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When does acute pyelonephritis require imaging?
A previously healthy 44-year-old woman presents to the emergency department with 1 day of fever, flank pain, dysuria, and persistent nausea and vomiting. Her temperature is 38.7°C (101.7°F), heart rate 102 beats per minute, and blood pressure 120/70 mm Hg. She has costovertebral angle tenderness. Laboratory testing reveals mild leukocytosis and a normal serum creatinine level; urinalysis shows leukocytes, as well as leukocyte esterase and nitrites. She has no personal or family history of nephrolithiasis. Urine cultures are obtained, and she is started on intravenous antibiotics and intravenous hydration to treat pyelonephritis.
Is imaging indicated at this point? And if so, which study is recommended?
KEY FEATURES
Acute pyelonephritis, infection of the renal parenchyma and collecting system, most often results from an ascending infection of the lower urinary tract. It is estimated to account for 250,000 office visits and 200,000 hospital admissions each year in the United States.1
Lower urinary tract symptoms such as urinary frequency, urgency, and dysuria accompanied by fever, nausea, vomiting, and flank pain raise suspicion for acute pyelonephritis. Flank pain is a key, nearly universal feature of upper urinary tract infection in patients without diabetes, though it may be absent in up to 50% of patients with diabetes.2
Additional findings include costovertebral angle tenderness on physical examination and leukocytosis, pyuria, and bacteriuria on laboratory studies.
PREDICTING THE NEED FOR EARLY IMAGING
Though guidelines state that imaging is inappropriate in most patients with pyelonephritis,2–4 it is nevertheless often done for diagnosis or identification of complications, which have been reported in more than two-thirds of patients.2–4
Acute pyelonephritis is generally classified as complicated or uncomplicated, though different definitions exist with regard to these classifications. The American College of Radiology’s Appropriateness Criteria2 consider patients with diabetes, immune compromise, a history of urolithiasis, or anatomic abnormality to be at highest risk for complications, and therefore recommend early imaging to assess for hydronephrosis, pyonephrosis, emphysematous pyelonephritis, and intrinsic or perinephric abscess.2
A clinical rule for predicting the need for imaging in acute pyelonephritis was developed and validated in an emergency department population in the Netherlands.3 The study suggested that restricting early imaging to patients with a history of urolithiasis, a urine pH of 7.0 or higher, or renal insufficiency—defined as a glomerular filtration rate (GFR) of 40 mL/min/1.73m2 or lower as estimated by the Modification of Diet in Renal Disease formula—would provide a negative predictive value of 94% to 100% for detection of an urgent urologic disorder (pyonephrosis, renal abscess, or urolithiasis). This high negative predictive value highlights that an absence of these signs and symptoms can safely identify patients who do not need renal imaging.
The positive predictive value was less useful, as only 5% to 23% of patients who had at least 1 risk factor went on to have urgent urologic risk factors.3
Implementation of this prediction rule would have resulted in a relative reduction in imaging of 40% and an absolute reduction of 28%. Of note, use of reduced GFR in this prediction rule is not clearly validated for patients with chronic kidney disease, as the previous GFR for most patients in this study was unknown.3
Based on these data, initial imaging is recommended in patients with diabetes, immune compromise, a history of urolithiasis, anatomic abnormality, a urine pH 7.0 or higher, or a GFR 40 mL/min or lower in a patient with no history of significant renal dysfunction. Early imaging would also be reasonable in patients with a complex clinical presentation, early recurrence of symptoms after treatment, clinical decompensation, or critical illness.
TREATMENT FAILURE
In a retrospective review of 62 patients hospitalized for acute renal infection, Soulen et al5 found that the most reliable indicator of complicated acute pyelonephritis was the persistence of fever and leukocytosis at 72 hours. And another small prospective study of patients with uncomplicated pyelonephritis reported a time to defervescence of no more than 4 days.6
In accordance with the Appropriateness Criteria2 and based on the best available evidence, imaging is recommended in all patients who remain febrile or have persistent leukocytosis after 72 hours of antibiotic therapy. In such cases, there should be high suspicion for a complication requiring treatment.
OPTIONS FOR IMAGING
Computed tomography
Computed tomography (CT) of the abdomen and pelvis with contrast is considered the study of choice in complicated acute pyelonephritis. CT can detect focal parenchymal abnormalities, emphysematous changes, and anatomic anomalies, and can also define the extent of disease. It can also detect perinephric fluid collections and abscesses that necessitate a change in management.2,5
A retrospective study in 2017 found that contrast-enhanced CT done without the usual noncontrast and excretory phases had an accuracy of 90% to 92% for pyelonephritis and 96% to 99% for urolithiasis, suggesting that reduction in radiation exposure through use of only the contrast-enhanced phase of CT imaging may be reasonable.7
Magnetic resonance imaging
Magnetic resonance imaging (MRI) is increasingly acknowledged as effective in the evaluation of renal pathology, including the diagnosis of pyelonephritis; but it lacks the level of evidence that CT provides for detecting renal abscesses, calculi, and emphysematous pyelonephritis.2,8,9
Though it is more costly and time-consuming than CT with contrast enhancement, MRI is nevertheless the imaging study of choice if iodinated contrast or ionizing radiation must be avoided.
MRI typically involves a precontrast phase and a gadolinium contrast-enhanced phase, though there are data to support diffusion-weighted MRI when exposure to gadolinium poses a risk to the patient, such as in pregnancy or renal impairment (particularly when the estimated GFR is < 30 mL/min/1.73 m2).10
Ultrasonography
Conventional ultrasonography is appealing due to its relatively low cost, its availability and portability, and the lack of radiation and contrast exposure. It is most helpful in detecting hydronephrosis and pyonephrosis rather than intrarenal or perinephric abscess.2,9
Color and power Doppler ultrasonography may improve testing characteristics but not to the level of CT; in one study, sensitivity for detection of pyelonephritis was 33.3% with ultrasonography vs 81.0% with CT.11
Recent studies of ultrasonography with contrast enhancement show promising results,2 and it may ultimately prove to have a similar efficacy with lower risk for patients, but this has not been validated in large studies, and its availability remains limited.
Ultrasonography should be considered for patients in whom obstruction (with resulting hydronephrosis or pyonephrosis) is a primary concern, particularly when contrast exposure or radiation is contraindicated and MRI is unavailable.2
Abdominal radiography
While emphysematous pyelonephritis or a large staghorn calculus may be seen on abdominal radiography, it is not recommended for the assessment of complications in acute pyelonephritis because it lacks sensitivity.2
RETURN TO THE CASE SCENARIO
The patient in our case scenario meets the clinical criteria for uncomplicated pyelonephritis and is therefore not a candidate for imaging. Intravenous antibiotics should be started and should lead to rapid improvement in her condition.
Acknowledgment: The authors would like to thank Dr. Lisa Blacklock for her review of the radiology section of this paper.
- Foxman B, Klemstine KL, Brown PD. Acute pyelonephritis in US hospitals in 1997: hospitalization and in-hospital mortality. Ann Epidemiol 2003; 13(2):144–150. pmid:12559674
- Expert Panel on Urologic Imaging: Nikolaidis P, Dogra VS, Goldfarb S, et al. ACR appropriateness criteria acute pyelonephritis. J Am Coll Radiol 2018; 15(11S):S232–S239. doi:10.1016/j.jacr.2018.09.011
- van Nieuwkoop C, Hoppe BP, Bonten TN, et al. Predicting the need for radiologic imaging in adults with febrile urinary tract infection. Clin Infect Dis 2010; 51(11):1266–1272. doi:10.1086/657071
- Kim Y, Seo MR, Kim SJ, et al. Usefulness of blood cultures and radiologic imaging studies in the management of patients with community-acquired acute pyelonephritis. Infect Chemother 2017; 49(1):22–30. doi:10.3947/ic.2017.49.1.22
- Soulen MC, Fishman EK, Goldman SM, Gatewood OM. Bacterial renal infection: role of CT. Radiology 1989; 171(3):703–707. doi:10.1148/radiology.171.3.2655002
- June CH, Browning MD, Smith LP, et al. Ultrasonography and computed tomography in severe urinary tract infection. Arch Intern Med 1985; 145(5):841–845. pmid:3888134
- Taniguchi LS, Torres US, Souza SM, Torres LR, D’Ippolito G. Are the unenhanced and excretory CT phases necessary for the evaluation of acute pyelonephritis? Acta Radiol 2017; 58(5):634–640. doi:10.1177/0284185116665424
- Rathod SB, Kumbhar SS, Nanivadekar A, Aman K. Role of diffusion-weighted MRI in acute pyelonephritis: a prospective study. Acta Radiol 2015; 56(2):244–249. doi:10.1177/0284185114520862
- Stunell H, Buckley O, Feeney J, Geoghegan T, Browne RF, Torreggiani WC. Imaging of acute pyelonephritis in the adult. Eur Radiol 2007; 17(7):1820–1828.
- American College of Radiology. ACR Manual on Contrast Media. www.acr.org/clinical-resources/contrast-manual. Accessed June 19, 2019.
- Yoo JM, Koh JS, Han CH, et al. Diagnosing acute pyelonephritis with CT, Tc-DMSA SPECT, and Doppler ultrasound: a comparative study. Korean J Urol 2010; 51(4):260–265. doi:10.4111/kju.2010.51.4.260
A previously healthy 44-year-old woman presents to the emergency department with 1 day of fever, flank pain, dysuria, and persistent nausea and vomiting. Her temperature is 38.7°C (101.7°F), heart rate 102 beats per minute, and blood pressure 120/70 mm Hg. She has costovertebral angle tenderness. Laboratory testing reveals mild leukocytosis and a normal serum creatinine level; urinalysis shows leukocytes, as well as leukocyte esterase and nitrites. She has no personal or family history of nephrolithiasis. Urine cultures are obtained, and she is started on intravenous antibiotics and intravenous hydration to treat pyelonephritis.
Is imaging indicated at this point? And if so, which study is recommended?
KEY FEATURES
Acute pyelonephritis, infection of the renal parenchyma and collecting system, most often results from an ascending infection of the lower urinary tract. It is estimated to account for 250,000 office visits and 200,000 hospital admissions each year in the United States.1
Lower urinary tract symptoms such as urinary frequency, urgency, and dysuria accompanied by fever, nausea, vomiting, and flank pain raise suspicion for acute pyelonephritis. Flank pain is a key, nearly universal feature of upper urinary tract infection in patients without diabetes, though it may be absent in up to 50% of patients with diabetes.2
Additional findings include costovertebral angle tenderness on physical examination and leukocytosis, pyuria, and bacteriuria on laboratory studies.
PREDICTING THE NEED FOR EARLY IMAGING
Though guidelines state that imaging is inappropriate in most patients with pyelonephritis,2–4 it is nevertheless often done for diagnosis or identification of complications, which have been reported in more than two-thirds of patients.2–4
Acute pyelonephritis is generally classified as complicated or uncomplicated, though different definitions exist with regard to these classifications. The American College of Radiology’s Appropriateness Criteria2 consider patients with diabetes, immune compromise, a history of urolithiasis, or anatomic abnormality to be at highest risk for complications, and therefore recommend early imaging to assess for hydronephrosis, pyonephrosis, emphysematous pyelonephritis, and intrinsic or perinephric abscess.2
A clinical rule for predicting the need for imaging in acute pyelonephritis was developed and validated in an emergency department population in the Netherlands.3 The study suggested that restricting early imaging to patients with a history of urolithiasis, a urine pH of 7.0 or higher, or renal insufficiency—defined as a glomerular filtration rate (GFR) of 40 mL/min/1.73m2 or lower as estimated by the Modification of Diet in Renal Disease formula—would provide a negative predictive value of 94% to 100% for detection of an urgent urologic disorder (pyonephrosis, renal abscess, or urolithiasis). This high negative predictive value highlights that an absence of these signs and symptoms can safely identify patients who do not need renal imaging.
The positive predictive value was less useful, as only 5% to 23% of patients who had at least 1 risk factor went on to have urgent urologic risk factors.3
Implementation of this prediction rule would have resulted in a relative reduction in imaging of 40% and an absolute reduction of 28%. Of note, use of reduced GFR in this prediction rule is not clearly validated for patients with chronic kidney disease, as the previous GFR for most patients in this study was unknown.3
Based on these data, initial imaging is recommended in patients with diabetes, immune compromise, a history of urolithiasis, anatomic abnormality, a urine pH 7.0 or higher, or a GFR 40 mL/min or lower in a patient with no history of significant renal dysfunction. Early imaging would also be reasonable in patients with a complex clinical presentation, early recurrence of symptoms after treatment, clinical decompensation, or critical illness.
TREATMENT FAILURE
In a retrospective review of 62 patients hospitalized for acute renal infection, Soulen et al5 found that the most reliable indicator of complicated acute pyelonephritis was the persistence of fever and leukocytosis at 72 hours. And another small prospective study of patients with uncomplicated pyelonephritis reported a time to defervescence of no more than 4 days.6
In accordance with the Appropriateness Criteria2 and based on the best available evidence, imaging is recommended in all patients who remain febrile or have persistent leukocytosis after 72 hours of antibiotic therapy. In such cases, there should be high suspicion for a complication requiring treatment.
OPTIONS FOR IMAGING
Computed tomography
Computed tomography (CT) of the abdomen and pelvis with contrast is considered the study of choice in complicated acute pyelonephritis. CT can detect focal parenchymal abnormalities, emphysematous changes, and anatomic anomalies, and can also define the extent of disease. It can also detect perinephric fluid collections and abscesses that necessitate a change in management.2,5
A retrospective study in 2017 found that contrast-enhanced CT done without the usual noncontrast and excretory phases had an accuracy of 90% to 92% for pyelonephritis and 96% to 99% for urolithiasis, suggesting that reduction in radiation exposure through use of only the contrast-enhanced phase of CT imaging may be reasonable.7
Magnetic resonance imaging
Magnetic resonance imaging (MRI) is increasingly acknowledged as effective in the evaluation of renal pathology, including the diagnosis of pyelonephritis; but it lacks the level of evidence that CT provides for detecting renal abscesses, calculi, and emphysematous pyelonephritis.2,8,9
Though it is more costly and time-consuming than CT with contrast enhancement, MRI is nevertheless the imaging study of choice if iodinated contrast or ionizing radiation must be avoided.
MRI typically involves a precontrast phase and a gadolinium contrast-enhanced phase, though there are data to support diffusion-weighted MRI when exposure to gadolinium poses a risk to the patient, such as in pregnancy or renal impairment (particularly when the estimated GFR is < 30 mL/min/1.73 m2).10
Ultrasonography
Conventional ultrasonography is appealing due to its relatively low cost, its availability and portability, and the lack of radiation and contrast exposure. It is most helpful in detecting hydronephrosis and pyonephrosis rather than intrarenal or perinephric abscess.2,9
Color and power Doppler ultrasonography may improve testing characteristics but not to the level of CT; in one study, sensitivity for detection of pyelonephritis was 33.3% with ultrasonography vs 81.0% with CT.11
Recent studies of ultrasonography with contrast enhancement show promising results,2 and it may ultimately prove to have a similar efficacy with lower risk for patients, but this has not been validated in large studies, and its availability remains limited.
Ultrasonography should be considered for patients in whom obstruction (with resulting hydronephrosis or pyonephrosis) is a primary concern, particularly when contrast exposure or radiation is contraindicated and MRI is unavailable.2
Abdominal radiography
While emphysematous pyelonephritis or a large staghorn calculus may be seen on abdominal radiography, it is not recommended for the assessment of complications in acute pyelonephritis because it lacks sensitivity.2
RETURN TO THE CASE SCENARIO
The patient in our case scenario meets the clinical criteria for uncomplicated pyelonephritis and is therefore not a candidate for imaging. Intravenous antibiotics should be started and should lead to rapid improvement in her condition.
Acknowledgment: The authors would like to thank Dr. Lisa Blacklock for her review of the radiology section of this paper.
A previously healthy 44-year-old woman presents to the emergency department with 1 day of fever, flank pain, dysuria, and persistent nausea and vomiting. Her temperature is 38.7°C (101.7°F), heart rate 102 beats per minute, and blood pressure 120/70 mm Hg. She has costovertebral angle tenderness. Laboratory testing reveals mild leukocytosis and a normal serum creatinine level; urinalysis shows leukocytes, as well as leukocyte esterase and nitrites. She has no personal or family history of nephrolithiasis. Urine cultures are obtained, and she is started on intravenous antibiotics and intravenous hydration to treat pyelonephritis.
