesions over a large field.
"It does work, but it’s a lot of effort. So if you’re just going after a handful of [actinic keratoses] do you need PDT? Probably not," Dr. Garden said.
Ending on an encouraging note, the dermatologist pointed to the ongoing substantial research commitment to PDT as very promising. Finding more specific photosensitizers is a priority. And ablative fractional laser-assisted delivery of the standard photosensitizer methyl aminolevulinic acid appears to be "an exciting development," in Dr. Garden’s view, although to date the work is limited to animal studies.
Dr. Garden reported having financial relationships with Alma, Candela & Syneron, and Palomar/Cynosure.
The SDEF and this news organization are owned by the same parent company.
WAIKOLOA, HAWAII – Just because a dermatologist has photodynamic therapy equipment in the office doesn’t mean it should be applied to every skin condition that comes through the door, Dr. Jerome M. Garden cautioned at the Hawaii Dermatology Seminar sponsored by the Global Academy for Medical Education/Skin Disease Education Foundation.
"Used selectively, I think PDT can be truly worthwhile in some of our patients. But we run into problems when we decide it’s a cure-all for everything. Just because it’s available does not always make it the best choice around," said Dr. Garden, who is director of the Physicians Laser and Dermatology Institute as well as a professor of clinical dermatology and biomedical engineering at Northwestern University in Chicago.
Looking through the literature, it’s quickly apparent that PDT has been used to treat a bewildering array of dermatologic disorders, in most cases with less than stellar results.
"In my practice, I’m using PDT to treat just two things: actinic keratoses and actinic cheilitis, which is a close cousin. Why am I not using it to treat more disease processes? Because it has to be worth it. PDT is not simple to do. It takes a lot of your time and it costs you money. Insurance doesn’t necessarily help you with this. Either the patient’s insurance will reimburse you at an incredibly low rate, where it’s basically costing you money to do it, or you go outside of the insurance – and PDT is an expensive procedure," he noted.
The substantial time expenditure involved in PDT stems from the need to use microdermabrasion or another method of skin preparation to help the topical photosensitizing agent penetrate better. This is followed by an incubation time of 1-3 hours as the photosensitizer finds its target, and then light therapy to create the reactive oxygen species, which kills the targeted cells. The duration of light therapy is source dependent; blue light, for example, must be applied for 15-20 minutes.
PDT has other shortcomings in addition to the cost and time involved. It can be painful and entails several days of down time because of scaling and crusting. Plus, multiple treatment sessions are usually required, the dermatologist continued.
The 2012 American Society for Dermatologic Surgery member survey found that dermatologic surgeons performed roughly 205,000 PDT procedures during the year. The bulk was for actinic keratoses, acne, and rosacea.
"I didn’t even know until I saw this list that anybody treats rosacea with PDT," noted Dr. Garden. "A lot of people out there who are doing PDT use it for many more things than I do. But I’m just telling you what I do."
"I’ve tried it for acne. It helps, but depending on the light source, it can be a painful procedure. There’s a lot of desquamation afterward, and you have to go through it a few times. So you have to have a highly motivated patient – and even then, it doesn’t work all the time," he said.
Dr. Garden cited a Danish split-face study of pulsed-dye laser-assisted PDT vs. pulsed-dye laser therapy alone. Twelve weeks after completing three treatment sessions, the PDT side showed an 80% reduction in inflammatory acne lesions, compared with a 67% drop with pulsed-dye laser, and a 53% decrease in noninflammatory lesions compared to a 42% reduction with laser alone (J. Am. Acad. Dermatol. 2008; 58:387-94).
"Even without the topical photosensitizer, patients did pretty well," he commented.
As for PDT in cutaneous malignancies, Dr. Garden highlighted a recent literature review by dermatologists at the University of South Florida, Tampa, which concluded that the therapy is equivalent or superior to cryosurgery for actinic keratoses. The investigators also deemed PDT suitable for Bowen’s disease lesions provided they are large, widespread, or on difficult to treat areas, as well as for squamous cell carcinomas, but only when surgery is contraindicated. PDT may also provide better cosmetic outcomes than surgery or cryosurgery for superficial basal cell carcinomas (Dermatol. Surg. 2013;39:1733-44).
Dr. Garden called PDT his current first-line treatment for actinic cheilitis.
"I used to use the CO2 laser exclusively. It works very well, much better than PDT. But when I’d strip off the top layer of skin with the CO2 laser, patients would end up with an open wound that took a long time to heal. That’s hard for the patient to tolerate. And occasionally we’d see fibrosis of the lip. You don’t see that with PDT, although with PDT you usually need to do two or three treatments, and the area is red and swollen for 2-4 days. I like PDT. It’s my go-to therapy. When it fails, I turn on the CO2 laser," he said.
In treating actinic keratoses, he reserves PDT for patients with numerous lesions over a large field.
"It does work, but it’s a lot of effort. So if you’re just going after a handful of [actinic keratoses] do you need PDT? Probably not," Dr. Garden said.
Ending on an encouraging note, the dermatologist pointed to the ongoing substantial research commitment to PDT as very promising. Finding more specific photosensitizers is a priority. And ablative fractional laser-assisted delivery of the standard photosensitizer methyl aminolevulinic acid appears to be "an exciting development," in Dr. Garden’s view, although to date the work is limited to animal studies.
Dr. Garden reported having financial relationships with Alma, Candela & Syneron, and Palomar/Cynosure.
The SDEF and this news organization are owned by the same parent company.
EXPERT ANALYSIS FROM SDEF HAWAII DERMATOLOGY SEMINAR
Study reveals potential target for mucositis, GVHD prevention
Results of preclinical research point to a possible way of preventing mucositis, graft-vs-host disease, and other disorders associated with epithelial permeability.
Investigators created a mouse model of mucositis and discovered that interleukin-1 (IL-1) beta, a protein secreted by the stressed mucosa, played an important role in the condition.
But inhibiting IL-1 beta alleviated mucositis. So the researchers speculated that targeting IL-1 beta might prevent mucositis in humans.