Is imaging indicated at this point? And if so, which study is recommended?
KEY FEATURES
Acute pyelonephritis, infection of the renal parenchyma and collecting system, most often results from an ascending infection of the lower urinary tract. It is estimated to account for 250,000 office visits and 200,000 hospital admissions each year in the United States.1
Lower urinary tract symptoms such as urinary frequency, urgency, and dysuria accompanied by fever, nausea, vomiting, and flank pain raise suspicion for acute pyelonephritis. Flank pain is a key, nearly universal feature of upper urinary tract infection in patients without diabetes, though it may be absent in up to 50% of patients with diabetes.2
Additional findings include costovertebral angle tenderness on physical examination and leukocytosis, pyuria, and bacteriuria on laboratory studies.
PREDICTING THE NEED FOR EARLY IMAGING
Though guidelines state that imaging is inappropriate in most patients with pyelonephritis,2–4 it is nevertheless often done for diagnosis or identification of complications, which have been reported in more than two-thirds of patients.2–4
Acute pyelonephritis is generally classified as complicated or uncomplicated, though different definitions exist with regard to these classifications. The American College of Radiology’s Appropriateness Criteria2 consider patients with diabetes, immune compromise, a history of urolithiasis, or anatomic abnormality to be at highest risk for complications, and therefore recommend early imaging to assess for hydronephrosis, pyonephrosis, emphysematous pyelonephritis, and intrinsic or perinephric abscess.2
A clinical rule for predicting the need for imaging in acute pyelonephritis was developed and validated in an emergency department population in the Netherlands.3 The study suggested that restricting early imaging to patients with a history of urolithiasis, a urine pH of 7.0 or higher, or renal insufficiency—defined as a glomerular filtration rate (GFR) of 40 mL/min/1.73m2 or lower as estimated by the Modification of Diet in Renal Disease formula—would provide a negative predictive value of 94% to 100% for detection of an urgent urologic disorder (pyonephrosis, renal abscess, or urolithiasis). This high negative predictive value highlights that an absence of these signs and symptoms can safely identify patients who do not need renal imaging.
The positive predictive value was less useful, as only 5% to 23% of patients who had at least 1 risk factor went on to have urgent urologic risk factors.3
Implementation of this prediction rule would have resulted in a relative reduction in imaging of 40% and an absolute reduction of 28%. Of note, use of reduced GFR in this prediction rule is not clearly validated for patients with chronic kidney disease, as the previous GFR for most patients in this study was unknown.3
Based on these data, initial imaging is recommended in patients with diabetes, immune compromise, a history of urolithiasis, anatomic abnormality, a urine pH 7.0 or higher, or a GFR 40 mL/min or lower in a patient with no history of significant renal dysfunction. Early imaging would also be reasonable in patients with a complex clinical presentation, early recurrence of symptoms after treatment, clinical decompensation, or critical illness.
TREATMENT FAILURE
In a retrospective review of 62 patients hospitalized for acute renal infection, Soulen et al5 found that the most reliable indicator of complicated acute pyelonephritis was the persistence of fever and leukocytosis at 72 hours. And another small prospective study of patients with uncomplicated pyelonephritis reported a time to defervescence of no more than 4 days.6
In accordance with the Appropriateness Criteria2 and based on the best available evidence, imaging is recommended in all patients who remain febrile or have persistent leukocytosis after 72 hours of antibiotic therapy. In such cases, there should be high suspicion for a complication requiring treatment.
OPTIONS FOR IMAGING
Computed tomography
Computed tomography (CT) of the abdomen and pelvis with contrast is considered the study of choice in complicated acute pyelonephritis. CT can detect focal parenchymal abnormalities, emphysematous changes, and anatomic anomalies, and can also define the extent of disease. It can also detect perinephric fluid collections and abscesses that necessitate a change in management.2,5
A retrospective study in 2017 found that contrast-enhanced CT done without the usual noncontrast and excretory phases had an accuracy of 90% to 92% for pyelonephritis and 96% to 99% for urolithiasis, suggesting that reduction in radiation exposure through use of only the contrast-enhanced phase of CT imaging may be reasonable.7
Magnetic resonance imaging
Magnetic resonance imaging (MRI) is increasingly acknowledged as effective in the evaluation of renal pathology, including the diagnosis of pyelonephritis; but it lacks the level of evidence that CT provides for detecting renal abscesses, calculi, and emphysematous pyelonephritis.2,8,9
Though it is more costly and time-consuming than CT with contrast enhancement, MRI is nevertheless the imaging study of choice if iodinated contrast or ionizing radiation must be avoided.
MRI typically involves a precontrast phase and a gadolinium contrast-enhanced phase, though there are data to support diffusion-weighted MRI when exposure to gadolinium poses a risk to the patient, such as in pregnancy or renal impairment (particularly when the estimated GFR is < 30 mL/min/1.73 m2).10
Ultrasonography
Conventional ultrasonography is appealing due to its relatively low cost, its availability and portability, and the lack of radiation and contrast exposure. It is most helpful in detecting hydronephrosis and pyonephrosis rather than intrarenal or perinephric abscess.2,9
Color and power Doppler ultrasonography may improve testing characteristics but not to the level of CT; in one study, sensitivity for detection of pyelonephritis was 33.3% with ultrasonography vs 81.0% with CT.11
Recent studies of ultrasonography with contrast enhancement show promising results,2 and it may ultimately prove to have a similar efficacy with lower risk for patients, but this has not been validated in large studies, and its availability remains limited.
Ultrasonography should be considered for patients in whom obstruction (with resulting hydronephrosis or pyonephrosis) is a primary concern, particularly when contrast exposure or radiation is contraindicated and MRI is unavailable.2
Abdominal radiography
While emphysematous pyelonephritis or a large staghorn calculus may be seen on abdominal radiography, it is not recommended for the assessment of complications in acute pyelonephritis because it lacks sensitivity.2
RETURN TO THE CASE SCENARIO
The patient in our case scenario meets the clinical criteria for uncomplicated pyelonephritis and is therefore not a candidate for imaging. Intravenous antibiotics should be started and should lead to rapid improvement in her condition.
Acknowledgment: The authors would like to thank Dr. Lisa Blacklock for her review of the radiology section of this paper.
- Foxman B, Klemstine KL, Brown PD. Acute pyelonephritis in US hospitals in 1997: hospitalization and in-hospital mortality. Ann Epidemiol 2003; 13(2):144–150. pmid:12559674
- Expert Panel on Urologic Imaging: Nikolaidis P, Dogra VS, Goldfarb S, et al. ACR appropriateness criteria acute pyelonephritis. J Am Coll Radiol 2018; 15(11S):S232–S239. doi:10.1016/j.jacr.2018.09.011
- van Nieuwkoop C, Hoppe BP, Bonten TN, et al. Predicting the need for radiologic imaging in adults with febrile urinary tract infection. Clin Infect Dis 2010; 51(11):1266–1272. doi:10.1086/657071
- Kim Y, Seo MR, Kim SJ, et al. Usefulness of blood cultures and radiologic imaging studies in the management of patients with community-acquired acute pyelonephritis. Infect Chemother 2017; 49(1):22–30. doi:10.3947/ic.2017.49.1.22
- Soulen MC, Fishman EK, Goldman SM, Gatewood OM. Bacterial renal infection: role of CT. Radiology 1989; 171(3):703–707. doi:10.1148/radiology.171.3.2655002
- June CH, Browning MD, Smith LP, et al. Ultrasonography and computed tomography in severe urinary tract infection. Arch Intern Med 1985; 145(5):841–845. pmid:3888134
- Taniguchi LS, Torres US, Souza SM, Torres LR, D’Ippolito G. Are the unenhanced and excretory CT phases necessary for the evaluation of acute pyelonephritis? Acta Radiol 2017; 58(5):634–640. doi:10.1177/0284185116665424
- Rathod SB, Kumbhar SS, Nanivadekar A, Aman K. Role of diffusion-weighted MRI in acute pyelonephritis: a prospective study. Acta Radiol 2015; 56(2):244–249. doi:10.1177/0284185114520862
- Stunell H, Buckley O, Feeney J, Geoghegan T, Browne RF, Torreggiani WC. Imaging of acute pyelonephritis in the adult. Eur Radiol 2007; 17(7):1820–1828.
- American College of Radiology. ACR Manual on Contrast Media. www.acr.org/clinical-resources/contrast-manual. Accessed June 19, 2019.
- Yoo JM, Koh JS, Han CH, et al. Diagnosing acute pyelonephritis with CT, Tc-DMSA SPECT, and Doppler ultrasound: a comparative study. Korean J Urol 2010; 51(4):260–265. doi:10.4111/kju.2010.51.4.260
- Foxman B, Klemstine KL, Brown PD. Acute pyelonephritis in US hospitals in 1997: hospitalization and in-hospital mortality. Ann Epidemiol 2003; 13(2):144–150. pmid:12559674
- Expert Panel on Urologic Imaging: Nikolaidis P, Dogra VS, Goldfarb S, et al. ACR appropriateness criteria acute pyelonephritis. J Am Coll Radiol 2018; 15(11S):S232–S239. doi:10.1016/j.jacr.2018.09.011
- van Nieuwkoop C, Hoppe BP, Bonten TN, et al. Predicting the need for radiologic imaging in adults with febrile urinary tract infection. Clin Infect Dis 2010; 51(11):1266–1272. doi:10.1086/657071
- Kim Y, Seo MR, Kim SJ, et al. Usefulness of blood cultures and radiologic imaging studies in the management of patients with community-acquired acute pyelonephritis. Infect Chemother 2017; 49(1):22–30. doi:10.3947/ic.2017.49.1.22
- Soulen MC, Fishman EK, Goldman SM, Gatewood OM. Bacterial renal infection: role of CT. Radiology 1989; 171(3):703–707. doi:10.1148/radiology.171.3.2655002
- June CH, Browning MD, Smith LP, et al. Ultrasonography and computed tomography in severe urinary tract infection. Arch Intern Med 1985; 145(5):841–845. pmid:3888134
- Taniguchi LS, Torres US, Souza SM, Torres LR, D’Ippolito G. Are the unenhanced and excretory CT phases necessary for the evaluation of acute pyelonephritis? Acta Radiol 2017; 58(5):634–640. doi:10.1177/0284185116665424
- Rathod SB, Kumbhar SS, Nanivadekar A, Aman K. Role of diffusion-weighted MRI in acute pyelonephritis: a prospective study. Acta Radiol 2015; 56(2):244–249. doi:10.1177/0284185114520862
- Stunell H, Buckley O, Feeney J, Geoghegan T, Browne RF, Torreggiani WC. Imaging of acute pyelonephritis in the adult. Eur Radiol 2007; 17(7):1820–1828.
- American College of Radiology. ACR Manual on Contrast Media. www.acr.org/clinical-resources/contrast-manual. Accessed June 19, 2019.
- Yoo JM, Koh JS, Han CH, et al. Diagnosing acute pyelonephritis with CT, Tc-DMSA SPECT, and Doppler ultrasound: a comparative study. Korean J Urol 2010; 51(4):260–265. doi:10.4111/kju.2010.51.4.260
Primary care: Practice meets technology
Technology has infiltrated all parts of our everyday lives, including healthcare. Patients can make and cancel appointments, send e-mails directly to their physician, and request prescription refills—all through electronic portals. Physicians and healthcare providers must adjust to these changes in care-delivery models. Primary care providers must also adapt as younger generations seek access for their health needs outside of the doctor’s office.
And so it is with everyday life. Online banking and bill-paying is common. Groceries can be bought online and delivered within an hour. Connecting with family or friends around the world can be done with the touch of a button. In the United States, 90% of adults own a cell phone; many do not have a land line. More than 65% of adult Americans under age 75 own a smart phone, and 50% of the public owns a tablet computer.1
DRIVERS OF CHANGE: THE MILLENNIALS
The development and use of new technology is driven by the coming of age of the youngest adult population, ie, “Generation Y” or millennials, ie, persons born between 1981 and 1996.2 They now account for 28% of the US adult population, surpassing the baby boomers (born 1946 to 1964) by 8 million.3
Millennials have grown up with the World Wide Web at their fingertips. They are accustomed to an environment full of choices and unlimited, instantly available information.4
Millennials are cost-conscious shoppers who desire convenience and quick access. As patients, they often forgo traditional doctor’s office visits, turning instead to the Internet for quick answers to their questions in blogs and websites.5 A Kaiser Family Foundation survey in 2018 indicated that only a quarter of millennials see a primary care physician for healthcare needs.6
The shortage of primary care physicians
There are several reasons for this. Primary care physicians are in short supply, more Americans have insurance after the passage of the Affordable Care Act, and more physicians are working part-time or retiring earlier than in previous generations. There will be a continued shortfall of 15,000 to 49,000 full-time-equivalent primary care physicians by 2030.7 A survey of 15 large metropolitan markets found that the average wait time for a primary care new patient appointment increased to 24.1 days—a 30% increase from 2014. In some cities, the wait time can be 3 to 4 months.8
Older patients of the baby-boomer generation tend to discuss medical issues with their primary care physician, often relying on their feedback to improve their health lifestyle choices.9 Baby boomers who are Medicare subscribers tend to see their regular doctor at least once or twice a year10; trust is built with this continuity in care.
The rise of pharmacy clinics
But the shortage of primary care physicians and the desire of younger patients for immediate access to care have fueled the growth of new options for access, such as retail clinics in large pharmacies. These clinics are mostly found in the South and Midwest and are staffed by nurse practitioners,11 and 90% of their billing falls under 10 common diagnoses, including urinary tract and upper respiratory infections. More than 40% of patients seeking care at retail pharmacy clinics are 18 to 44 years of age, and less than 25% of this group have a primary care provider.11 These clinics have shorter wait times and limited out-of-pocket costs, and they are more convenient. In a study of adults visiting these clinics for vaccination, 30% did so during evening, weekend, and holiday hours, when traditional doctors’ offices are closed.12
Telemedicine’s foothold
Telemedicine has also taken a foothold in healthcare. Initially used for episodic illnesses, there is now growing acceptance of telemedicine for management of chronic physical and mental health problems. Accessibility to a doctor via a mobile device while at home has proven to be helpful to young, elderly, and minority patients living in rural areas,13 although reimbursement and legal issues continue to constrain its growth.14 Telemedicine is predicted to grow by nearly 15% from now to 2025, especially in North America and Europe, where technology has kept pace and government initiatives are encouraging its advancement.15
The American College of Physicians has published recommendations on how best to use telemedicine, especially when there is already an established patient-physician relationship. Telemedicine can bridge the divide for those who lack access to care because of geographic constraints or who cannot afford a regular doctor’s office appointment.16 It can also allow healthcare “extenders” like social workers, nutritionists, pharmacists, and nurses to work collaboratively with the primary care physician to improve patient education and outcomes.17
Wearable devices
The wearable device market continues to expand, in large part due to the increased availability and utilization of mobile technology. These gadgets can record steps, sleep, and heart rate. Consumer fitness trackers can give patients insight into their activity levels and encourage them to modify their behavior, ie, get up and move around more.17 The Deloitte Center for Health Solutions survey in 2018 showed that 62% of millennials use consumer fitness trackers to help meet their wellness goals, compared with 16% of seniors and 25% of baby boomers.18 There are few studies showing that these devices improve overall health promotion or decrease healthcare costs,17,19 but research is ongoing.
And the “generation gap” in technology’s uptake is slowly closing: 81% of American adults own a smartphone, and the rate in people over age 50 increased from 53% in 2015 to 67% in 2018.20 By comparison, 92% of millennials own a smartphone.1
Smartphone apps
A 2015 survey of more than 1,600 US adults found that 58% had downloaded an application to their smartphone to track their health needs, with 41% using more than 5 health-related apps; the most commonly downloaded apps tracked physical activity, food intake, exercise programs or weight loss progress.21
Users of mobile health apps are generally younger and more highly educated than nonusers.22 However, baby boomers are willing to try mobile health apps if the apps are intuitive, accessible, and effective; this is important, especially since this group accounts for more than 20% of US healthcare expenditures.23 Engaging and empowering baby boomers to use this technology may allow them to remain independent, live healthier, and avoid unnecessary office visits, thus decreasing strain on the limited healthcare workforce.23
ADAPTING TO THE GENERATIONAL SHIFT
Physicians and physician educators should be aware of this generational shift. Millennial-aged doctors will continue to embrace technology to achieve their work-life balance in order to avoid burnout and maintain robust primary care practices whether in the office or outside of it.
Medical school curricula
Medical schools need to adjust their curricula to prepare the next generation of physicians to engage with these new healthcare delivery models and technology. Practicing telemedicine, assessing mobile app safety and utility, and effectively integrating data from patient-specific devices represent a new skill set that is considerably different from the typical face-to-face encounters learners experience today.
Recognizing this, more than 50% of medical schools have added telemedicine and digital health to the curriculum,24 with suggestions to include telemedicine-related content in the Accreditation Council for Graduate Medical Education core competencies.25
Improving the electronic medical record
Maximizing the efficiency of electronic medical records will also be important because physicians currently spend more than 50% of their workday on documentation and administrative tasks; for every 1 hour of patient contact, physicians spend 2 hours in front of the electronic medical record.26 End-users (doctors, nurses, pharmacists, scribes) should interact or engage with developers of electronic medical record systems to promote platforms that enhance workflow, increase connectivity to mobile apps, foster team collaboration, and provide consistency in patient safety and privacy.27
Early and continuous education on use of the electronic medical record should be routine, as proficiency improves work-life balance, physician job satisfaction, and patient care by reducing after-hours note completion and in-box tasks leading to burnout.28
Technology-enabled primary care
Technology-enabled healthcare is here to stay and will continue to evolve, incorporating telehealth, smartphones, mobile apps, in-home and wearable devices, and online video communication.17 Clinicians will need to be adept at working with these technologies to advance quality care in population health. It will require clinician training and professional development, advances in technology, and revised reimbursement policies.17 But despite the increased use of mobile apps, there remain concerns about the possible dangers associated with their use, including breaches in confidentiality, conflicts of interest, and lack of professional medical involvement and evidence in their design.29
THE IMPORTANCE OF BEING SAVVY
There is a growing need for primary care providers to be technologically savvy and readily accessible via e-mail, healthcare portals, or in the office to keep up with the generational shifts and expectations occurring in this decade. Healthcare systems should have the right infrastructure in place, including efficient Web platforms to support telemedicine or to synchronize digital tracking devices, as well as a trained workforce to understand and implement these revolutionary changes into everyday practice. Educators will need to provide training in these changing platforms to medical students and residents. Primary care will evolve to redefine its role within the context of these emerging technologies17 and to adjust to these market demands in order to stay relevant.
- Jiang J. Millennials stand out for their technology use, but older generations also embrace digital life. Pew Research Center. www.pewresearch.org/fact-tank/2018/05/02/millennials-stand-out-for-their-technology-use-but-older-generations-also-embrace-digital-life. Accessed April 2, 2019.
- Dimock, M. Defining generations: Where Millennials end and post-Millennials begin. Pew Research Center. www.pewresearch.org/fact-tank/2019/01/17/where-millennials-end-and-generation-z-begins. Accessed April 2, 2019.
- The Generation Gap in American Politics. Pew Research Center. www.people-press.org/2018/03/01/the-generation-gap-in-american-politics. Accessed April 2, 2019.
- Hopkins L, Hampton BS, Abbott, JF, et al. To the point: medical education, technology and the millennial learner. Am J Obstet Gynecol 2018; 218(2):188–192. doi:10.1016/j.ajog.2017.06.001
- DuPuis R. Courting the impatient patient: providers must embrace millennial’s health care expectations. Central Penn Business Journal. www.cpbj.com/courting-the-impatient-patient-providers-must-embrace-millennials-health-care-expectations. Accessed April 2, 2019.
- Boodman SG. Spurred by convenience, Millennials often spurn the “family doctor” model. Kaiser Health News. khn.org/news/spurred-by-convenience-millennials-often-spurn-the-family-doctor-model. Accessed April 2, 2019.
- Association of American Medical Colleges. 2018 update: the complexities of physician supply and demand: projections from 2016 to 2030. aamc-black.global.ssl.fastly.net/production/media/filer_public/31/13/3113ee5c-a038-4c16-89af-294a69826650/2019_update_-_the_complexities_of_physician_supply_and_demand_-_projections_from_2017-2032.pdf. Accessed April 2, 2019.
- Merritt Hawkins. 2017 Survey of physician appointment wait times and Medicare and Medicaid acceptance rates. www.merritthawkins.com/uploadedFiles/MerrittHawkins/Content/Pdf/mha2017waittimesurveyPDF.pdf. Accessed April 2, 2019.
- SSRN. Employee Benefit Research Institute. Consumer engagement in health care among Millennials, Baby Boomers, and Generation X: findings from the 2017 Consumer Engagement in Health Care Survey. papers.ssrn.com/sol3/papers.cfm?abstract_id=3160059. Accessed April 2, 2019.
- Centers for Disease Control and Prevention (CDC). Summary health statistics: national health interview survey, 2016, Table A–18c. ftp.cdc.gov/pub/Health_Statistics/NCHS/NHIS/SHS/2016_SHS_Table_A-18.pdf. Accessed April 2, 2019.
- Rand Corporation. The evolving role of retail clinics. www.rand.org/content/dam/rand/pubs/research_briefs/RB9400/RB9491-2/RAND_RB9491-2.pdf. Accessed April 2, 2019.
- Goad JA, Taitel MS, Fensterheim LE, Cannon, AE. Vaccinations administered during off-clinic hours at a national community pharmacy: implications for increasing patient access and convenience. Ann Fam Med 2013; 11(5):429–436. doi:10.1370/afm.1542
- Hansen MR, Okuda DT. Multiple sclerosis in the contemporary age: understanding the Millennial patient with multiple sclerosis to create next-generation care, Neurol Clin 2018; 36(1):219–230. doi:10.1016/j.ncl.2017.08.012
- Dorsey ER, Topol EJ. State of telehealth. N Engl J Med 2016; 375(2):154–161. doi:10.1056/NEJMra1601705
- Landi, H. Report: telehealth market estimated to reach $19.5B by 2025. Healthcare Informatics. www.healthcare-informatics.com/news-item/telemedicine/report-telehealth-market-estimated-reach-195b-2025. Accessed April 2, 2019.
- Daniel H, Sulmasy LS; Health and Public Policy Committee of the American College of Physicians. Policy recommendations to guide the use of telemedicine in primary care settings: an American College of Physicians position paper. Ann Intern Med 2015; 163(10):787–789. doi:10.7326/M15-0498
- Young HM, Nesbitt TS. Increasing the capacity of primary care through enabling technology. J Gen Intern Med 2017; 32(4):398–403. doi:10.1007/s11606-016-3952-3
- Abrams K, Korba C. Consumers are on board with virtual health options. Deloitte Insights, www2.deloitte.com/insights/us/en/industry/health-care/virtual-health-care-consumer-experience-survey.html. Accessed April 2, 2019.
- Coughlin SS, Stewart J. Use of consumer wearable devices to promote physical activity: a review of health intervention studies. J Environ Health Sci 2016; 2(6). doi:10.15436/2378-6841.16.1123
- Taylor K, Silver L. Smartphone ownership is growing rapidly around the world but not always equally. Pew Research Center. www.pewglobal.org/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the-world-but-not-always-equally. Accessed April 2, 2019.
- Krebs P, Duncan DT. Health app use among us mobile phone owners: a national survey. JMIR Mhealth Uhealth 2015; 3(4):e101. doi:10.2196/mhealth.4924
- Carroll JK, Moorhead A, Bond R, LeBlanc WG, Petrella RJ, Fiscella K. Who uses mobile health apps and does use matter? A secondary data analytics approach. J Med Internet Res 2017; 19(4):e125. doi:10.2196/jmir.5604
- Kruse CS, Mileski M, Moreno J. Mobile health solutions for the aging population: a systematic narrative analysis. J Telemed Telecare 2017; 23(4):439–451. doi:10.1177/1357633X16649790
- Warshaw R. From bedside to webside: future doctors learn to practice remotely. AAMC News. news.aamc.org/medical-education/article/future-doctors-learn-practice-remotely. Accessed April 2, 2019.
- DeJong C, Lucey CR, Dudley RA. Incorporating a new technology while doing no harm, virtually. JAMA 2015; 314(22):2351–2352. doi:10.1001/jama.2015.13572
- Sinsky C, Colligan L, Li L, Prgomet M, Reynolds S, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med 2016; 165(11):753–760. doi:10.7326/M16-0961
- Kim MS. Improving electronic health records training through usability evaluation in primary care. J Health and Med Informat 2013; 4(5) e110. doi:10.4172/2157-7420.1000e110
- Robertson SL, Robinson MD, Reid A. Electronic health record effects on work-life balance and burnout within the i3 population collaborative. J Grad Med Educ 2017; 9(4):479–484. doi:10.4300/JGME-D-16-00123.1
- Buijink AW, Visser BJ, Marshall L. Medical apps for smartphones: lack of evidence undermines quality and safety. Evid Based Med 2013; 18(3):90–92. doi:10.1136/eb-2012-100885
Technology has infiltrated all parts of our everyday lives, including healthcare. Patients can make and cancel appointments, send e-mails directly to their physician, and request prescription refills—all through electronic portals. Physicians and healthcare providers must adjust to these changes in care-delivery models. Primary care providers must also adapt as younger generations seek access for their health needs outside of the doctor’s office.
And so it is with everyday life. Online banking and bill-paying is common. Groceries can be bought online and delivered within an hour. Connecting with family or friends around the world can be done with the touch of a button. In the United States, 90% of adults own a cell phone; many do not have a land line. More than 65% of adult Americans under age 75 own a smart phone, and 50% of the public owns a tablet computer.1
DRIVERS OF CHANGE: THE MILLENNIALS
The development and use of new technology is driven by the coming of age of the youngest adult population, ie, “Generation Y” or millennials, ie, persons born between 1981 and 1996.2 They now account for 28% of the US adult population, surpassing the baby boomers (born 1946 to 1964) by 8 million.3
Millennials have grown up with the World Wide Web at their fingertips. They are accustomed to an environment full of choices and unlimited, instantly available information.4
Millennials are cost-conscious shoppers who desire convenience and quick access. As patients, they often forgo traditional doctor’s office visits, turning instead to the Internet for quick answers to their questions in blogs and websites.5 A Kaiser Family Foundation survey in 2018 indicated that only a quarter of millennials see a primary care physician for healthcare needs.6
The shortage of primary care physicians
There are several reasons for this. Primary care physicians are in short supply, more Americans have insurance after the passage of the Affordable Care Act, and more physicians are working part-time or retiring earlier than in previous generations. There will be a continued shortfall of 15,000 to 49,000 full-time-equivalent primary care physicians by 2030.7 A survey of 15 large metropolitan markets found that the average wait time for a primary care new patient appointment increased to 24.1 days—a 30% increase from 2014. In some cities, the wait time can be 3 to 4 months.8
Older patients of the baby-boomer generation tend to discuss medical issues with their primary care physician, often relying on their feedback to improve their health lifestyle choices.9 Baby boomers who are Medicare subscribers tend to see their regular doctor at least once or twice a year10; trust is built with this continuity in care.
The rise of pharmacy clinics
But the shortage of primary care physicians and the desire of younger patients for immediate access to care have fueled the growth of new options for access, such as retail clinics in large pharmacies. These clinics are mostly found in the South and Midwest and are staffed by nurse practitioners,11 and 90% of their billing falls under 10 common diagnoses, including urinary tract and upper respiratory infections. More than 40% of patients seeking care at retail pharmacy clinics are 18 to 44 years of age, and less than 25% of this group have a primary care provider.11 These clinics have shorter wait times and limited out-of-pocket costs, and they are more convenient. In a study of adults visiting these clinics for vaccination, 30% did so during evening, weekend, and holiday hours, when traditional doctors’ offices are closed.12
Telemedicine’s foothold
Telemedicine has also taken a foothold in healthcare. Initially used for episodic illnesses, there is now growing acceptance of telemedicine for management of chronic physical and mental health problems. Accessibility to a doctor via a mobile device while at home has proven to be helpful to young, elderly, and minority patients living in rural areas,13 although reimbursement and legal issues continue to constrain its growth.14 Telemedicine is predicted to grow by nearly 15% from now to 2025, especially in North America and Europe, where technology has kept pace and government initiatives are encouraging its advancement.15
The American College of Physicians has published recommendations on how best to use telemedicine, especially when there is already an established patient-physician relationship. Telemedicine can bridge the divide for those who lack access to care because of geographic constraints or who cannot afford a regular doctor’s office appointment.16 It can also allow healthcare “extenders” like social workers, nutritionists, pharmacists, and nurses to work collaboratively with the primary care physician to improve patient education and outcomes.17
Wearable devices
The wearable device market continues to expand, in large part due to the increased availability and utilization of mobile technology. These gadgets can record steps, sleep, and heart rate. Consumer fitness trackers can give patients insight into their activity levels and encourage them to modify their behavior, ie, get up and move around more.17 The Deloitte Center for Health Solutions survey in 2018 showed that 62% of millennials use consumer fitness trackers to help meet their wellness goals, compared with 16% of seniors and 25% of baby boomers.18 There are few studies showing that these devices improve overall health promotion or decrease healthcare costs,17,19 but research is ongoing.
And the “generation gap” in technology’s uptake is slowly closing: 81% of American adults own a smartphone, and the rate in people over age 50 increased from 53% in 2015 to 67% in 2018.20 By comparison, 92% of millennials own a smartphone.1
Smartphone apps
A 2015 survey of more than 1,600 US adults found that 58% had downloaded an application to their smartphone to track their health needs, with 41% using more than 5 health-related apps; the most commonly downloaded apps tracked physical activity, food intake, exercise programs or weight loss progress.21
Users of mobile health apps are generally younger and more highly educated than nonusers.22 However, baby boomers are willing to try mobile health apps if the apps are intuitive, accessible, and effective; this is important, especially since this group accounts for more than 20% of US healthcare expenditures.23 Engaging and empowering baby boomers to use this technology may allow them to remain independent, live healthier, and avoid unnecessary office visits, thus decreasing strain on the limited healthcare workforce.23
ADAPTING TO THE GENERATIONAL SHIFT
Physicians and physician educators should be aware of this generational shift. Millennial-aged doctors will continue to embrace technology to achieve their work-life balance in order to avoid burnout and maintain robust primary care practices whether in the office or outside of it.
Medical school curricula
Medical schools need to adjust their curricula to prepare the next generation of physicians to engage with these new healthcare delivery models and technology. Practicing telemedicine, assessing mobile app safety and utility, and effectively integrating data from patient-specific devices represent a new skill set that is considerably different from the typical face-to-face encounters learners experience today.
Recognizing this, more than 50% of medical schools have added telemedicine and digital health to the curriculum,24 with suggestions to include telemedicine-related content in the Accreditation Council for Graduate Medical Education core competencies.25
Improving the electronic medical record
Maximizing the efficiency of electronic medical records will also be important because physicians currently spend more than 50% of their workday on documentation and administrative tasks; for every 1 hour of patient contact, physicians spend 2 hours in front of the electronic medical record.26 End-users (doctors, nurses, pharmacists, scribes) should interact or engage with developers of electronic medical record systems to promote platforms that enhance workflow, increase connectivity to mobile apps, foster team collaboration, and provide consistency in patient safety and privacy.27
Early and continuous education on use of the electronic medical record should be routine, as proficiency improves work-life balance, physician job satisfaction, and patient care by reducing after-hours note completion and in-box tasks leading to burnout.28
Technology-enabled primary care
Technology-enabled healthcare is here to stay and will continue to evolve, incorporating telehealth, smartphones, mobile apps, in-home and wearable devices, and online video communication.17 Clinicians will need to be adept at working with these technologies to advance quality care in population health. It will require clinician training and professional development, advances in technology, and revised reimbursement policies.17 But despite the increased use of mobile apps, there remain concerns about the possible dangers associated with their use, including breaches in confidentiality, conflicts of interest, and lack of professional medical involvement and evidence in their design.29
THE IMPORTANCE OF BEING SAVVY
There is a growing need for primary care providers to be technologically savvy and readily accessible via e-mail, healthcare portals, or in the office to keep up with the generational shifts and expectations occurring in this decade. Healthcare systems should have the right infrastructure in place, including efficient Web platforms to support telemedicine or to synchronize digital tracking devices, as well as a trained workforce to understand and implement these revolutionary changes into everyday practice. Educators will need to provide training in these changing platforms to medical students and residents. Primary care will evolve to redefine its role within the context of these emerging technologies17 and to adjust to these market demands in order to stay relevant.