Naama Kanarek, a doctoral student at Hebrew University Hadassah Medical School in Jerusalem, and her colleagues described this research in PNAS.
The investigators began by generating a mouse model deficient in a gene encoding the enzyme beta-TrCP. They chose this enzyme because it’s a major regulator of inflammatory cascades.
The team found that beta-TrCP deletion in the gut caused mucosal DNA damage in the mice, mimicking the effects of chemotherapy and irradiation. Similar to human patients, a severe mucositis reaction occurred in mice that were genetically engineered to be beta-TrCP-deficient.
Tracing the pathological basis of the mouse mucositis revealed that the source of the problem was IL-1 beta. IL-1 beta opened the gut lining, allowing gut bacteria to penetrate and destroy the gut interior.
To confirm this finding, the researchers treated mice with an antibody neutralizing IL-1 beta prior to deleting beta-TrCP. They found this prevented the onset of mucositis.
Therefore, the team has proposed that IL-1 receptor agonists should be tested as mucositis prophylaxis in humans. An example is anakinra (Kineret), which is used to treat chronic inflammatory conditions, such as rheumatoid arthritis and Crohn’s disease.
The investigators believe such treatments might also be used to prevent graft-vs-host disease, burn injuries, head and neck trauma, and other disorders associated with
epithelial permeability.
Results of preclinical research point to a possible way of preventing mucositis, graft-vs-host disease, and other disorders associated with epithelial permeability.
Investigators created a mouse model of mucositis and discovered that interleukin-1 (IL-1) beta, a protein secreted by the stressed mucosa, played an important role in the condition.
But inhibiting IL-1 beta alleviated mucositis. So the researchers speculated that targeting IL-1 beta might prevent mucositis in humans.
Naama Kanarek, a doctoral student at Hebrew University Hadassah Medical School in Jerusalem, and her colleagues described this research in PNAS.
The investigators began by generating a mouse model deficient in a gene encoding the enzyme beta-TrCP. They chose this enzyme because it’s a major regulator of inflammatory cascades.
The team found that beta-TrCP deletion in the gut caused mucosal DNA damage in the mice, mimicking the effects of chemotherapy and irradiation. Similar to human patients, a severe mucositis reaction occurred in mice that were genetically engineered to be beta-TrCP-deficient.
Tracing the pathological basis of the mouse mucositis revealed that the source of the problem was IL-1 beta. IL-1 beta opened the gut lining, allowing gut bacteria to penetrate and destroy the gut interior.
To confirm this finding, the researchers treated mice with an antibody neutralizing IL-1 beta prior to deleting beta-TrCP. They found this prevented the onset of mucositis.
Therefore, the team has proposed that IL-1 receptor agonists should be tested as mucositis prophylaxis in humans. An example is anakinra (Kineret), which is used to treat chronic inflammatory conditions, such as rheumatoid arthritis and Crohn’s disease.
The investigators believe such treatments might also be used to prevent graft-vs-host disease, burn injuries, head and neck trauma, and other disorders associated with
epithelial permeability.
Results of preclinical research point to a possible way of preventing mucositis, graft-vs-host disease, and other disorders associated with epithelial permeability.
Investigators created a mouse model of mucositis and discovered that interleukin-1 (IL-1) beta, a protein secreted by the stressed mucosa, played an important role in the condition.
But inhibiting IL-1 beta alleviated mucositis. So the researchers speculated that targeting IL-1 beta might prevent mucositis in humans.
Naama Kanarek, a doctoral student at Hebrew University Hadassah Medical School in Jerusalem, and her colleagues described this research in PNAS.
The investigators began by generating a mouse model deficient in a gene encoding the enzyme beta-TrCP. They chose this enzyme because it’s a major regulator of inflammatory cascades.
The team found that beta-TrCP deletion in the gut caused mucosal DNA damage in the mice, mimicking the effects of chemotherapy and irradiation. Similar to human patients, a severe mucositis reaction occurred in mice that were genetically engineered to be beta-TrCP-deficient.
Tracing the pathological basis of the mouse mucositis revealed that the source of the problem was IL-1 beta. IL-1 beta opened the gut lining, allowing gut bacteria to penetrate and destroy the gut interior.
To confirm this finding, the researchers treated mice with an antibody neutralizing IL-1 beta prior to deleting beta-TrCP. They found this prevented the onset of mucositis.
Therefore, the team has proposed that IL-1 receptor agonists should be tested as mucositis prophylaxis in humans. An example is anakinra (Kineret), which is used to treat chronic inflammatory conditions, such as rheumatoid arthritis and Crohn’s disease.
The investigators believe such treatments might also be used to prevent graft-vs-host disease, burn injuries, head and neck trauma, and other disorders associated with
epithelial permeability.
Investigating the cause of infant leukemias
Infants who develop leukemia during the first year of life inherit a combination of genetic variations that can make them highly susceptible to the disease, according to a study published in Leukemia.
Results of whole-exome sequencing suggested that infants with leukemia inherited genetic variants from both parents that, by themselves, would not cause leukemia but, in combination, put the infants at high risk of developing the disease.
“We sequenced every single gene and found that infants with leukemia were born with an excess of damaging changes in genes known to be linked to leukemia,” said study author Todd Druley, MD, PhD, of Washington University School of Medicine in St Louis, Missouri.
“For each child, both parents carried a few harmful genetic variations in their DNA, and, just by chance, their child inherited all of these changes.”
However, it’s unlikely that the inherited variations alone cause leukemia, Dr Druley said. The infants likely needed to accumulate a few additional variations.
To uncover these findings, Dr Druley and his colleagues performed whole-exome sequencing in infants with acute myeloid leukemia (AML), infants with acute lymphoblastic leukemia (ALL), and the mothers of these children. The researchers used the process of elimination to determine a father’s contribution to a child’s DNA.
Among the 23 families studied, there was no history of pediatric cancers. As a comparison, the researchers also sequenced the DNA of 25 healthy children.
The team found the average amount of congenital coding variations was higher in infants with leukemia than in their mothers or the control subjects. The average total variants per exome was 1264.4 in infants with ALL, 1112.6 in their mothers, 2549.9 in infants with AML, 1225.0 in their mothers, and 582.8 in healthy controls.
The researchers then decided to home in on variants that were likely to impart a functional effect associated with leukemia. Using the COSMIC database, the team identified 126 ALL-associated genes and 655 AML-associated genes.
They found an average of 12.1 variants per ALL patient in the ALL-associated genes and 163.4 variants per AML patient in the AML-associated genes. There were 6.4 ALL-associated variants in the ALL patients’ mothers, 132.5 AML-associated variants in the AML patients’ mothers, 1.9 ALL variants in controls, and 27.5 AML variants in controls.
To prioritize genes that might be most relevant to infant leukemia, the researchers looked for compound heterozygous genes and the genes that were most commonly variant in all patients.
All of the infants with AML and 50% of the infants with ALL were compound heterozygotes for MLL3. Sixty-seven percent of AML patients were compound heterozygotes for RYR1 and FLG, and 50% of ALL patients were compound heterozygotes for RBMX.
The most variant (but not necessarily compound heterozygous) AML-associated genes in infants with AML were TTN, MLL3, and FLG. But the ALL-associated genes MDN1, SYNE1, and MLL2 were frequently variable in AML patients as well.
For infants with ALL, MDN1 was the most variable ALL-associated gene. But these infants also had frequent variations in the AML-associated genes TTN, RBMX, and MLL3.
Dr Druley and his colleagues plan to study these variations in more detail to understand how they contribute to infant leukemia development.
Infants who develop leukemia during the first year of life inherit a combination of genetic variations that can make them highly susceptible to the disease, according to a study published in Leukemia.
Results of whole-exome sequencing suggested that infants with leukemia inherited genetic variants from both parents that, by themselves, would not cause leukemia but, in combination, put the infants at high risk of developing the disease.
“We sequenced every single gene and found that infants with leukemia were born with an excess of damaging changes in genes known to be linked to leukemia,” said study author Todd Druley, MD, PhD, of Washington University School of Medicine in St Louis, Missouri.
“For each child, both parents carried a few harmful genetic variations in their DNA, and, just by chance, their child inherited all of these changes.”
However, it’s unlikely that the inherited variations alone cause leukemia, Dr Druley said. The infants likely needed to accumulate a few additional variations.
To uncover these findings, Dr Druley and his colleagues performed whole-exome sequencing in infants with acute myeloid leukemia (AML), infants with acute lymphoblastic leukemia (ALL), and the mothers of these children. The researchers used the process of elimination to determine a father’s contribution to a child’s DNA.
Among the 23 families studied, there was no history of pediatric cancers. As a comparison, the researchers also sequenced the DNA of 25 healthy children.
The team found the average amount of congenital coding variations was higher in infants with leukemia than in their mothers or the control subjects. The average total variants per exome was 1264.4 in infants with ALL, 1112.6 in their mothers, 2549.9 in infants with AML, 1225.0 in their mothers, and 582.8 in healthy controls.
The researchers then decided to home in on variants that were likely to impart a functional effect associated with leukemia. Using the COSMIC database, the team identified 126 ALL-associated genes and 655 AML-associated genes.
They found an average of 12.1 variants per ALL patient in the ALL-associated genes and 163.4 variants per AML patient in the AML-associated genes. There were 6.4 ALL-associated variants in the ALL patients’ mothers, 132.5 AML-associated variants in the AML patients’ mothers, 1.9 ALL variants in controls, and 27.5 AML variants in controls.
To prioritize genes that might be most relevant to infant leukemia, the researchers looked for compound heterozygous genes and the genes that were most commonly variant in all patients.
All of the infants with AML and 50% of the infants with ALL were compound heterozygotes for MLL3. Sixty-seven percent of AML patients were compound heterozygotes for RYR1 and FLG, and 50% of ALL patients were compound heterozygotes for RBMX.
The most variant (but not necessarily compound heterozygous) AML-associated genes in infants with AML were TTN, MLL3, and FLG. But the ALL-associated genes MDN1, SYNE1, and MLL2 were frequently variable in AML patients as well.
For infants with ALL, MDN1 was the most variable ALL-associated gene. But these infants also had frequent variations in the AML-associated genes TTN, RBMX, and MLL3.
Dr Druley and his colleagues plan to study these variations in more detail to understand how they contribute to infant leukemia development.
Infants who develop leukemia during the first year of life inherit a combination of genetic variations that can make them highly susceptible to the disease, according to a study published in Leukemia.
Results of whole-exome sequencing suggested that infants with leukemia inherited genetic variants from both parents that, by themselves, would not cause leukemia but, in combination, put the infants at high risk of developing the disease.
“We sequenced every single gene and found that infants with leukemia were born with an excess of damaging changes in genes known to be linked to leukemia,” said study author Todd Druley, MD, PhD, of Washington University School of Medicine in St Louis, Missouri.
“For each child, both parents carried a few harmful genetic variations in their DNA, and, just by chance, their child inherited all of these changes.”
However, it’s unlikely that the inherited variations alone cause leukemia, Dr Druley said. The infants likely needed to accumulate a few additional variations.
To uncover these findings, Dr Druley and his colleagues performed whole-exome sequencing in infants with acute myeloid leukemia (AML), infants with acute lymphoblastic leukemia (ALL), and the mothers of these children. The researchers used the process of elimination to determine a father’s contribution to a child’s DNA.
Among the 23 families studied, there was no history of pediatric cancers. As a comparison, the researchers also sequenced the DNA of 25 healthy children.
The team found the average amount of congenital coding variations was higher in infants with leukemia than in their mothers or the control subjects. The average total variants per exome was 1264.4 in infants with ALL, 1112.6 in their mothers, 2549.9 in infants with AML, 1225.0 in their mothers, and 582.8 in healthy controls.