Technology has infiltrated all parts of our everyday lives, including healthcare. Patients can make and cancel appointments, send e-mails directly to their physician, and request prescription refills—all through electronic portals. Physicians and healthcare providers must adjust to these changes in care-delivery models. Primary care providers must also adapt as younger generations seek access for their health needs outside of the doctor’s office.
And so it is with everyday life. Online banking and bill-paying is common. Groceries can be bought online and delivered within an hour. Connecting with family or friends around the world can be done with the touch of a button. In the United States, 90% of adults own a cell phone; many do not have a land line. More than 65% of adult Americans under age 75 own a smart phone, and 50% of the public owns a tablet computer.1
DRIVERS OF CHANGE: THE MILLENNIALS
The development and use of new technology is driven by the coming of age of the youngest adult population, ie, “Generation Y” or millennials, ie, persons born between 1981 and 1996.2 They now account for 28% of the US adult population, surpassing the baby boomers (born 1946 to 1964) by 8 million.3
Millennials have grown up with the World Wide Web at their fingertips. They are accustomed to an environment full of choices and unlimited, instantly available information.4
Millennials are cost-conscious shoppers who desire convenience and quick access. As patients, they often forgo traditional doctor’s office visits, turning instead to the Internet for quick answers to their questions in blogs and websites.5 A Kaiser Family Foundation survey in 2018 indicated that only a quarter of millennials see a primary care physician for healthcare needs.6
The shortage of primary care physicians
There are several reasons for this. Primary care physicians are in short supply, more Americans have insurance after the passage of the Affordable Care Act, and more physicians are working part-time or retiring earlier than in previous generations. There will be a continued shortfall of 15,000 to 49,000 full-time-equivalent primary care physicians by 2030.7 A survey of 15 large metropolitan markets found that the average wait time for a primary care new patient appointment increased to 24.1 days—a 30% increase from 2014. In some cities, the wait time can be 3 to 4 months.8
Older patients of the baby-boomer generation tend to discuss medical issues with their primary care physician, often relying on their feedback to improve their health lifestyle choices.9 Baby boomers who are Medicare subscribers tend to see their regular doctor at least once or twice a year10; trust is built with this continuity in care.
The rise of pharmacy clinics
But the shortage of primary care physicians and the desire of younger patients for immediate access to care have fueled the growth of new options for access, such as retail clinics in large pharmacies. These clinics are mostly found in the South and Midwest and are staffed by nurse practitioners,11 and 90% of their billing falls under 10 common diagnoses, including urinary tract and upper respiratory infections. More than 40% of patients seeking care at retail pharmacy clinics are 18 to 44 years of age, and less than 25% of this group have a primary care provider.11 These clinics have shorter wait times and limited out-of-pocket costs, and they are more convenient. In a study of adults visiting these clinics for vaccination, 30% did so during evening, weekend, and holiday hours, when traditional doctors’ offices are closed.12
Telemedicine’s foothold
Telemedicine has also taken a foothold in healthcare. Initially used for episodic illnesses, there is now growing acceptance of telemedicine for management of chronic physical and mental health problems. Accessibility to a doctor via a mobile device while at home has proven to be helpful to young, elderly, and minority patients living in rural areas,13 although reimbursement and legal issues continue to constrain its growth.14 Telemedicine is predicted to grow by nearly 15% from now to 2025, especially in North America and Europe, where technology has kept pace and government initiatives are encouraging its advancement.15
The American College of Physicians has published recommendations on how best to use telemedicine, especially when there is already an established patient-physician relationship. Telemedicine can bridge the divide for those who lack access to care because of geographic constraints or who cannot afford a regular doctor’s office appointment.16 It can also allow healthcare “extenders” like social workers, nutritionists, pharmacists, and nurses to work collaboratively with the primary care physician to improve patient education and outcomes.17
Wearable devices
The wearable device market continues to expand, in large part due to the increased availability and utilization of mobile technology. These gadgets can record steps, sleep, and heart rate. Consumer fitness trackers can give patients insight into their activity levels and encourage them to modify their behavior, ie, get up and move around more.17 The Deloitte Center for Health Solutions survey in 2018 showed that 62% of millennials use consumer fitness trackers to help meet their wellness goals, compared with 16% of seniors and 25% of baby boomers.18 There are few studies showing that these devices improve overall health promotion or decrease healthcare costs,17,19 but research is ongoing.
And the “generation gap” in technology’s uptake is slowly closing: 81% of American adults own a smartphone, and the rate in people over age 50 increased from 53% in 2015 to 67% in 2018.20 By comparison, 92% of millennials own a smartphone.1
Smartphone apps
A 2015 survey of more than 1,600 US adults found that 58% had downloaded an application to their smartphone to track their health needs, with 41% using more than 5 health-related apps; the most commonly downloaded apps tracked physical activity, food intake, exercise programs or weight loss progress.21
Users of mobile health apps are generally younger and more highly educated than nonusers.22 However, baby boomers are willing to try mobile health apps if the apps are intuitive, accessible, and effective; this is important, especially since this group accounts for more than 20% of US healthcare expenditures.23 Engaging and empowering baby boomers to use this technology may allow them to remain independent, live healthier, and avoid unnecessary office visits, thus decreasing strain on the limited healthcare workforce.23
ADAPTING TO THE GENERATIONAL SHIFT
Physicians and physician educators should be aware of this generational shift. Millennial-aged doctors will continue to embrace technology to achieve their work-life balance in order to avoid burnout and maintain robust primary care practices whether in the office or outside of it.
Medical school curricula
Medical schools need to adjust their curricula to prepare the next generation of physicians to engage with these new healthcare delivery models and technology. Practicing telemedicine, assessing mobile app safety and utility, and effectively integrating data from patient-specific devices represent a new skill set that is considerably different from the typical face-to-face encounters learners experience today.
Recognizing this, more than 50% of medical schools have added telemedicine and digital health to the curriculum,24 with suggestions to include telemedicine-related content in the Accreditation Council for Graduate Medical Education core competencies.25
Improving the electronic medical record
Maximizing the efficiency of electronic medical records will also be important because physicians currently spend more than 50% of their workday on documentation and administrative tasks; for every 1 hour of patient contact, physicians spend 2 hours in front of the electronic medical record.26 End-users (doctors, nurses, pharmacists, scribes) should interact or engage with developers of electronic medical record systems to promote platforms that enhance workflow, increase connectivity to mobile apps, foster team collaboration, and provide consistency in patient safety and privacy.27
Early and continuous education on use of the electronic medical record should be routine, as proficiency improves work-life balance, physician job satisfaction, and patient care by reducing after-hours note completion and in-box tasks leading to burnout.28
Technology-enabled primary care
Technology-enabled healthcare is here to stay and will continue to evolve, incorporating telehealth, smartphones, mobile apps, in-home and wearable devices, and online video communication.17 Clinicians will need to be adept at working with these technologies to advance quality care in population health. It will require clinician training and professional development, advances in technology, and revised reimbursement policies.17 But despite the increased use of mobile apps, there remain concerns about the possible dangers associated with their use, including breaches in confidentiality, conflicts of interest, and lack of professional medical involvement and evidence in their design.29
THE IMPORTANCE OF BEING SAVVY
There is a growing need for primary care providers to be technologically savvy and readily accessible via e-mail, healthcare portals, or in the office to keep up with the generational shifts and expectations occurring in this decade. Healthcare systems should have the right infrastructure in place, including efficient Web platforms to support telemedicine or to synchronize digital tracking devices, as well as a trained workforce to understand and implement these revolutionary changes into everyday practice. Educators will need to provide training in these changing platforms to medical students and residents. Primary care will evolve to redefine its role within the context of these emerging technologies17 and to adjust to these market demands in order to stay relevant.
- Jiang J. Millennials stand out for their technology use, but older generations also embrace digital life. Pew Research Center. www.pewresearch.org/fact-tank/2018/05/02/millennials-stand-out-for-their-technology-use-but-older-generations-also-embrace-digital-life. Accessed April 2, 2019.
- Dimock, M. Defining generations: Where Millennials end and post-Millennials begin. Pew Research Center. www.pewresearch.org/fact-tank/2019/01/17/where-millennials-end-and-generation-z-begins. Accessed April 2, 2019.
- The Generation Gap in American Politics. Pew Research Center. www.people-press.org/2018/03/01/the-generation-gap-in-american-politics. Accessed April 2, 2019.
- Hopkins L, Hampton BS, Abbott, JF, et al. To the point: medical education, technology and the millennial learner. Am J Obstet Gynecol 2018; 218(2):188–192. doi:10.1016/j.ajog.2017.06.001
- DuPuis R. Courting the impatient patient: providers must embrace millennial’s health care expectations. Central Penn Business Journal. www.cpbj.com/courting-the-impatient-patient-providers-must-embrace-millennials-health-care-expectations. Accessed April 2, 2019.
- Boodman SG. Spurred by convenience, Millennials often spurn the “family doctor” model. Kaiser Health News. khn.org/news/spurred-by-convenience-millennials-often-spurn-the-family-doctor-model. Accessed April 2, 2019.
- Association of American Medical Colleges. 2018 update: the complexities of physician supply and demand: projections from 2016 to 2030. aamc-black.global.ssl.fastly.net/production/media/filer_public/31/13/3113ee5c-a038-4c16-89af-294a69826650/2019_update_-_the_complexities_of_physician_supply_and_demand_-_projections_from_2017-2032.pdf. Accessed April 2, 2019.
- Merritt Hawkins. 2017 Survey of physician appointment wait times and Medicare and Medicaid acceptance rates. www.merritthawkins.com/uploadedFiles/MerrittHawkins/Content/Pdf/mha2017waittimesurveyPDF.pdf. Accessed April 2, 2019.
- SSRN. Employee Benefit Research Institute. Consumer engagement in health care among Millennials, Baby Boomers, and Generation X: findings from the 2017 Consumer Engagement in Health Care Survey. papers.ssrn.com/sol3/papers.cfm?abstract_id=3160059. Accessed April 2, 2019.
- Centers for Disease Control and Prevention (CDC). Summary health statistics: national health interview survey, 2016, Table A–18c. ftp.cdc.gov/pub/Health_Statistics/NCHS/NHIS/SHS/2016_SHS_Table_A-18.pdf. Accessed April 2, 2019.
- Rand Corporation. The evolving role of retail clinics. www.rand.org/content/dam/rand/pubs/research_briefs/RB9400/RB9491-2/RAND_RB9491-2.pdf. Accessed April 2, 2019.
- Goad JA, Taitel MS, Fensterheim LE, Cannon, AE. Vaccinations administered during off-clinic hours at a national community pharmacy: implications for increasing patient access and convenience. Ann Fam Med 2013; 11(5):429–436. doi:10.1370/afm.1542
- Hansen MR, Okuda DT. Multiple sclerosis in the contemporary age: understanding the Millennial patient with multiple sclerosis to create next-generation care, Neurol Clin 2018; 36(1):219–230. doi:10.1016/j.ncl.2017.08.012
- Dorsey ER, Topol EJ. State of telehealth. N Engl J Med 2016; 375(2):154–161. doi:10.1056/NEJMra1601705
- Landi, H. Report: telehealth market estimated to reach $19.5B by 2025. Healthcare Informatics. www.healthcare-informatics.com/news-item/telemedicine/report-telehealth-market-estimated-reach-195b-2025. Accessed April 2, 2019.
- Daniel H, Sulmasy LS; Health and Public Policy Committee of the American College of Physicians. Policy recommendations to guide the use of telemedicine in primary care settings: an American College of Physicians position paper. Ann Intern Med 2015; 163(10):787–789. doi:10.7326/M15-0498
- Young HM, Nesbitt TS. Increasing the capacity of primary care through enabling technology. J Gen Intern Med 2017; 32(4):398–403. doi:10.1007/s11606-016-3952-3
- Abrams K, Korba C. Consumers are on board with virtual health options. Deloitte Insights, www2.deloitte.com/insights/us/en/industry/health-care/virtual-health-care-consumer-experience-survey.html. Accessed April 2, 2019.
- Coughlin SS, Stewart J. Use of consumer wearable devices to promote physical activity: a review of health intervention studies. J Environ Health Sci 2016; 2(6). doi:10.15436/2378-6841.16.1123
- Taylor K, Silver L. Smartphone ownership is growing rapidly around the world but not always equally. Pew Research Center. www.pewglobal.org/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the-world-but-not-always-equally. Accessed April 2, 2019.
- Krebs P, Duncan DT. Health app use among us mobile phone owners: a national survey. JMIR Mhealth Uhealth 2015; 3(4):e101. doi:10.2196/mhealth.4924
- Carroll JK, Moorhead A, Bond R, LeBlanc WG, Petrella RJ, Fiscella K. Who uses mobile health apps and does use matter? A secondary data analytics approach. J Med Internet Res 2017; 19(4):e125. doi:10.2196/jmir.5604
- Kruse CS, Mileski M, Moreno J. Mobile health solutions for the aging population: a systematic narrative analysis. J Telemed Telecare 2017; 23(4):439–451. doi:10.1177/1357633X16649790
- Warshaw R. From bedside to webside: future doctors learn to practice remotely. AAMC News. news.aamc.org/medical-education/article/future-doctors-learn-practice-remotely. Accessed April 2, 2019.
- DeJong C, Lucey CR, Dudley RA. Incorporating a new technology while doing no harm, virtually. JAMA 2015; 314(22):2351–2352. doi:10.1001/jama.2015.13572
- Sinsky C, Colligan L, Li L, Prgomet M, Reynolds S, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med 2016; 165(11):753–760. doi:10.7326/M16-0961
- Kim MS. Improving electronic health records training through usability evaluation in primary care. J Health and Med Informat 2013; 4(5) e110. doi:10.4172/2157-7420.1000e110
- Robertson SL, Robinson MD, Reid A. Electronic health record effects on work-life balance and burnout within the i3 population collaborative. J Grad Med Educ 2017; 9(4):479–484. doi:10.4300/JGME-D-16-00123.1
- Buijink AW, Visser BJ, Marshall L. Medical apps for smartphones: lack of evidence undermines quality and safety. Evid Based Med 2013; 18(3):90–92. doi:10.1136/eb-2012-100885
- Jiang J. Millennials stand out for their technology use, but older generations also embrace digital life. Pew Research Center. www.pewresearch.org/fact-tank/2018/05/02/millennials-stand-out-for-their-technology-use-but-older-generations-also-embrace-digital-life. Accessed April 2, 2019.
- Dimock, M. Defining generations: Where Millennials end and post-Millennials begin. Pew Research Center. www.pewresearch.org/fact-tank/2019/01/17/where-millennials-end-and-generation-z-begins. Accessed April 2, 2019.
- The Generation Gap in American Politics. Pew Research Center. www.people-press.org/2018/03/01/the-generation-gap-in-american-politics. Accessed April 2, 2019.
- Hopkins L, Hampton BS, Abbott, JF, et al. To the point: medical education, technology and the millennial learner. Am J Obstet Gynecol 2018; 218(2):188–192. doi:10.1016/j.ajog.2017.06.001
- DuPuis R. Courting the impatient patient: providers must embrace millennial’s health care expectations. Central Penn Business Journal. www.cpbj.com/courting-the-impatient-patient-providers-must-embrace-millennials-health-care-expectations. Accessed April 2, 2019.
- Boodman SG. Spurred by convenience, Millennials often spurn the “family doctor” model. Kaiser Health News. khn.org/news/spurred-by-convenience-millennials-often-spurn-the-family-doctor-model. Accessed April 2, 2019.
- Association of American Medical Colleges. 2018 update: the complexities of physician supply and demand: projections from 2016 to 2030. aamc-black.global.ssl.fastly.net/production/media/filer_public/31/13/3113ee5c-a038-4c16-89af-294a69826650/2019_update_-_the_complexities_of_physician_supply_and_demand_-_projections_from_2017-2032.pdf. Accessed April 2, 2019.
- Merritt Hawkins. 2017 Survey of physician appointment wait times and Medicare and Medicaid acceptance rates. www.merritthawkins.com/uploadedFiles/MerrittHawkins/Content/Pdf/mha2017waittimesurveyPDF.pdf. Accessed April 2, 2019.
- SSRN. Employee Benefit Research Institute. Consumer engagement in health care among Millennials, Baby Boomers, and Generation X: findings from the 2017 Consumer Engagement in Health Care Survey. papers.ssrn.com/sol3/papers.cfm?abstract_id=3160059. Accessed April 2, 2019.