The researchers then decided to home in on variants that were likely to impart a functional effect associated with leukemia. Using the COSMIC database, the team identified 126 ALL-associated genes and 655 AML-associated genes.
They found an average of 12.1 variants per ALL patient in the ALL-associated genes and 163.4 variants per AML patient in the AML-associated genes. There were 6.4 ALL-associated variants in the ALL patients’ mothers, 132.5 AML-associated variants in the AML patients’ mothers, 1.9 ALL variants in controls, and 27.5 AML variants in controls.
To prioritize genes that might be most relevant to infant leukemia, the researchers looked for compound heterozygous genes and the genes that were most commonly variant in all patients.
All of the infants with AML and 50% of the infants with ALL were compound heterozygotes for MLL3. Sixty-seven percent of AML patients were compound heterozygotes for RYR1 and FLG, and 50% of ALL patients were compound heterozygotes for RBMX.
The most variant (but not necessarily compound heterozygous) AML-associated genes in infants with AML were TTN, MLL3, and FLG. But the ALL-associated genes MDN1, SYNE1, and MLL2 were frequently variable in AML patients as well.
For infants with ALL, MDN1 was the most variable ALL-associated gene. But these infants also had frequent variations in the AML-associated genes TTN, RBMX, and MLL3.
Dr Druley and his colleagues plan to study these variations in more detail to understand how they contribute to infant leukemia development.
Malaria maps show progress, room for improvement
Credit: CDC
Malaria prevalence maps indicate that, in 2010, nearly 184 million Africans were still living in areas where there is a high risk of contracting malaria, despite a decade of efforts to control the spread of the disease.
The maps showed that 40 African countries experienced reductions in childhood malaria transmission between 2000 and 2010.
Despite this progress, 57% of the population in malaria-endemic countries continued to live in areas of moderate to intense malaria transmission, with infection rates higher than 10%.
These findings are published in The Lancet.
Researchers compiled data from a collection of 26,746 community-based surveys of Plasmodium falciparum prevalence. The surveys covered 3,575,418 person observations from 44 malaria-endemic countries and territories in Africa since 1980.
“Health information systems in many African countries are weak, and it has been difficult to reliably estimate how many people get sick or die of malaria,” said study author Abdisalan Mohamed Noor, PhD, of the Kenya Medical Research Institute-Wellcome Trust Research Programme in Nairobi and the University of Oxford in the UK.
“The population surveys we used in this study are a more reliable indicator for tracking, and we hope our study will help countries assess their progress and adapt their strategies for more effective malaria control.”
Using model-based geostatistics, Dr Noor and his colleagues estimated the proportion of the population, aged 2 to 10 years old, infected with different levels of P falciparum across Africa in 2000 and 2010.
The researchers wanted to evaluate the effects of the Roll Back Malaria Partnership, which was launched in 2000 and resulted in a large increase in investments targeting malaria control.
The team found that the number of people living in high-risk areas, where more than 50% of the population is likely to carry infections, fell from 218.6 million in 2000 to 183.5 million in 2010—a 16% decrease.
But the population living in areas where the risk of infection is considered moderate to high grew from 178.6 million to 280.1 million—a 57% increase.
And the population living in areas where risk is regarded as very low grew from 78.2 million to 128.2 million—a 64% increase.
The researchers also discovered that 10 countries harbor 87% of the population remaining at high risk of malaria transmission. These countries are Guinea, Togo, Mali, Mozambique, Burkina Faso, Ghana, Côte d’Ivoire, Uganda, Nigeria, and the Democratic Republic of Congo.
On the other hand, the team noted that 7 countries have levels of malaria transmission so low that eliminating the disease is a realistic goal. These countries are Cape Verde, Eritrea, South Africa, Ethiopia, Swaziland, Djibouti, and Mayotte.
“The results of our analysis are pause for thought,” said study author Robert Snow, PhD, also of the Kenya Medical Research Institute-Wellcome Trust Research Programme and the University of Oxford.
“On the one hand, it’s a glass half full, with several countries showing significant reductions in malaria transmission. And on the other, it’s a glass half empty, where, despite a decade of massive investment in malaria control, the populations living in several African countries are as likely to be infected with malaria in 2000 as they were 10 years later.”
Credit: CDC
Malaria prevalence maps indicate that, in 2010, nearly 184 million Africans were still living in areas where there is a high risk of contracting malaria, despite a decade of efforts to control the spread of the disease.
The maps showed that 40 African countries experienced reductions in childhood malaria transmission between 2000 and 2010.
Despite this progress, 57% of the population in malaria-endemic countries continued to live in areas of moderate to intense malaria transmission, with infection rates higher than 10%.
These findings are published in The Lancet.
Researchers compiled data from a collection of 26,746 community-based surveys of Plasmodium falciparum prevalence. The surveys covered 3,575,418 person observations from 44 malaria-endemic countries and territories in Africa since 1980.
“Health information systems in many African countries are weak, and it has been difficult to reliably estimate how many people get sick or die of malaria,” said study author Abdisalan Mohamed Noor, PhD, of the Kenya Medical Research Institute-Wellcome Trust Research Programme in Nairobi and the University of Oxford in the UK.
“The population surveys we used in this study are a more reliable indicator for tracking, and we hope our study will help countries assess their progress and adapt their strategies for more effective malaria control.”
Using model-based geostatistics, Dr Noor and his colleagues estimated the proportion of the population, aged 2 to 10 years old, infected with different levels of P falciparum across Africa in 2000 and 2010.
The researchers wanted to evaluate the effects of the Roll Back Malaria Partnership, which was launched in 2000 and resulted in a large increase in investments targeting malaria control.
The team found that the number of people living in high-risk areas, where more than 50% of the population is likely to carry infections, fell from 218.6 million in 2000 to 183.5 million in 2010—a 16% decrease.
But the population living in areas where the risk of infection is considered moderate to high grew from 178.6 million to 280.1 million—a 57% increase.
And the population living in areas where risk is regarded as very low grew from 78.2 million to 128.2 million—a 64% increase.
The researchers also discovered that 10 countries harbor 87% of the population remaining at high risk of malaria transmission. These countries are Guinea, Togo, Mali, Mozambique, Burkina Faso, Ghana, Côte d’Ivoire, Uganda, Nigeria, and the Democratic Republic of Congo.
On the other hand, the team noted that 7 countries have levels of malaria transmission so low that eliminating the disease is a realistic goal. These countries are Cape Verde, Eritrea, South Africa, Ethiopia, Swaziland, Djibouti, and Mayotte.
“The results of our analysis are pause for thought,” said study author Robert Snow, PhD, also of the Kenya Medical Research Institute-Wellcome Trust Research Programme and the University of Oxford.
“On the one hand, it’s a glass half full, with several countries showing significant reductions in malaria transmission. And on the other, it’s a glass half empty, where, despite a decade of massive investment in malaria control, the populations living in several African countries are as likely to be infected with malaria in 2000 as they were 10 years later.”
Credit: CDC
Malaria prevalence maps indicate that, in 2010, nearly 184 million Africans were still living in areas where there is a high risk of contracting malaria, despite a decade of efforts to control the spread of the disease.
The maps showed that 40 African countries experienced reductions in childhood malaria transmission between 2000 and 2010.
Despite this progress, 57% of the population in malaria-endemic countries continued to live in areas of moderate to intense malaria transmission, with infection rates higher than 10%.
These findings are published in The Lancet.
Researchers compiled data from a collection of 26,746 community-based surveys of Plasmodium falciparum prevalence. The surveys covered 3,575,418 person observations from 44 malaria-endemic countries and territories in Africa since 1980.
“Health information systems in many African countries are weak, and it has been difficult to reliably estimate how many people get sick or die of malaria,” said study author Abdisalan Mohamed Noor, PhD, of the Kenya Medical Research Institute-Wellcome Trust Research Programme in Nairobi and the University of Oxford in the UK.
“The population surveys we used in this study are a more reliable indicator for tracking, and we hope our study will help countries assess their progress and adapt their strategies for more effective malaria control.”
Using model-based geostatistics, Dr Noor and his colleagues estimated the proportion of the population, aged 2 to 10 years old, infected with different levels of P falciparum across Africa in 2000 and 2010.
The researchers wanted to evaluate the effects of the Roll Back Malaria Partnership, which was launched in 2000 and resulted in a large increase in investments targeting malaria control.
The team found that the number of people living in high-risk areas, where more than 50% of the population is likely to carry infections, fell from 218.6 million in 2000 to 183.5 million in 2010—a 16% decrease.
But the population living in areas where the risk of infection is considered moderate to high grew from 178.6 million to 280.1 million—a 57% increase.
And the population living in areas where risk is regarded as very low grew from 78.2 million to 128.2 million—a 64% increase.
The researchers also discovered that 10 countries harbor 87% of the population remaining at high risk of malaria transmission. These countries are Guinea, Togo, Mali, Mozambique, Burkina Faso, Ghana, Côte d’Ivoire, Uganda, Nigeria, and the Democratic Republic of Congo.
On the other hand, the team noted that 7 countries have levels of malaria transmission so low that eliminating the disease is a realistic goal. These countries are Cape Verde, Eritrea, South Africa, Ethiopia, Swaziland, Djibouti, and Mayotte.
“The results of our analysis are pause for thought,” said study author Robert Snow, PhD, also of the Kenya Medical Research Institute-Wellcome Trust Research Programme and the University of Oxford.
“On the one hand, it’s a glass half full, with several countries showing significant reductions in malaria transmission. And on the other, it’s a glass half empty, where, despite a decade of massive investment in malaria control, the populations living in several African countries are as likely to be infected with malaria in 2000 as they were 10 years later.”
How Bcl-2 helps cancer cells survive treatment
Researchers believe they’ve discovered how the Bcl-2 protein helps leukemia and lymphoma cells survive anticancer treatment.
The team found that Bcl-2 alters the level of calcium ions in cancer cells, and this promotes the cells’ survival.
The group thinks these findings, published in PNAS, could help spur the development of drugs that effectively inhibit Bcl-2 and produce better outcomes for cancer patients.
“Since 1993, our team has been conducting research on key mechanisms by which the protein Bcl-2 keeps cancer cells alive,” said study author Clark W. Distelhorst, MD, of Case Western Reserve School of Medicine in Cleveland, Ohio.
“Now, for the first time, we have evidence of how Bcl-2 is promoting abnormally long survival of the cancer cells by regulating calcium levels within cells, and [we] will use the discovery and data to deliver therapies designed to attack the Bcl-2 protein and inhibit its impact.”
More than a decade ago, researchers in Dr Distelhorst’s lab discovered that Bcl-2 binds to the inositol 1,4,5-trisphosphate receptor (InsP3R) channel and regulates the release of calcium ions.
In the current study, the team found that when Bcl-2 binds to the InsP3R channel, it initiates a complex feedback mechanism that blocks the release of calcium ions intended to induce cell death. Instead of dying, the cancer cells continue to proliferate.
Specifically, the researchers discovered that Bcl-2 interacts with the Ca2+-activated protein phosphatase calcineurin (CaN) and dopamine- and cAMP-regulated phosphoprotein of 32 kDa (DARPP-32), a CaN-regulated inhibitor of protein phosphatase 1.
Bcl-2 docks DARPP-32 and CaN on the InsP3R, creating a negative feedback loop that responds to InsP3R-mediated Ca2+ release by inhibiting InsP3R phosphorylation at Ser1755. And this prevents the excessive Ca2+ elevation that induces cell death.
The team theorized that cancer cells overexpressing Bcl-2 may exploit this mechanism to prevent apoptosis. And experiments in chronic lymphocytic leukemia cells appeared to confirm this theory.
The researchers treated the cells with the peptide TAT-IDPDD/AA, which inhibits Bcl-2–InsP3R interaction. This increased P-Ser1755 InsP3R-1 levels and elevated Ca2+, which induced apoptosis.