- Centers for Disease Control and Prevention (CDC). Summary health statistics: national health interview survey, 2016, Table A–18c. ftp.cdc.gov/pub/Health_Statistics/NCHS/NHIS/SHS/2016_SHS_Table_A-18.pdf. Accessed April 2, 2019.
- Rand Corporation. The evolving role of retail clinics. www.rand.org/content/dam/rand/pubs/research_briefs/RB9400/RB9491-2/RAND_RB9491-2.pdf. Accessed April 2, 2019.
- Goad JA, Taitel MS, Fensterheim LE, Cannon, AE. Vaccinations administered during off-clinic hours at a national community pharmacy: implications for increasing patient access and convenience. Ann Fam Med 2013; 11(5):429–436. doi:10.1370/afm.1542
- Hansen MR, Okuda DT. Multiple sclerosis in the contemporary age: understanding the Millennial patient with multiple sclerosis to create next-generation care, Neurol Clin 2018; 36(1):219–230. doi:10.1016/j.ncl.2017.08.012
- Dorsey ER, Topol EJ. State of telehealth. N Engl J Med 2016; 375(2):154–161. doi:10.1056/NEJMra1601705
- Landi, H. Report: telehealth market estimated to reach $19.5B by 2025. Healthcare Informatics. www.healthcare-informatics.com/news-item/telemedicine/report-telehealth-market-estimated-reach-195b-2025. Accessed April 2, 2019.
- Daniel H, Sulmasy LS; Health and Public Policy Committee of the American College of Physicians. Policy recommendations to guide the use of telemedicine in primary care settings: an American College of Physicians position paper. Ann Intern Med 2015; 163(10):787–789. doi:10.7326/M15-0498
- Young HM, Nesbitt TS. Increasing the capacity of primary care through enabling technology. J Gen Intern Med 2017; 32(4):398–403. doi:10.1007/s11606-016-3952-3
- Abrams K, Korba C. Consumers are on board with virtual health options. Deloitte Insights, www2.deloitte.com/insights/us/en/industry/health-care/virtual-health-care-consumer-experience-survey.html. Accessed April 2, 2019.
- Coughlin SS, Stewart J. Use of consumer wearable devices to promote physical activity: a review of health intervention studies. J Environ Health Sci 2016; 2(6). doi:10.15436/2378-6841.16.1123
- Taylor K, Silver L. Smartphone ownership is growing rapidly around the world but not always equally. Pew Research Center. www.pewglobal.org/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the-world-but-not-always-equally. Accessed April 2, 2019.
- Krebs P, Duncan DT. Health app use among us mobile phone owners: a national survey. JMIR Mhealth Uhealth 2015; 3(4):e101. doi:10.2196/mhealth.4924
- Carroll JK, Moorhead A, Bond R, LeBlanc WG, Petrella RJ, Fiscella K. Who uses mobile health apps and does use matter? A secondary data analytics approach. J Med Internet Res 2017; 19(4):e125. doi:10.2196/jmir.5604
- Kruse CS, Mileski M, Moreno J. Mobile health solutions for the aging population: a systematic narrative analysis. J Telemed Telecare 2017; 23(4):439–451. doi:10.1177/1357633X16649790
- Warshaw R. From bedside to webside: future doctors learn to practice remotely. AAMC News. news.aamc.org/medical-education/article/future-doctors-learn-practice-remotely. Accessed April 2, 2019.
- DeJong C, Lucey CR, Dudley RA. Incorporating a new technology while doing no harm, virtually. JAMA 2015; 314(22):2351–2352. doi:10.1001/jama.2015.13572
- Sinsky C, Colligan L, Li L, Prgomet M, Reynolds S, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med 2016; 165(11):753–760. doi:10.7326/M16-0961
- Kim MS. Improving electronic health records training through usability evaluation in primary care. J Health and Med Informat 2013; 4(5) e110. doi:10.4172/2157-7420.1000e110
- Robertson SL, Robinson MD, Reid A. Electronic health record effects on work-life balance and burnout within the i3 population collaborative. J Grad Med Educ 2017; 9(4):479–484. doi:10.4300/JGME-D-16-00123.1
- Buijink AW, Visser BJ, Marshall L. Medical apps for smartphones: lack of evidence undermines quality and safety. Evid Based Med 2013; 18(3):90–92. doi:10.1136/eb-2012-100885
Aspirin: 4,000 years and still learning
Aspirin (acetylsalicylic acid) and its progenitors are valuable medications with a history spanning at least 4 millennia. An enormous number of patients take aspirin for a variety of reasons, and managing their therapy around the time of surgery can be challenging, as Drs. Prabhakaran and Whinney discuss in this issue.1 Even after 4,000 years, we are still learning about these remarkable drugs.
LEARNING WHAT SALICYLATES ARE
LEARNING (AND IGNORING) WHAT ASPIRIN CAN DO
In the 1940s, a general practitioner in California named Lawrence Craven recognized that many of his post-tonsillectomy patients had to be hospitalized for bleeding after he started recommending they use aspirin-containing chewing gum for pain relief.4 Under the then-debated hypothesis that myocardial infarction (MI) involves thrombosis, he recommended that adult men should take aspirin daily. He believed that women had lower rates of MI because they were more likely to take aspirin, something that men did not view as a “masculine” thing to do.
In a series of letters in journals such as the Mississippi Valley Medical Journal,5 Craven reported his observations of very low rates of MI and no strokes in aspirin users. Given the nonrigorous nature of his research and the obscure journals in which he published, his findings languished for many years. Ironically, he died of an MI in 1957.
LEARNING HOW ASPIRIN WORKS (AND A FEW OTHER THINGS)
The history of aspirin research illustrates how the fields of hemostasis and inflammation are now linked.
In the late 1960s, Weiss et al6 reported that aspirin rapidly and irreversibly inhibits platelet aggregation. In parallel, using biological assays in work that eventually led to the Nobel Prize, Vane7 discovered that inflammation involves the de novo synthesis of prostaglandins and that aspirin directly inhibits this synthesis. Further work connecting these lines of investigation led us to understand that platelet aggregation is enhanced by the prostaglandin derivative thromboxane A2, produced by cyclooxygenase-1, and that aspirin irreversibly inhibits this enzyme by acetylation.
LEARNING WHEN TO USE ASPIRIN
After decades of research ranging from the Physicians’ Health Study to well-named trials such as ARRIVE, ASCEND, and ASPREE, we now know that taking daily low doses of aspirin for primary prevention can reduce the risk of cardiovascular events and may reduce the risk of colorectal cancer—but at the cost of an increased risk of bleeding.8
Which patients will gain the most benefit and incur the least risk is still debated. What is certain, however, is that aspirin has an important role in acute coronary syndromes, secondary prevention of MI and stroke, and prevention of thrombosis after coronary stent placement. In the perioperative setting, we are learning that aspirin may benefit patients with myocardial injury after noncardiac surgery, a recently described clinical entity associated with surprisingly high mortality rates.9,10
LEARNING WHEN NOT TO USE ASPIRIN
The perioperative period is a dangerous time—surgical stress, hypercoagulability, inflammation, pain, and hemodynamic changes predispose to plaque rupture and supply-demand imbalance. It is therefore logical to hope aspirin would provide protection for at-risk patients in this context.
Unfortunately, results from the second Perioperative Ischemic Evaluation trial have dampened enthusiasm.11 Aspirin has now joined clonidine and beta-blockers on the list of interventions that probably do not reduce perioperative cardiovascular mortality rates. Other than protecting against stent thrombosis, aspirin’s main perioperative effect is to increase bleeding. Consequently, some surgical procedures mandate withdrawal of aspirin.
WHAT WE STILL NEED TO LEARN
Over the years, we have learned the broad outlines of using aspirin to prevent and treat cardiovascular disease, to relieve pain and inflammation (its original purpose), and to prevent stent thrombosis.
However, many details remain to be filled in. We need to better define groups who should and should not take aspirin for primary prevention. We also need to understand aspirin’s role in cancer chemoprevention, to find better ways to mitigate its undesirable effects, and to study its role in treating myocardial injury after noncardiac surgery.
Finally, we need to determine which (if any) patients without coronary stents will benefit from continuing their aspirin perioperatively or even initiating aspirin therapy preoperatively.
Will humanity still be using salicylates 4,000 years from now? Probably not. But what we have learned and will continue to learn from this remarkable group of medications will certainly inform new and better therapies in the years to come.
- Prabhakaran A, Whinney C. Should we stop aspirin before noncardiac surgery? Cleve Clin J Med 2019; 86(8):518–521. doi:10.3949/ccjm.86a.19036
- Jeffreys D. Aspirin: The Remarkable Story of a Wonder Drug. New York: Bloomsbury; 2008.
- Mann CC, Plummer ML. The Aspirin Wars: Money, Medicine, and 100 Years of Rampant Competition. New York: Alfred A. Knopf; 1991.
- Miner J, Hoffhines A. The discovery of aspirin's antithrombotic effects. Tex Heart Inst J 2007; 34(2):179–186. pmid:17622365
- Craven LL. Prevention of coronary and cerebral thrombosis. Miss Valley Med J 1956; 78(5):213–215. pmid:13358612
- Weiss HJ, Aledort LM, Kochwa S. The effect of salicylates on the hemostatic properties of platelets in man. J Clin Invest 1968; 47(9):2169–2180. doi:10.1172/JCI105903
- Vane JR. Inhibition of prostaglandin synthesis as a mechanism of action for aspirin-like drugs. Nat New Biol 1971; 231(25):232–235. pmid:5284360
- US Preventive Services Task Force. Aspirin for the prevention of cardiovascular disease: US Preventive Services Task Force recommendation statement. Ann Intern Med 2009; 150(6):396–404. pmid:19293072
- Botto F, Alonso-Coello P, Chan MT, et al. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30-day outcomes. Anesthesiology 2014; 120(3):564–578. doi:10.1097/ALN.0000000000000113
- George R, Menon VP, Edathadathil F, et al. Myocardial injury after noncardiac surgery—incidence and predictors from a prospective observational cohort study at an Indian tertiary care centre. Medicine (Baltimore) 2018; 97(19):e0402. doi:10.1097/MD.0000000000010402
- Devereaux PJ, Mrkobrada M, Sessler DI, et al; POISE-2 Investigators. Aspirin in patients undergoing noncardiac surgery. N Engl J Med 2014; 370(16):1494–1503. doi:10.1056/NEJMoa1401105
Aspirin (acetylsalicylic acid) and its progenitors are valuable medications with a history spanning at least 4 millennia. An enormous number of patients take aspirin for a variety of reasons, and managing their therapy around the time of surgery can be challenging, as Drs. Prabhakaran and Whinney discuss in this issue.1 Even after 4,000 years, we are still learning about these remarkable drugs.
LEARNING WHAT SALICYLATES ARE
LEARNING (AND IGNORING) WHAT ASPIRIN CAN DO
In the 1940s, a general practitioner in California named Lawrence Craven recognized that many of his post-tonsillectomy patients had to be hospitalized for bleeding after he started recommending they use aspirin-containing chewing gum for pain relief.4 Under the then-debated hypothesis that myocardial infarction (MI) involves thrombosis, he recommended that adult men should take aspirin daily. He believed that women had lower rates of MI because they were more likely to take aspirin, something that men did not view as a “masculine” thing to do.
In a series of letters in journals such as the Mississippi Valley Medical Journal,5 Craven reported his observations of very low rates of MI and no strokes in aspirin users. Given the nonrigorous nature of his research and the obscure journals in which he published, his findings languished for many years. Ironically, he died of an MI in 1957.
LEARNING HOW ASPIRIN WORKS (AND A FEW OTHER THINGS)
The history of aspirin research illustrates how the fields of hemostasis and inflammation are now linked.
In the late 1960s, Weiss et al6 reported that aspirin rapidly and irreversibly inhibits platelet aggregation. In parallel, using biological assays in work that eventually led to the Nobel Prize, Vane7 discovered that inflammation involves the de novo synthesis of prostaglandins and that aspirin directly inhibits this synthesis. Further work connecting these lines of investigation led us to understand that platelet aggregation is enhanced by the prostaglandin derivative thromboxane A2, produced by cyclooxygenase-1, and that aspirin irreversibly inhibits this enzyme by acetylation.
LEARNING WHEN TO USE ASPIRIN
After decades of research ranging from the Physicians’ Health Study to well-named trials such as ARRIVE, ASCEND, and ASPREE, we now know that taking daily low doses of aspirin for primary prevention can reduce the risk of cardiovascular events and may reduce the risk of colorectal cancer—but at the cost of an increased risk of bleeding.8
Which patients will gain the most benefit and incur the least risk is still debated. What is certain, however, is that aspirin has an important role in acute coronary syndromes, secondary prevention of MI and stroke, and prevention of thrombosis after coronary stent placement. In the perioperative setting, we are learning that aspirin may benefit patients with myocardial injury after noncardiac surgery, a recently described clinical entity associated with surprisingly high mortality rates.9,10
LEARNING WHEN NOT TO USE ASPIRIN
The perioperative period is a dangerous time—surgical stress, hypercoagulability, inflammation, pain, and hemodynamic changes predispose to plaque rupture and supply-demand imbalance. It is therefore logical to hope aspirin would provide protection for at-risk patients in this context.
Unfortunately, results from the second Perioperative Ischemic Evaluation trial have dampened enthusiasm.11 Aspirin has now joined clonidine and beta-blockers on the list of interventions that probably do not reduce perioperative cardiovascular mortality rates. Other than protecting against stent thrombosis, aspirin’s main perioperative effect is to increase bleeding. Consequently, some surgical procedures mandate withdrawal of aspirin.
WHAT WE STILL NEED TO LEARN
Over the years, we have learned the broad outlines of using aspirin to prevent and treat cardiovascular disease, to relieve pain and inflammation (its original purpose), and to prevent stent thrombosis.
However, many details remain to be filled in. We need to better define groups who should and should not take aspirin for primary prevention. We also need to understand aspirin’s role in cancer chemoprevention, to find better ways to mitigate its undesirable effects, and to study its role in treating myocardial injury after noncardiac surgery.
Finally, we need to determine which (if any) patients without coronary stents will benefit from continuing their aspirin perioperatively or even initiating aspirin therapy preoperatively.
Will humanity still be using salicylates 4,000 years from now? Probably not. But what we have learned and will continue to learn from this remarkable group of medications will certainly inform new and better therapies in the years to come.
Aspirin (acetylsalicylic acid) and its progenitors are valuable medications with a history spanning at least 4 millennia. An enormous number of patients take aspirin for a variety of reasons, and managing their therapy around the time of surgery can be challenging, as Drs. Prabhakaran and Whinney discuss in this issue.1 Even after 4,000 years, we are still learning about these remarkable drugs.
LEARNING WHAT SALICYLATES ARE
LEARNING (AND IGNORING) WHAT ASPIRIN CAN DO
In the 1940s, a general practitioner in California named Lawrence Craven recognized that many of his post-tonsillectomy patients had to be hospitalized for bleeding after he started recommending they use aspirin-containing chewing gum for pain relief.4 Under the then-debated hypothesis that myocardial infarction (MI) involves thrombosis, he recommended that adult men should take aspirin daily. He believed that women had lower rates of MI because they were more likely to take aspirin, something that men did not view as a “masculine” thing to do.
In a series of letters in journals such as the Mississippi Valley Medical Journal,5 Craven reported his observations of very low rates of MI and no strokes in aspirin users. Given the nonrigorous nature of his research and the obscure journals in which he published, his findings languished for many years. Ironically, he died of an MI in 1957.
LEARNING HOW ASPIRIN WORKS (AND A FEW OTHER THINGS)
The history of aspirin research illustrates how the fields of hemostasis and inflammation are now linked.
In the late 1960s, Weiss et al6 reported that aspirin rapidly and irreversibly inhibits platelet aggregation. In parallel, using biological assays in work that eventually led to the Nobel Prize, Vane7 discovered that inflammation involves the de novo synthesis of prostaglandins and that aspirin directly inhibits this synthesis. Further work connecting these lines of investigation led us to understand that platelet aggregation is enhanced by the prostaglandin derivative thromboxane A2, produced by cyclooxygenase-1, and that aspirin irreversibly inhibits this enzyme by acetylation.