“We have recognized for decades that cancer cells grow and forget to die,” said Stanton Gerson, MD, director of the Case Comprehensive Cancer Center, who was not involved in this study.
“[N]ow, we understand why. I predict that this work will focus the discovery of new drugs against the Bcl-2-calcium-flow system.”
Researchers believe they’ve discovered how the Bcl-2 protein helps leukemia and lymphoma cells survive anticancer treatment.
The team found that Bcl-2 alters the level of calcium ions in cancer cells, and this promotes the cells’ survival.
The group thinks these findings, published in PNAS, could help spur the development of drugs that effectively inhibit Bcl-2 and produce better outcomes for cancer patients.
“Since 1993, our team has been conducting research on key mechanisms by which the protein Bcl-2 keeps cancer cells alive,” said study author Clark W. Distelhorst, MD, of Case Western Reserve School of Medicine in Cleveland, Ohio.
“Now, for the first time, we have evidence of how Bcl-2 is promoting abnormally long survival of the cancer cells by regulating calcium levels within cells, and [we] will use the discovery and data to deliver therapies designed to attack the Bcl-2 protein and inhibit its impact.”
More than a decade ago, researchers in Dr Distelhorst’s lab discovered that Bcl-2 binds to the inositol 1,4,5-trisphosphate receptor (InsP3R) channel and regulates the release of calcium ions.
In the current study, the team found that when Bcl-2 binds to the InsP3R channel, it initiates a complex feedback mechanism that blocks the release of calcium ions intended to induce cell death. Instead of dying, the cancer cells continue to proliferate.
Specifically, the researchers discovered that Bcl-2 interacts with the Ca2+-activated protein phosphatase calcineurin (CaN) and dopamine- and cAMP-regulated phosphoprotein of 32 kDa (DARPP-32), a CaN-regulated inhibitor of protein phosphatase 1.
Bcl-2 docks DARPP-32 and CaN on the InsP3R, creating a negative feedback loop that responds to InsP3R-mediated Ca2+ release by inhibiting InsP3R phosphorylation at Ser1755. And this prevents the excessive Ca2+ elevation that induces cell death.
The team theorized that cancer cells overexpressing Bcl-2 may exploit this mechanism to prevent apoptosis. And experiments in chronic lymphocytic leukemia cells appeared to confirm this theory.
The researchers treated the cells with the peptide TAT-IDPDD/AA, which inhibits Bcl-2–InsP3R interaction. This increased P-Ser1755 InsP3R-1 levels and elevated Ca2+, which induced apoptosis.
“We have recognized for decades that cancer cells grow and forget to die,” said Stanton Gerson, MD, director of the Case Comprehensive Cancer Center, who was not involved in this study.
“[N]ow, we understand why. I predict that this work will focus the discovery of new drugs against the Bcl-2-calcium-flow system.”
Researchers believe they’ve discovered how the Bcl-2 protein helps leukemia and lymphoma cells survive anticancer treatment.
The team found that Bcl-2 alters the level of calcium ions in cancer cells, and this promotes the cells’ survival.
The group thinks these findings, published in PNAS, could help spur the development of drugs that effectively inhibit Bcl-2 and produce better outcomes for cancer patients.
“Since 1993, our team has been conducting research on key mechanisms by which the protein Bcl-2 keeps cancer cells alive,” said study author Clark W. Distelhorst, MD, of Case Western Reserve School of Medicine in Cleveland, Ohio.
“Now, for the first time, we have evidence of how Bcl-2 is promoting abnormally long survival of the cancer cells by regulating calcium levels within cells, and [we] will use the discovery and data to deliver therapies designed to attack the Bcl-2 protein and inhibit its impact.”
More than a decade ago, researchers in Dr Distelhorst’s lab discovered that Bcl-2 binds to the inositol 1,4,5-trisphosphate receptor (InsP3R) channel and regulates the release of calcium ions.
In the current study, the team found that when Bcl-2 binds to the InsP3R channel, it initiates a complex feedback mechanism that blocks the release of calcium ions intended to induce cell death. Instead of dying, the cancer cells continue to proliferate.
Specifically, the researchers discovered that Bcl-2 interacts with the Ca2+-activated protein phosphatase calcineurin (CaN) and dopamine- and cAMP-regulated phosphoprotein of 32 kDa (DARPP-32), a CaN-regulated inhibitor of protein phosphatase 1.
Bcl-2 docks DARPP-32 and CaN on the InsP3R, creating a negative feedback loop that responds to InsP3R-mediated Ca2+ release by inhibiting InsP3R phosphorylation at Ser1755. And this prevents the excessive Ca2+ elevation that induces cell death.
The team theorized that cancer cells overexpressing Bcl-2 may exploit this mechanism to prevent apoptosis. And experiments in chronic lymphocytic leukemia cells appeared to confirm this theory.
The researchers treated the cells with the peptide TAT-IDPDD/AA, which inhibits Bcl-2–InsP3R interaction. This increased P-Ser1755 InsP3R-1 levels and elevated Ca2+, which induced apoptosis.
“We have recognized for decades that cancer cells grow and forget to die,” said Stanton Gerson, MD, director of the Case Comprehensive Cancer Center, who was not involved in this study.
“[N]ow, we understand why. I predict that this work will focus the discovery of new drugs against the Bcl-2-calcium-flow system.”
VIDEO: Coffee Break 2: What did you learn at the meeting?
WAIKOLOA, HAWAII – Our editor, Heidi Splete, catches up with attendees at the Hawaii Dermatology Seminar to find out what they learned at the meeting that they will take back to their practices.
During a coffee break video interview, doctors said they enjoyed presentations on tips to treat fine lines around the eyes and mouth, the link between psoriasis and increased cardiovascular risks, and the "two Cs" of potential leather allergies.
The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel
WAIKOLOA, HAWAII – Our editor, Heidi Splete, catches up with attendees at the Hawaii Dermatology Seminar to find out what they learned at the meeting that they will take back to their practices.
During a coffee break video interview, doctors said they enjoyed presentations on tips to treat fine lines around the eyes and mouth, the link between psoriasis and increased cardiovascular risks, and the "two Cs" of potential leather allergies.
The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel
WAIKOLOA, HAWAII – Our editor, Heidi Splete, catches up with attendees at the Hawaii Dermatology Seminar to find out what they learned at the meeting that they will take back to their practices.
During a coffee break video interview, doctors said they enjoyed presentations on tips to treat fine lines around the eyes and mouth, the link between psoriasis and increased cardiovascular risks, and the "two Cs" of potential leather allergies.
The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel
FROM SDEF HAWAII DERMATOLOGY SYMPOSIUM
Thyroid cancer rise mostly overdiagnosis
The incidence of thyroid cancer has nearly tripled in the United States since the 1970s. However, this is mainly an epidemic of diagnosis, researchers reported.
Small papillary cancers are not likely to cause death or disease, and women are four times more likely to receive a diagnosis than men, even though autopsy findings show that these cancers occur more frequently in men.
For the research, published online Feb. 20 in JAMA Otolaryngology–Head & Neck Surgery, Dr. Louise Davies and Dr. H. Gilbert Welch reviewed diagnostic trends from the population-based Surveillance, Epidemiology, and End Results (SEER) 9 program, which covers four large U.S. metropolitan areas along with five states. They also reviewed mortality records from the National Vital Statistics System between 1975 and 2009 for the same areas, reported Dr. Davies of the Veterans Affairs Medical Center in White River Junction, Vt., and Dr. Welch of the Dartmouth Institute for Health Policy and Clinical Practice in Hanover, N.H.
The researchers found that thyroid cancer incidence nearly tripled, from 4.9 to 14.3 per 100,000 individuals, in that time period (relative rate, 2.9) and that nearly all of the increase was attributable to diagnoses of small papillary cancers, the least aggressive form of thyroid cancer. The mortality rate from thyroid cancer remained stable – at 0.5 deaths per 100,000 – during the same time, Dr. Davies and Dr. Welch reported (JAMA Otolaryngol. Head Neck Surg. 2014 Feb. 20 [doi: 10.1001/jamaoto.2014.1]).
The investigators saw a much greater absolute increase in thyroid cancer in women, at 3.3-fold (from 6.5 to 21.4 cases per 100,000), than in men, at 2.2-fold (from 3.1 to 6.9), during the study period, which suggests that the burden of overdiagnosis fell heavily on women, they wrote.
Moreover, most thyroid cancers are treated "as though they are destined to cause real problems for the people who have them," Dr. Davies and Dr. Welch wrote, usually with total thyroidectomy, radiation, or both, putting patients at risk for complications and secondary cancers.
Patients – particularly women – might be better served with a less intensive diagnostic and treatment approach to these cancers, and even by relabeling them using a term other than cancer. Clinicians should take care to advise patients of the uncertainty surrounding the small papillary cancers and encourage them to consider the risks of treatment compared with active surveillance, the researchers said.
Dr. Davies and Dr. Welch received support from their institutions for their research; neither declared conflicts of interest.
This is an interesting and important study, but one that is difficult to interpret. We don't yet know which of these cancers, no matter what size, will ultimately prove to be important. Once a diagnosis of cancer is made, it is difficult for patients and doctors to simply continue to observe the cancer. Most patients and doctors are uncomfortable with that.
In addition, the follow-up itself becomes burdensome, with annual ultrasounds and, possibly, multiple needle biopsies over time. Although much of this increased incidence seems related to increased use of imaging studies, several authors have also reported an absolute increase in the incidence of thyroid cancer.
Other issues related to this topic are the extent of surgery that is necessary for these small early cancers. The authors point out that many surgeons perform total thyroidectomy and postoperative radioactive iodine ablation, but there are some who advocate for lesser surgery. This becomes problematic when patients have other smaller nodules in the opposite lobe of the thyroid of uncertain significance. Some national guidelines recommend total or near-total thyroidectomy for T1 and T2 well-differentiated thyroid cancers, and it is difficult to go against these guidelines. What is really needed are better molecular and genetic tests to better define which well-differentiated thyroid cancers are likely to act in a more aggressive manner, and which are not.
Mark C. Weissler, M.D., FACS, is the J.P. Riddle Distinguished Professor of Otolaryngology-Head and Neck Surgery at the University of North Carolina, Chapel Hill. Dr. Weissler had no disclosures.
This is an interesting and important study, but one that is difficult to interpret. We don't yet know which of these cancers, no matter what size, will ultimately prove to be important. Once a diagnosis of cancer is made, it is difficult for patients and doctors to simply continue to observe the cancer. Most patients and doctors are uncomfortable with that.
In addition, the follow-up itself becomes burdensome, with annual ultrasounds and, possibly, multiple needle biopsies over time. Although much of this increased incidence seems related to increased use of imaging studies, several authors have also reported an absolute increase in the incidence of thyroid cancer.
Other issues related to this topic are the extent of surgery that is necessary for these small early cancers. The authors point out that many surgeons perform total thyroidectomy and postoperative radioactive iodine ablation, but there are some who advocate for lesser surgery. This becomes problematic when patients have other smaller nodules in the opposite lobe of the thyroid of uncertain significance. Some national guidelines recommend total or near-total thyroidectomy for T1 and T2 well-differentiated thyroid cancers, and it is difficult to go against these guidelines. What is really needed are better molecular and genetic tests to better define which well-differentiated thyroid cancers are likely to act in a more aggressive manner, and which are not.
Mark C. Weissler, M.D., FACS, is the J.P. Riddle Distinguished Professor of Otolaryngology-Head and Neck Surgery at the University of North Carolina, Chapel Hill. Dr. Weissler had no disclosures.
This is an interesting and important study, but one that is difficult to interpret. We don't yet know which of these cancers, no matter what size, will ultimately prove to be important. Once a diagnosis of cancer is made, it is difficult for patients and doctors to simply continue to observe the cancer. Most patients and doctors are uncomfortable with that.