LEARNING WHEN TO USE ASPIRIN
After decades of research ranging from the Physicians’ Health Study to well-named trials such as ARRIVE, ASCEND, and ASPREE, we now know that taking daily low doses of aspirin for primary prevention can reduce the risk of cardiovascular events and may reduce the risk of colorectal cancer—but at the cost of an increased risk of bleeding.8
Which patients will gain the most benefit and incur the least risk is still debated. What is certain, however, is that aspirin has an important role in acute coronary syndromes, secondary prevention of MI and stroke, and prevention of thrombosis after coronary stent placement. In the perioperative setting, we are learning that aspirin may benefit patients with myocardial injury after noncardiac surgery, a recently described clinical entity associated with surprisingly high mortality rates.9,10
LEARNING WHEN NOT TO USE ASPIRIN
The perioperative period is a dangerous time—surgical stress, hypercoagulability, inflammation, pain, and hemodynamic changes predispose to plaque rupture and supply-demand imbalance. It is therefore logical to hope aspirin would provide protection for at-risk patients in this context.
Unfortunately, results from the second Perioperative Ischemic Evaluation trial have dampened enthusiasm.11 Aspirin has now joined clonidine and beta-blockers on the list of interventions that probably do not reduce perioperative cardiovascular mortality rates. Other than protecting against stent thrombosis, aspirin’s main perioperative effect is to increase bleeding. Consequently, some surgical procedures mandate withdrawal of aspirin.
WHAT WE STILL NEED TO LEARN
Over the years, we have learned the broad outlines of using aspirin to prevent and treat cardiovascular disease, to relieve pain and inflammation (its original purpose), and to prevent stent thrombosis.
However, many details remain to be filled in. We need to better define groups who should and should not take aspirin for primary prevention. We also need to understand aspirin’s role in cancer chemoprevention, to find better ways to mitigate its undesirable effects, and to study its role in treating myocardial injury after noncardiac surgery.
Finally, we need to determine which (if any) patients without coronary stents will benefit from continuing their aspirin perioperatively or even initiating aspirin therapy preoperatively.
Will humanity still be using salicylates 4,000 years from now? Probably not. But what we have learned and will continue to learn from this remarkable group of medications will certainly inform new and better therapies in the years to come.
- Prabhakaran A, Whinney C. Should we stop aspirin before noncardiac surgery? Cleve Clin J Med 2019; 86(8):518–521. doi:10.3949/ccjm.86a.19036
- Jeffreys D. Aspirin: The Remarkable Story of a Wonder Drug. New York: Bloomsbury; 2008.
- Mann CC, Plummer ML. The Aspirin Wars: Money, Medicine, and 100 Years of Rampant Competition. New York: Alfred A. Knopf; 1991.
- Miner J, Hoffhines A. The discovery of aspirin's antithrombotic effects. Tex Heart Inst J 2007; 34(2):179–186. pmid:17622365
- Craven LL. Prevention of coronary and cerebral thrombosis. Miss Valley Med J 1956; 78(5):213–215. pmid:13358612
- Weiss HJ, Aledort LM, Kochwa S. The effect of salicylates on the hemostatic properties of platelets in man. J Clin Invest 1968; 47(9):2169–2180. doi:10.1172/JCI105903
- Vane JR. Inhibition of prostaglandin synthesis as a mechanism of action for aspirin-like drugs. Nat New Biol 1971; 231(25):232–235. pmid:5284360
- US Preventive Services Task Force. Aspirin for the prevention of cardiovascular disease: US Preventive Services Task Force recommendation statement. Ann Intern Med 2009; 150(6):396–404. pmid:19293072
- Botto F, Alonso-Coello P, Chan MT, et al. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30-day outcomes. Anesthesiology 2014; 120(3):564–578. doi:10.1097/ALN.0000000000000113
- George R, Menon VP, Edathadathil F, et al. Myocardial injury after noncardiac surgery—incidence and predictors from a prospective observational cohort study at an Indian tertiary care centre. Medicine (Baltimore) 2018; 97(19):e0402. doi:10.1097/MD.0000000000010402
- Devereaux PJ, Mrkobrada M, Sessler DI, et al; POISE-2 Investigators. Aspirin in patients undergoing noncardiac surgery. N Engl J Med 2014; 370(16):1494–1503. doi:10.1056/NEJMoa1401105
- Prabhakaran A, Whinney C. Should we stop aspirin before noncardiac surgery? Cleve Clin J Med 2019; 86(8):518–521. doi:10.3949/ccjm.86a.19036
- Jeffreys D. Aspirin: The Remarkable Story of a Wonder Drug. New York: Bloomsbury; 2008.
- Mann CC, Plummer ML. The Aspirin Wars: Money, Medicine, and 100 Years of Rampant Competition. New York: Alfred A. Knopf; 1991.
- Miner J, Hoffhines A. The discovery of aspirin's antithrombotic effects. Tex Heart Inst J 2007; 34(2):179–186. pmid:17622365
- Craven LL. Prevention of coronary and cerebral thrombosis. Miss Valley Med J 1956; 78(5):213–215. pmid:13358612
- Weiss HJ, Aledort LM, Kochwa S. The effect of salicylates on the hemostatic properties of platelets in man. J Clin Invest 1968; 47(9):2169–2180. doi:10.1172/JCI105903
- Vane JR. Inhibition of prostaglandin synthesis as a mechanism of action for aspirin-like drugs. Nat New Biol 1971; 231(25):232–235. pmid:5284360
- US Preventive Services Task Force. Aspirin for the prevention of cardiovascular disease: US Preventive Services Task Force recommendation statement. Ann Intern Med 2009; 150(6):396–404. pmid:19293072
- Botto F, Alonso-Coello P, Chan MT, et al. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30-day outcomes. Anesthesiology 2014; 120(3):564–578. doi:10.1097/ALN.0000000000000113
- George R, Menon VP, Edathadathil F, et al. Myocardial injury after noncardiac surgery—incidence and predictors from a prospective observational cohort study at an Indian tertiary care centre. Medicine (Baltimore) 2018; 97(19):e0402. doi:10.1097/MD.0000000000010402
- Devereaux PJ, Mrkobrada M, Sessler DI, et al; POISE-2 Investigators. Aspirin in patients undergoing noncardiac surgery. N Engl J Med 2014; 370(16):1494–1503. doi:10.1056/NEJMoa1401105
Running in place: The uncertain future of primary care internal medicine
“My dear, here we must run as fast as we can, just to stay in place. And if you wish to go anywhere you must run twice as fast as that.”
—Lewis Carroll
Alice’s Adventures in Wonderland
The future of primary care internal medicine physicians is uncertain. According to a 2018 survey of internal medicine residents conducted by the American College of Physicians, only 11% were considering primary care as a career path.1 In 1998, that number was 54%.2
Possible reasons are many:
- Lower pay compared with subspecialists in a pay system that rewards procedural competency over mental effort
- Work schedules less flexible than in other specialties (eg, hospital medicine practitioners may have 1 week on and 1 week off)
- Perceived lack of respect
- Increasing regulatory and record-keeping burdens
- Tyranny of 15- to 20-minute appointments (irrespective of patient complexity)
- Scope-of-practice concerns as other providers seek primary care equivalency status (eg, pharmacists, walk-in clinics, advanced practice providers, telemedicine providers).
The result is a projected shortage of primary care physicians of 21,100 to 55,200 by 2030, according to a 2019 report by the Association of American Medical Colleges,3 despite an expected growth in advanced practice providers in primary care such as nurse practitioners and physician assistants.
A practical result of this shortage will be even less patient access to primary care physicians. A 2017 national survey found that the average wait time for a new patient-physician appointment has already increased by 30% since 2014.4 The wait time to see a primary care physician varied between 29 days in major metropolitan areas (up 50% from 2014) and 56 days in mid-sized markets. The longest waits by market size were 109 days for new patients in Boston, MA, and 122 days for those living in Albany, NY.
What are the implications?
In this issue, Pravia and Diaz5 make the case that primary care providers must adapt their practices to meet the needs of younger generations by increasing their use of technology. We agree that telemedicine, wearable medical devices, and enhanced patient communication through the electronic medical record (EMR) are here to stay and should be embraced.
However, we have seen the challenges of adopting technologic advances without first making an adjustment to the volume-driven patient schedule. For such advances to be successfully integrated into a clinical practice, it is vital to be cognizant of the current challenges encountered in primary care internal medicine.
UNIQUE BURDENS ON PRIMARY CARE
In addition to the stress of addressing multiple complex medical problems within a short time, evaluating multiple medical problems often leads to increases in results to review, forms to complete, and calls to patients. Even treatment plans initiated by specialists are often deferred to primary care providers for dosing adjustments, follow-up laboratory testing, and monitoring.
Moreover, patients often seek a second opinion from their primary care provider regarding care provided by subspecialists, as they consider their primary care provider to be the doctor who knows them best. And though it can be personally gratifying to be considered a trusted partner in the patient’s care, these requests often result in additional phone calls to the office or another thing to address within a complex visit.
A large in-box can be daunting in the setting of increased EMR demands. Whether you have difficulty putting in basic orders or are an advanced user, each upgrade can make you feel like you’re using the EMR for the first time. This is a problem for all specialties, but in primary care, one is addressing a large spectrum of concerns, so there is less opportunity to use standardized templates that can help buffer the problem.
A study of primary care providers found that nearly 75% of each patient visit was spent on activities other than face-to-face patient care, including working with the EMR.6 Similarly, a study using in-office observations and after-hours diaries found that physicians from various specialties spend 2 hours on administrative duties for each hour that they see patients in the office, followed by an additional 1 to 2 hours of work after clinic, mostly devoted to the EMR.7
Clinicians using scribes to help with record-keeping duties often need to see more patients to compensate for the cost. Adding 2 to 3 patients to a daily schedule usually means adding more medical conditions to manage, with an exponential increase in testing and in-box burden.
The additional burden this coverage creates in primary care is often not well understood by those in other specialties.
GUIDELINE CONFUSION AND THE DEATH OF THE ANNUAL PREVENTIVE VISIT
Another burden unique to primary care providers is the nearly continuous publication of guidelines that are often confusing and discrepant. Because many high-impact guidelines represent expert consensus or evidence from specialist perspectives, they may not fit the primary care model or values: eg, primary care guidelines tend to place more emphasis on harms associated with screening.
Screening for breast and prostate cancers is a prime example. Both require shared decision-making based on patient preferences and values.8,9 Detailed discussions about preventive screening can be difficult to achieve within the context of a medical visit owing to time limitations, especially if other medical conditions being addressed are equally controversial, such as blood pressure target goals. A decade ago, one could easily declare, “It’s time for your annual PSA test,” and move on to other concerns. Given the changing evidence, an informed patient is now likely to question whether this test should be done, how often it should be done, and whether a prostate examination should also be included.
The push toward population health has raised questions about the value of a preventive wellness visit, especially in healthy patients.10,11 Arguments against the annual physical do not account for the value of these visits, which provide the opportunity to have time-intensive shared decision-making conversations and build a trusting patient-physician relationship. The value of the annual physical is not simply to do examinations for which there is limited evidence; it is a time for us to get to know our patients, to update their preventive needs (and the medical record), and to discuss which screening tests they may safely forgo to avoid unnecessary false-positives, leading to excess cost and harm.
This trusting relationship, developed over years, is likely to save both the patient and the healthcare system significant money. For example, it enables us to reassure patients that an antibiotic is not needed for their upper respiratory infection, to encourage them to try a dietary change before proceeding with computed tomography for their abdominal pain, or to discourage them from inappropriately aggressive screening tests that may result in overtesting or overdiagnosis.
Unfortunately, it is nearly impossible to accurately quantify these substantial benefits to the healthcare system and patients. And there is a real potential that recommendations against the annual physical may eventually affect future reimbursement, which would add to the time pressures of an already overburdened primary care workforce.
DO PRIMARY CARE PHYSICIANS MAKE A DIFFERENCE?
As medicine and technology evolve, patients have more ways to access care. However, the Internet also provides patients with access to more conflicting information than ever before, making it even more important for clinicians, as trusted partners in their patients’ health, to help patients navigate the waters of information and misinformation.
Studies have shown that having a primary care physician is associated with a longer life span, higher likelihood of reporting good health, and similar clinical outcomes for common conditions such as diabetes and hypertension when compared with subspecialty care, but at a lower cost and with less resource utilization.12,13 In a study published in 2019, Basu et al12 found that for every 10 additional primary care physicians per 100,000 population, there was an associated 51.5-day increase in life expectancy, compared with a 19.2-day increase for specialists. Cost savings also occur. Similarly, a review by the American College of Physicians13 found that each additional primary care physician per 10,000 population in a US state increased the state’s health quality ranking by more than 10 spots and reduced their overall spending per Medicare beneficiary. In contrast, an increase of 1 specialist per 10,000 population was linked to a 9-spot decrease in health-quality ranking and an increase in spending.
WHY CHOOSE PRIMARY CARE?
As medical students, we fell in love with internal medicine because of the complexity and intellectual challenges of working through a diagnostic dilemma. There is a certain excitement in not knowing what type of patients will show up that day.
Primary care’s focus on continuity and developing long-standing relationships with patients and their families is largely unmatched in the subspecialty field. It is satisfying to have a general knowledge of the human body, and the central vantage point with which to weigh different subspecialty recommendations. We feel such sentiments are common to those interested in primary care, but sadly, we believe these are not enough to sustain the future of primary care internal medicine.
IS THE FUTURE BRIGHT OR BLEAK?
Primary care internists must resist the call to “run twice as fast.” Instead, we need to look for ways where our unique skill sets can benefit the health of our nation while attracting students to internal medicine primary care. The following are potential areas for moving forward.
The aging of America
The US Census Bureau projects that by the year 2035, older adults will outnumber children for the first time in US history, and by the year 2060, nearly 25% of the US population will be 65 or older.14 The rise of the geriatric patient and the need for comprehensive care will create a continued demand for primary care internists. There certainly aren’t enough geriatricians to meet this need, and primary care internists are well trained to fill this gap.
The rise of the team approach
As we are learning, complex disease management benefits from a team approach. The rise of new models of care delivery such as accountable care organizations and patient-centered medical homes echo this reality. The day of a single provider “doing it all” is fading.
The focus on population health in these models has given rise to multidisciplinary teams—including physicians, nurses, advanced practice providers, social workers, and pharmacists—whose function is to help manage and improve the physical, mental, and social care of patients, often in a capitated payment system. The primary care internist can play a key role in leading these teams, and such partnerships may help lessen reliance on the current primary care hustle of 15- to 20-minute visits. In such models, it is possible that the internist will need to see each patient only once or twice a year, in a longer appointment slot, instead of 4 to 6 times per year in rushed visits. The hope is that this will encourage the relationship-building that is so important in primary care and reduce the time and volume scheduling burdens seen in the current fee-for-service system.
Technology and advanced diagnostics
The joy of digging into a diagnostic dilemma has been a hallmark of internal medicine. The rise of technology should enable primary care internists to increase their diagnostic capabilities in the office without an overreliance on subspecialists.
Examples of technology that may benefit primary care are artificial intelligence with real-time diagnostic support, precision medicine, and office-based point-of-care ultrasonography.15–17 By increasing the diagnostic power of an office-based visit, we hope that the prestige factor of primary care medicine will increase as internists incorporate such advances into their clinics—not to mention the joy of making an appropriate diagnosis in real time.
Reimbursement and the value of time
Time is a valuable commodity for primary care internists. Unfortunately, there seems to be less of it in today’s practice. Gone are the days when we could go to the doctors’ dining room to decompress, chat, and break bread with colleagues. Today, we are more likely to be found in front of our computers over lunch answering patients’ messages. Time is also a key reason that physicians express frustration with issues such as prior authorizations for medications. These tasks routinely take time away from what is valuable—the care of our patients.
The rise of innovative practice models such as direct primary care and concierge medicine can be seen as a market response to the frustrations of increasing regulatory complexity, billing hassles, and lack of time. However, some have cautioned that such models have the potential to worsen healthcare disparities because patients pay out of pocket for some or all of their care in these practices.18
Interestingly, the Centers for Medicare and Medicaid Services recently unveiled new voluntary payment models for primary care that go into effect in 2020. These models may allow for increased practice innovation. The 2 proposed options are Primary Care First (designed for small primary care practices) and Direct Contracting (aimed at larger practices). These models are designed to provide a predictable up-front payment stream (a set payment per beneficiary) to the primary care practice. Hopefully, these options will move primary care away from the current fee-for-service, multiple-patient-visit model.
The primary care model allows practices to “assume financial risk in exchange for reduced administrative burden and performance-based payments” and “introduces new, higher payments for practices that care for complex, chronically ill patients.”19 It is too soon to know the effectiveness of such models, but any reimbursement innovation should be met with cautious optimism.
In addition, the Centers for Medicare and Medicaid Services has recently moved to reduce requirements for documentation. For example, one can fully bill with a medical student note without needing to repeat visit notes.20,21 Such changes should decrease the time needed to document the EMR and free up more time to care for patients.
A CALL TO ACTION
The national shortage of primary care providers points to the fact that this is a difficult career, and one that remains undervalued. One step we need to take is to protect the time we have with patients. It is doubtful that seeing a greater number of sicker patients each day, in addition to the responsibilities of proactive population-based care (“panel management”), will attract younger generations of physicians to fill this void, no matter what technology we adopt.
Keys to facilitating this change include understanding the value of primary care physicians, decreasing the burden of documentation, facilitating team-care options to support them, and expanding diagnostic tools available to use within primary care. If we don’t demand change, who will be there to take care of us when we grow old?
- American College of Physicians. Internal Medicine In-Training Examination® 2018 Residents Survey: Report of Findings, unpublished data. [Summary and analysis of residents' answers to questions about training] Philadelphia: American College of Physicians; 2019.
- American College of Physicians. Internal Medicine In-Training Examination® 1998 Residents Survey: Report of Findings, unpublished data. [Summary and analysis of residents' answers to questions about training] Philadelphia: American College of Physicians; 1999.
- Association of American Medical Colleges. New findings confirm predictions on physician shortage. news.aamc.org/press-releases/article/2019-workforce-projections-update. Accessed July 3, 2019.
- Merritt Hawkins Associates. 2017 Survey of physician appointment wait times and Medicare and Medicaid acceptance rates. www.merritthawkins.com/news-and-insights/thought-leadership/survey/survey-of-physician-appointment-wait-times. Accessed July 3, 2019.
- Pravia CI, Diaz YM. Primary care: practice meets technology. Cleve Clin J Med 2019; 86(8):525–528. doi:10.3949/ccjm.86a.18122
- Young RA, Burge SK, Kumar KA, Wilson JM, Ortiz DF. A time-motion study of primary care physicians’ work in the electronic health record era. Fam Med 2018; 50(2):91–99. doi:10.22454/FamMed.2018.184803
- Sinsky C, Colligan L, Li L, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med 2016; 165(11):753–760. doi:10.7326/M16-0961
- O'Callaghan ME, Kichenadasse G, Vatandoust S, Moretti K. Informed decision making about prostate cancer screening. Ann Intern Med 2015; 162(6):457. doi:10.7326/L15-5063
- Batur P, Walsh J. Annual mammography starting at age 40: More talk, less action? Cleve Clin J Med 2015; 82(5):272–275. doi:10.3949/ccjm.82a.14156
- Mehrotra A, Prochazka A. Improving value in health care—against the annual physical. N Engl J Med 2015; 373(16):1485–1487. doi:10.1056/NEJMp1507485
- Krogsboll LT, Jorgensen KJ, Gotzsche PC. General health checks in adults for reducing morbidity and mortality from disease. Cochrane Database Syst Rev 2019; 1:CD009009. doi:10.1002/14651858.CD009009.pub3
- Basu S, Berkowitz SA, Phillips RL, Bitton A, Landon BE, Phillips RS. Association of primary care physician supply with population mortality in the United States, 2005–2015. JAMA Intern Med 2019; 179(4):506–514. doi:10.1001/jamainternmed.2018.7624
- American College of Physicians. How is a shortage of primary care physicians affecting the quality and cost of medical care? www.acponline.org/acp_policy/policies/primary_care_shortage_affecting_hc_2008.pdf. Accessed July 3, 2019.
- Vespa, J, Armstrong D, Medina L. Demographic Turning Points for the United States: Population Projections for 2020 to 2060. www.census.gov/content/dam/Census/library/publications/2018/demo/P25_1144.pdf. Accessed July 3, 2019.
- Lin S, Mahoney M, Sinsky C. Ten ways artificial intelligence will transform primary care. J Gen Intern Med 2019. doi:10.1007/s11606-019-05035-1. Epub ahead of print.
- Feero WG. Is “precision medicine” ready to use in primary care practice? Yes: It offers patients more individualized ways of managing their health. Am Fam Physician 2017; 96(12):767–768. pmid:29431374
- Bornemann P, Jayasekera N, Bergman K, Ramos M, Gerhart J. Point-of-care ultrasound: coming soon to primary care? J Fam Pract 2018; 67(2):70–80. pmid:29400896
- Doherty R; Medical Practice and Quality Committee of the American College of Physicians. Assessing the patient care implications of “concierge” and other direct patient contracting practices: a policy position paper from the American College of Physicians. Ann Intern Med 2015; 163(12):949–952. doi:10.7326/M15-0366
- Centers for Medicare and Medicaid Services. Primary care first model options. innovation.cms.gov/initiatives/primary-care-first-model-options. Accessed July 29, 2019.
- Centers for Medicare and Medicaid Services. Final Policy, Payment, and Quality Provisions Changes to the Medicare Physician Fee Schedule for Calendar Year 2019. www.cms.gov/newsroom/fact-sheets/final-policy-payment-and-quality-provisions-changes-medicare-physician-fee-schedule-calendar-year. Accessed July 3, 2019.
- Centers for Medicare and Medicaid Services. E/M Service Documentation Provided By Students. www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNMattersArticles/Downloads/MM10412.pdf. Accessed July 3, 2019.
“My dear, here we must run as fast as we can, just to stay in place. And if you wish to go anywhere you must run twice as fast as that.”
—Lewis Carroll
Alice’s Adventures in Wonderland
The future of primary care internal medicine physicians is uncertain. According to a 2018 survey of internal medicine residents conducted by the American College of Physicians, only 11% were considering primary care as a career path.1 In 1998, that number was 54%.2
Possible reasons are many:
- Lower pay compared with subspecialists in a pay system that rewards procedural competency over mental effort
- Work schedules less flexible than in other specialties (eg, hospital medicine practitioners may have 1 week on and 1 week off)
- Perceived lack of respect
- Increasing regulatory and record-keeping burdens
- Tyranny of 15- to 20-minute appointments (irrespective of patient complexity)
- Scope-of-practice concerns as other providers seek primary care equivalency status (eg, pharmacists, walk-in clinics, advanced practice providers, telemedicine providers).
The result is a projected shortage of primary care physicians of 21,100 to 55,200 by 2030, according to a 2019 report by the Association of American Medical Colleges,3 despite an expected growth in advanced practice providers in primary care such as nurse practitioners and physician assistants.
A practical result of this shortage will be even less patient access to primary care physicians. A 2017 national survey found that the average wait time for a new patient-physician appointment has already increased by 30% since 2014.4 The wait time to see a primary care physician varied between 29 days in major metropolitan areas (up 50% from 2014) and 56 days in mid-sized markets. The longest waits by market size were 109 days for new patients in Boston, MA, and 122 days for those living in Albany, NY.
What are the implications?
In this issue, Pravia and Diaz5 make the case that primary care providers must adapt their practices to meet the needs of younger generations by increasing their use of technology. We agree that telemedicine, wearable medical devices, and enhanced patient communication through the electronic medical record (EMR) are here to stay and should be embraced.
However, we have seen the challenges of adopting technologic advances without first making an adjustment to the volume-driven patient schedule. For such advances to be successfully integrated into a clinical practice, it is vital to be cognizant of the current challenges encountered in primary care internal medicine.
UNIQUE BURDENS ON PRIMARY CARE
In addition to the stress of addressing multiple complex medical problems within a short time, evaluating multiple medical problems often leads to increases in results to review, forms to complete, and calls to patients. Even treatment plans initiated by specialists are often deferred to primary care providers for dosing adjustments, follow-up laboratory testing, and monitoring.
Moreover, patients often seek a second opinion from their primary care provider regarding care provided by subspecialists, as they consider their primary care provider to be the doctor who knows them best. And though it can be personally gratifying to be considered a trusted partner in the patient’s care, these requests often result in additional phone calls to the office or another thing to address within a complex visit.
A large in-box can be daunting in the setting of increased EMR demands. Whether you have difficulty putting in basic orders or are an advanced user, each upgrade can make you feel like you’re using the EMR for the first time. This is a problem for all specialties, but in primary care, one is addressing a large spectrum of concerns, so there is less opportunity to use standardized templates that can help buffer the problem.
A study of primary care providers found that nearly 75% of each patient visit was spent on activities other than face-to-face patient care, including working with the EMR.6 Similarly, a study using in-office observations and after-hours diaries found that physicians from various specialties spend 2 hours on administrative duties for each hour that they see patients in the office, followed by an additional 1 to 2 hours of work after clinic, mostly devoted to the EMR.7
Clinicians using scribes to help with record-keeping duties often need to see more patients to compensate for the cost. Adding 2 to 3 patients to a daily schedule usually means adding more medical conditions to manage, with an exponential increase in testing and in-box burden.
The additional burden this coverage creates in primary care is often not well understood by those in other specialties.
GUIDELINE CONFUSION AND THE DEATH OF THE ANNUAL PREVENTIVE VISIT
Another burden unique to primary care providers is the nearly continuous publication of guidelines that are often confusing and discrepant. Because many high-impact guidelines represent expert consensus or evidence from specialist perspectives, they may not fit the primary care model or values: eg, primary care guidelines tend to place more emphasis on harms associated with screening.
Screening for breast and prostate cancers is a prime example. Both require shared decision-making based on patient preferences and values.8,9 Detailed discussions about preventive screening can be difficult to achieve within the context of a medical visit owing to time limitations, especially if other medical conditions being addressed are equally controversial, such as blood pressure target goals. A decade ago, one could easily declare, “It’s time for your annual PSA test,” and move on to other concerns. Given the changing evidence, an informed patient is now likely to question whether this test should be done, how often it should be done, and whether a prostate examination should also be included.
The push toward population health has raised questions about the value of a preventive wellness visit, especially in healthy patients.10,11 Arguments against the annual physical do not account for the value of these visits, which provide the opportunity to have time-intensive shared decision-making conversations and build a trusting patient-physician relationship. The value of the annual physical is not simply to do examinations for which there is limited evidence; it is a time for us to get to know our patients, to update their preventive needs (and the medical record), and to discuss which screening tests they may safely forgo to avoid unnecessary false-positives, leading to excess cost and harm.
This trusting relationship, developed over years, is likely to save both the patient and the healthcare system significant money. For example, it enables us to reassure patients that an antibiotic is not needed for their upper respiratory infection, to encourage them to try a dietary change before proceeding with computed tomography for their abdominal pain, or to discourage them from inappropriately aggressive screening tests that may result in overtesting or overdiagnosis.
Unfortunately, it is nearly impossible to accurately quantify these substantial benefits to the healthcare system and patients. And there is a real potential that recommendations against the annual physical may eventually affect future reimbursement, which would add to the time pressures of an already overburdened primary care workforce.
DO PRIMARY CARE PHYSICIANS MAKE A DIFFERENCE?
As medicine and technology evolve, patients have more ways to access care. However, the Internet also provides patients with access to more conflicting information than ever before, making it even more important for clinicians, as trusted partners in their patients’ health, to help patients navigate the waters of information and misinformation.
Studies have shown that having a primary care physician is associated with a longer life span, higher likelihood of reporting good health, and similar clinical outcomes for common conditions such as diabetes and hypertension when compared with subspecialty care, but at a lower cost and with less resource utilization.12,13 In a study published in 2019, Basu et al12 found that for every 10 additional primary care physicians per 100,000 population, there was an associated 51.5-day increase in life expectancy, compared with a 19.2-day increase for specialists. Cost savings also occur. Similarly, a review by the American College of Physicians13 found that each additional primary care physician per 10,000 population in a US state increased the state’s health quality ranking by more than 10 spots and reduced their overall spending per Medicare beneficiary. In contrast, an increase of 1 specialist per 10,000 population was linked to a 9-spot decrease in health-quality ranking and an increase in spending.
WHY CHOOSE PRIMARY CARE?
As medical students, we fell in love with internal medicine because of the complexity and intellectual challenges of working through a diagnostic dilemma. There is a certain excitement in not knowing what type of patients will show up that day.
Primary care’s focus on continuity and developing long-standing relationships with patients and their families is largely unmatched in the subspecialty field. It is satisfying to have a general knowledge of the human body, and the central vantage point with which to weigh different subspecialty recommendations. We feel such sentiments are common to those interested in primary care, but sadly, we believe these are not enough to sustain the future of primary care internal medicine.
IS THE FUTURE BRIGHT OR BLEAK?
Primary care internists must resist the call to “run twice as fast.” Instead, we need to look for ways where our unique skill sets can benefit the health of our nation while attracting students to internal medicine primary care. The following are potential areas for moving forward.
The aging of America
The US Census Bureau projects that by the year 2035, older adults will outnumber children for the first time in US history, and by the year 2060, nearly 25% of the US population will be 65 or older.14 The rise of the geriatric patient and the need for comprehensive care will create a continued demand for primary care internists. There certainly aren’t enough geriatricians to meet this need, and primary care internists are well trained to fill this gap.
The rise of the team approach
As we are learning, complex disease management benefits from a team approach. The rise of new models of care delivery such as accountable care organizations and patient-centered medical homes echo this reality. The day of a single provider “doing it all” is fading.
The focus on population health in these models has given rise to multidisciplinary teams—including physicians, nurses, advanced practice providers, social workers, and pharmacists—whose function is to help manage and improve the physical, mental, and social care of patients, often in a capitated payment system. The primary care internist can play a key role in leading these teams, and such partnerships may help lessen reliance on the current primary care hustle of 15- to 20-minute visits. In such models, it is possible that the internist will need to see each patient only once or twice a year, in a longer appointment slot, instead of 4 to 6 times per year in rushed visits. The hope is that this will encourage the relationship-building that is so important in primary care and reduce the time and volume scheduling burdens seen in the current fee-for-service system.
Technology and advanced diagnostics
The joy of digging into a diagnostic dilemma has been a hallmark of internal medicine. The rise of technology should enable primary care internists to increase their diagnostic capabilities in the office without an overreliance on subspecialists.
Examples of technology that may benefit primary care are artificial intelligence with real-time diagnostic support, precision medicine, and office-based point-of-care ultrasonography.15–17 By increasing the diagnostic power of an office-based visit, we hope that the prestige factor of primary care medicine will increase as internists incorporate such advances into their clinics—not to mention the joy of making an appropriate diagnosis in real time.
Reimbursement and the value of time
Time is a valuable commodity for primary care internists. Unfortunately, there seems to be less of it in today’s practice. Gone are the days when we could go to the doctors’ dining room to decompress, chat, and break bread with colleagues. Today, we are more likely to be found in front of our computers over lunch answering patients’ messages. Time is also a key reason that physicians express frustration with issues such as prior authorizations for medications. These tasks routinely take time away from what is valuable—the care of our patients.
The rise of innovative practice models such as direct primary care and concierge medicine can be seen as a market response to the frustrations of increasing regulatory complexity, billing hassles, and lack of time. However, some have cautioned that such models have the potential to worsen healthcare disparities because patients pay out of pocket for some or all of their care in these practices.18
Interestingly, the Centers for Medicare and Medicaid Services recently unveiled new voluntary payment models for primary care that go into effect in 2020. These models may allow for increased practice innovation. The 2 proposed options are Primary Care First (designed for small primary care practices) and Direct Contracting (aimed at larger practices). These models are designed to provide a predictable up-front payment stream (a set payment per beneficiary) to the primary care practice. Hopefully, these options will move primary care away from the current fee-for-service, multiple-patient-visit model.
The primary care model allows practices to “assume financial risk in exchange for reduced administrative burden and performance-based payments” and “introduces new, higher payments for practices that care for complex, chronically ill patients.”19 It is too soon to know the effectiveness of such models, but any reimbursement innovation should be met with cautious optimism.
In addition, the Centers for Medicare and Medicaid Services has recently moved to reduce requirements for documentation. For example, one can fully bill with a medical student note without needing to repeat visit notes.20,21 Such changes should decrease the time needed to document the EMR and free up more time to care for patients.
A CALL TO ACTION
The national shortage of primary care providers points to the fact that this is a difficult career, and one that remains undervalued. One step we need to take is to protect the time we have with patients. It is doubtful that seeing a greater number of sicker patients each day, in addition to the responsibilities of proactive population-based care (“panel management”), will attract younger generations of physicians to fill this void, no matter what technology we adopt.