In addition, the follow-up itself becomes burdensome, with annual ultrasounds and, possibly, multiple needle biopsies over time. Although much of this increased incidence seems related to increased use of imaging studies, several authors have also reported an absolute increase in the incidence of thyroid cancer.
Other issues related to this topic are the extent of surgery that is necessary for these small early cancers. The authors point out that many surgeons perform total thyroidectomy and postoperative radioactive iodine ablation, but there are some who advocate for lesser surgery. This becomes problematic when patients have other smaller nodules in the opposite lobe of the thyroid of uncertain significance. Some national guidelines recommend total or near-total thyroidectomy for T1 and T2 well-differentiated thyroid cancers, and it is difficult to go against these guidelines. What is really needed are better molecular and genetic tests to better define which well-differentiated thyroid cancers are likely to act in a more aggressive manner, and which are not.
Mark C. Weissler, M.D., FACS, is the J.P. Riddle Distinguished Professor of Otolaryngology-Head and Neck Surgery at the University of North Carolina, Chapel Hill. Dr. Weissler had no disclosures.
The incidence of thyroid cancer has nearly tripled in the United States since the 1970s. However, this is mainly an epidemic of diagnosis, researchers reported.
Small papillary cancers are not likely to cause death or disease, and women are four times more likely to receive a diagnosis than men, even though autopsy findings show that these cancers occur more frequently in men.
For the research, published online Feb. 20 in JAMA Otolaryngology–Head & Neck Surgery, Dr. Louise Davies and Dr. H. Gilbert Welch reviewed diagnostic trends from the population-based Surveillance, Epidemiology, and End Results (SEER) 9 program, which covers four large U.S. metropolitan areas along with five states. They also reviewed mortality records from the National Vital Statistics System between 1975 and 2009 for the same areas, reported Dr. Davies of the Veterans Affairs Medical Center in White River Junction, Vt., and Dr. Welch of the Dartmouth Institute for Health Policy and Clinical Practice in Hanover, N.H.
The researchers found that thyroid cancer incidence nearly tripled, from 4.9 to 14.3 per 100,000 individuals, in that time period (relative rate, 2.9) and that nearly all of the increase was attributable to diagnoses of small papillary cancers, the least aggressive form of thyroid cancer. The mortality rate from thyroid cancer remained stable – at 0.5 deaths per 100,000 – during the same time, Dr. Davies and Dr. Welch reported (JAMA Otolaryngol. Head Neck Surg. 2014 Feb. 20 [doi: 10.1001/jamaoto.2014.1]).
The investigators saw a much greater absolute increase in thyroid cancer in women, at 3.3-fold (from 6.5 to 21.4 cases per 100,000), than in men, at 2.2-fold (from 3.1 to 6.9), during the study period, which suggests that the burden of overdiagnosis fell heavily on women, they wrote.
Moreover, most thyroid cancers are treated "as though they are destined to cause real problems for the people who have them," Dr. Davies and Dr. Welch wrote, usually with total thyroidectomy, radiation, or both, putting patients at risk for complications and secondary cancers.
Patients – particularly women – might be better served with a less intensive diagnostic and treatment approach to these cancers, and even by relabeling them using a term other than cancer. Clinicians should take care to advise patients of the uncertainty surrounding the small papillary cancers and encourage them to consider the risks of treatment compared with active surveillance, the researchers said.
Dr. Davies and Dr. Welch received support from their institutions for their research; neither declared conflicts of interest.
The incidence of thyroid cancer has nearly tripled in the United States since the 1970s. However, this is mainly an epidemic of diagnosis, researchers reported.
Small papillary cancers are not likely to cause death or disease, and women are four times more likely to receive a diagnosis than men, even though autopsy findings show that these cancers occur more frequently in men.
For the research, published online Feb. 20 in JAMA Otolaryngology–Head & Neck Surgery, Dr. Louise Davies and Dr. H. Gilbert Welch reviewed diagnostic trends from the population-based Surveillance, Epidemiology, and End Results (SEER) 9 program, which covers four large U.S. metropolitan areas along with five states. They also reviewed mortality records from the National Vital Statistics System between 1975 and 2009 for the same areas, reported Dr. Davies of the Veterans Affairs Medical Center in White River Junction, Vt., and Dr. Welch of the Dartmouth Institute for Health Policy and Clinical Practice in Hanover, N.H.
The researchers found that thyroid cancer incidence nearly tripled, from 4.9 to 14.3 per 100,000 individuals, in that time period (relative rate, 2.9) and that nearly all of the increase was attributable to diagnoses of small papillary cancers, the least aggressive form of thyroid cancer. The mortality rate from thyroid cancer remained stable – at 0.5 deaths per 100,000 – during the same time, Dr. Davies and Dr. Welch reported (JAMA Otolaryngol. Head Neck Surg. 2014 Feb. 20 [doi: 10.1001/jamaoto.2014.1]).
The investigators saw a much greater absolute increase in thyroid cancer in women, at 3.3-fold (from 6.5 to 21.4 cases per 100,000), than in men, at 2.2-fold (from 3.1 to 6.9), during the study period, which suggests that the burden of overdiagnosis fell heavily on women, they wrote.
Moreover, most thyroid cancers are treated "as though they are destined to cause real problems for the people who have them," Dr. Davies and Dr. Welch wrote, usually with total thyroidectomy, radiation, or both, putting patients at risk for complications and secondary cancers.
Patients – particularly women – might be better served with a less intensive diagnostic and treatment approach to these cancers, and even by relabeling them using a term other than cancer. Clinicians should take care to advise patients of the uncertainty surrounding the small papillary cancers and encourage them to consider the risks of treatment compared with active surveillance, the researchers said.
Dr. Davies and Dr. Welch received support from their institutions for their research; neither declared conflicts of interest.
FROM JAMA OTOLARYNGOLOGY – HEAD & NECK SURGERY