Keys to facilitating this change include understanding the value of primary care physicians, decreasing the burden of documentation, facilitating team-care options to support them, and expanding diagnostic tools available to use within primary care. If we don’t demand change, who will be there to take care of us when we grow old?
“My dear, here we must run as fast as we can, just to stay in place. And if you wish to go anywhere you must run twice as fast as that.”
—Lewis Carroll
Alice’s Adventures in Wonderland
The future of primary care internal medicine physicians is uncertain. According to a 2018 survey of internal medicine residents conducted by the American College of Physicians, only 11% were considering primary care as a career path.1 In 1998, that number was 54%.2
Possible reasons are many:
- Lower pay compared with subspecialists in a pay system that rewards procedural competency over mental effort
- Work schedules less flexible than in other specialties (eg, hospital medicine practitioners may have 1 week on and 1 week off)
- Perceived lack of respect
- Increasing regulatory and record-keeping burdens
- Tyranny of 15- to 20-minute appointments (irrespective of patient complexity)
- Scope-of-practice concerns as other providers seek primary care equivalency status (eg, pharmacists, walk-in clinics, advanced practice providers, telemedicine providers).
The result is a projected shortage of primary care physicians of 21,100 to 55,200 by 2030, according to a 2019 report by the Association of American Medical Colleges,3 despite an expected growth in advanced practice providers in primary care such as nurse practitioners and physician assistants.
A practical result of this shortage will be even less patient access to primary care physicians. A 2017 national survey found that the average wait time for a new patient-physician appointment has already increased by 30% since 2014.4 The wait time to see a primary care physician varied between 29 days in major metropolitan areas (up 50% from 2014) and 56 days in mid-sized markets. The longest waits by market size were 109 days for new patients in Boston, MA, and 122 days for those living in Albany, NY.
What are the implications?
In this issue, Pravia and Diaz5 make the case that primary care providers must adapt their practices to meet the needs of younger generations by increasing their use of technology. We agree that telemedicine, wearable medical devices, and enhanced patient communication through the electronic medical record (EMR) are here to stay and should be embraced.
However, we have seen the challenges of adopting technologic advances without first making an adjustment to the volume-driven patient schedule. For such advances to be successfully integrated into a clinical practice, it is vital to be cognizant of the current challenges encountered in primary care internal medicine.
UNIQUE BURDENS ON PRIMARY CARE
In addition to the stress of addressing multiple complex medical problems within a short time, evaluating multiple medical problems often leads to increases in results to review, forms to complete, and calls to patients. Even treatment plans initiated by specialists are often deferred to primary care providers for dosing adjustments, follow-up laboratory testing, and monitoring.
Moreover, patients often seek a second opinion from their primary care provider regarding care provided by subspecialists, as they consider their primary care provider to be the doctor who knows them best. And though it can be personally gratifying to be considered a trusted partner in the patient’s care, these requests often result in additional phone calls to the office or another thing to address within a complex visit.
A large in-box can be daunting in the setting of increased EMR demands. Whether you have difficulty putting in basic orders or are an advanced user, each upgrade can make you feel like you’re using the EMR for the first time. This is a problem for all specialties, but in primary care, one is addressing a large spectrum of concerns, so there is less opportunity to use standardized templates that can help buffer the problem.
A study of primary care providers found that nearly 75% of each patient visit was spent on activities other than face-to-face patient care, including working with the EMR.6 Similarly, a study using in-office observations and after-hours diaries found that physicians from various specialties spend 2 hours on administrative duties for each hour that they see patients in the office, followed by an additional 1 to 2 hours of work after clinic, mostly devoted to the EMR.7
Clinicians using scribes to help with record-keeping duties often need to see more patients to compensate for the cost. Adding 2 to 3 patients to a daily schedule usually means adding more medical conditions to manage, with an exponential increase in testing and in-box burden.
The additional burden this coverage creates in primary care is often not well understood by those in other specialties.
GUIDELINE CONFUSION AND THE DEATH OF THE ANNUAL PREVENTIVE VISIT
Another burden unique to primary care providers is the nearly continuous publication of guidelines that are often confusing and discrepant. Because many high-impact guidelines represent expert consensus or evidence from specialist perspectives, they may not fit the primary care model or values: eg, primary care guidelines tend to place more emphasis on harms associated with screening.
Screening for breast and prostate cancers is a prime example. Both require shared decision-making based on patient preferences and values.8,9 Detailed discussions about preventive screening can be difficult to achieve within the context of a medical visit owing to time limitations, especially if other medical conditions being addressed are equally controversial, such as blood pressure target goals. A decade ago, one could easily declare, “It’s time for your annual PSA test,” and move on to other concerns. Given the changing evidence, an informed patient is now likely to question whether this test should be done, how often it should be done, and whether a prostate examination should also be included.
The push toward population health has raised questions about the value of a preventive wellness visit, especially in healthy patients.10,11 Arguments against the annual physical do not account for the value of these visits, which provide the opportunity to have time-intensive shared decision-making conversations and build a trusting patient-physician relationship. The value of the annual physical is not simply to do examinations for which there is limited evidence; it is a time for us to get to know our patients, to update their preventive needs (and the medical record), and to discuss which screening tests they may safely forgo to avoid unnecessary false-positives, leading to excess cost and harm.
This trusting relationship, developed over years, is likely to save both the patient and the healthcare system significant money. For example, it enables us to reassure patients that an antibiotic is not needed for their upper respiratory infection, to encourage them to try a dietary change before proceeding with computed tomography for their abdominal pain, or to discourage them from inappropriately aggressive screening tests that may result in overtesting or overdiagnosis.
Unfortunately, it is nearly impossible to accurately quantify these substantial benefits to the healthcare system and patients. And there is a real potential that recommendations against the annual physical may eventually affect future reimbursement, which would add to the time pressures of an already overburdened primary care workforce.
DO PRIMARY CARE PHYSICIANS MAKE A DIFFERENCE?
As medicine and technology evolve, patients have more ways to access care. However, the Internet also provides patients with access to more conflicting information than ever before, making it even more important for clinicians, as trusted partners in their patients’ health, to help patients navigate the waters of information and misinformation.
Studies have shown that having a primary care physician is associated with a longer life span, higher likelihood of reporting good health, and similar clinical outcomes for common conditions such as diabetes and hypertension when compared with subspecialty care, but at a lower cost and with less resource utilization.12,13 In a study published in 2019, Basu et al12 found that for every 10 additional primary care physicians per 100,000 population, there was an associated 51.5-day increase in life expectancy, compared with a 19.2-day increase for specialists. Cost savings also occur. Similarly, a review by the American College of Physicians13 found that each additional primary care physician per 10,000 population in a US state increased the state’s health quality ranking by more than 10 spots and reduced their overall spending per Medicare beneficiary. In contrast, an increase of 1 specialist per 10,000 population was linked to a 9-spot decrease in health-quality ranking and an increase in spending.
WHY CHOOSE PRIMARY CARE?
As medical students, we fell in love with internal medicine because of the complexity and intellectual challenges of working through a diagnostic dilemma. There is a certain excitement in not knowing what type of patients will show up that day.
Primary care’s focus on continuity and developing long-standing relationships with patients and their families is largely unmatched in the subspecialty field. It is satisfying to have a general knowledge of the human body, and the central vantage point with which to weigh different subspecialty recommendations. We feel such sentiments are common to those interested in primary care, but sadly, we believe these are not enough to sustain the future of primary care internal medicine.
IS THE FUTURE BRIGHT OR BLEAK?
Primary care internists must resist the call to “run twice as fast.” Instead, we need to look for ways where our unique skill sets can benefit the health of our nation while attracting students to internal medicine primary care. The following are potential areas for moving forward.
The aging of America
The US Census Bureau projects that by the year 2035, older adults will outnumber children for the first time in US history, and by the year 2060, nearly 25% of the US population will be 65 or older.14 The rise of the geriatric patient and the need for comprehensive care will create a continued demand for primary care internists. There certainly aren’t enough geriatricians to meet this need, and primary care internists are well trained to fill this gap.
The rise of the team approach
As we are learning, complex disease management benefits from a team approach. The rise of new models of care delivery such as accountable care organizations and patient-centered medical homes echo this reality. The day of a single provider “doing it all” is fading.
The focus on population health in these models has given rise to multidisciplinary teams—including physicians, nurses, advanced practice providers, social workers, and pharmacists—whose function is to help manage and improve the physical, mental, and social care of patients, often in a capitated payment system. The primary care internist can play a key role in leading these teams, and such partnerships may help lessen reliance on the current primary care hustle of 15- to 20-minute visits. In such models, it is possible that the internist will need to see each patient only once or twice a year, in a longer appointment slot, instead of 4 to 6 times per year in rushed visits. The hope is that this will encourage the relationship-building that is so important in primary care and reduce the time and volume scheduling burdens seen in the current fee-for-service system.
Technology and advanced diagnostics
The joy of digging into a diagnostic dilemma has been a hallmark of internal medicine. The rise of technology should enable primary care internists to increase their diagnostic capabilities in the office without an overreliance on subspecialists.
Examples of technology that may benefit primary care are artificial intelligence with real-time diagnostic support, precision medicine, and office-based point-of-care ultrasonography.15–17 By increasing the diagnostic power of an office-based visit, we hope that the prestige factor of primary care medicine will increase as internists incorporate such advances into their clinics—not to mention the joy of making an appropriate diagnosis in real time.
Reimbursement and the value of time
Time is a valuable commodity for primary care internists. Unfortunately, there seems to be less of it in today’s practice. Gone are the days when we could go to the doctors’ dining room to decompress, chat, and break bread with colleagues. Today, we are more likely to be found in front of our computers over lunch answering patients’ messages. Time is also a key reason that physicians express frustration with issues such as prior authorizations for medications. These tasks routinely take time away from what is valuable—the care of our patients.
The rise of innovative practice models such as direct primary care and concierge medicine can be seen as a market response to the frustrations of increasing regulatory complexity, billing hassles, and lack of time. However, some have cautioned that such models have the potential to worsen healthcare disparities because patients pay out of pocket for some or all of their care in these practices.18
Interestingly, the Centers for Medicare and Medicaid Services recently unveiled new voluntary payment models for primary care that go into effect in 2020. These models may allow for increased practice innovation. The 2 proposed options are Primary Care First (designed for small primary care practices) and Direct Contracting (aimed at larger practices). These models are designed to provide a predictable up-front payment stream (a set payment per beneficiary) to the primary care practice. Hopefully, these options will move primary care away from the current fee-for-service, multiple-patient-visit model.
The primary care model allows practices to “assume financial risk in exchange for reduced administrative burden and performance-based payments” and “introduces new, higher payments for practices that care for complex, chronically ill patients.”19 It is too soon to know the effectiveness of such models, but any reimbursement innovation should be met with cautious optimism.
In addition, the Centers for Medicare and Medicaid Services has recently moved to reduce requirements for documentation. For example, one can fully bill with a medical student note without needing to repeat visit notes.20,21 Such changes should decrease the time needed to document the EMR and free up more time to care for patients.
A CALL TO ACTION
The national shortage of primary care providers points to the fact that this is a difficult career, and one that remains undervalued. One step we need to take is to protect the time we have with patients. It is doubtful that seeing a greater number of sicker patients each day, in addition to the responsibilities of proactive population-based care (“panel management”), will attract younger generations of physicians to fill this void, no matter what technology we adopt.
Keys to facilitating this change include understanding the value of primary care physicians, decreasing the burden of documentation, facilitating team-care options to support them, and expanding diagnostic tools available to use within primary care. If we don’t demand change, who will be there to take care of us when we grow old?
- American College of Physicians. Internal Medicine In-Training Examination® 2018 Residents Survey: Report of Findings, unpublished data. [Summary and analysis of residents' answers to questions about training] Philadelphia: American College of Physicians; 2019.
- American College of Physicians. Internal Medicine In-Training Examination® 1998 Residents Survey: Report of Findings, unpublished data. [Summary and analysis of residents' answers to questions about training] Philadelphia: American College of Physicians; 1999.
- Association of American Medical Colleges. New findings confirm predictions on physician shortage. news.aamc.org/press-releases/article/2019-workforce-projections-update. Accessed July 3, 2019.
- Merritt Hawkins Associates. 2017 Survey of physician appointment wait times and Medicare and Medicaid acceptance rates. www.merritthawkins.com/news-and-insights/thought-leadership/survey/survey-of-physician-appointment-wait-times. Accessed July 3, 2019.
- Pravia CI, Diaz YM. Primary care: practice meets technology. Cleve Clin J Med 2019; 86(8):525–528. doi:10.3949/ccjm.86a.18122
- Young RA, Burge SK, Kumar KA, Wilson JM, Ortiz DF. A time-motion study of primary care physicians’ work in the electronic health record era. Fam Med 2018; 50(2):91–99. doi:10.22454/FamMed.2018.184803
- Sinsky C, Colligan L, Li L, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med 2016; 165(11):753–760. doi:10.7326/M16-0961
- O'Callaghan ME, Kichenadasse G, Vatandoust S, Moretti K. Informed decision making about prostate cancer screening. Ann Intern Med 2015; 162(6):457. doi:10.7326/L15-5063
- Batur P, Walsh J. Annual mammography starting at age 40: More talk, less action? Cleve Clin J Med 2015; 82(5):272–275. doi:10.3949/ccjm.82a.14156
- Mehrotra A, Prochazka A. Improving value in health care—against the annual physical. N Engl J Med 2015; 373(16):1485–1487. doi:10.1056/NEJMp1507485
- Krogsboll LT, Jorgensen KJ, Gotzsche PC. General health checks in adults for reducing morbidity and mortality from disease. Cochrane Database Syst Rev 2019; 1:CD009009. doi:10.1002/14651858.CD009009.pub3
- Basu S, Berkowitz SA, Phillips RL, Bitton A, Landon BE, Phillips RS. Association of primary care physician supply with population mortality in the United States, 2005–2015. JAMA Intern Med 2019; 179(4):506–514. doi:10.1001/jamainternmed.2018.7624
- American College of Physicians. How is a shortage of primary care physicians affecting the quality and cost of medical care? www.acponline.org/acp_policy/policies/primary_care_shortage_affecting_hc_2008.pdf. Accessed July 3, 2019.
- Vespa, J, Armstrong D, Medina L. Demographic Turning Points for the United States: Population Projections for 2020 to 2060. www.census.gov/content/dam/Census/library/publications/2018/demo/P25_1144.pdf. Accessed July 3, 2019.
- Lin S, Mahoney M, Sinsky C. Ten ways artificial intelligence will transform primary care. J Gen Intern Med 2019. doi:10.1007/s11606-019-05035-1. Epub ahead of print.
- Feero WG. Is “precision medicine” ready to use in primary care practice? Yes: It offers patients more individualized ways of managing their health. Am Fam Physician 2017; 96(12):767–768. pmid:29431374
- Bornemann P, Jayasekera N, Bergman K, Ramos M, Gerhart J. Point-of-care ultrasound: coming soon to primary care? J Fam Pract 2018; 67(2):70–80. pmid:29400896
- Doherty R; Medical Practice and Quality Committee of the American College of Physicians. Assessing the patient care implications of “concierge” and other direct patient contracting practices: a policy position paper from the American College of Physicians. Ann Intern Med 2015; 163(12):949–952. doi:10.7326/M15-0366
- Centers for Medicare and Medicaid Services. Primary care first model options. innovation.cms.gov/initiatives/primary-care-first-model-options. Accessed July 29, 2019.
- Centers for Medicare and Medicaid Services. Final Policy, Payment, and Quality Provisions Changes to the Medicare Physician Fee Schedule for Calendar Year 2019. www.cms.gov/newsroom/fact-sheets/final-policy-payment-and-quality-provisions-changes-medicare-physician-fee-schedule-calendar-year. Accessed July 3, 2019.
- Centers for Medicare and Medicaid Services. E/M Service Documentation Provided By Students. www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNMattersArticles/Downloads/MM10412.pdf. Accessed July 3, 2019.
- American College of Physicians. Internal Medicine In-Training Examination® 2018 Residents Survey: Report of Findings, unpublished data. [Summary and analysis of residents' answers to questions about training] Philadelphia: American College of Physicians; 2019.
- American College of Physicians. Internal Medicine In-Training Examination® 1998 Residents Survey: Report of Findings, unpublished data. [Summary and analysis of residents' answers to questions about training] Philadelphia: American College of Physicians; 1999.
- Association of American Medical Colleges. New findings confirm predictions on physician shortage. news.aamc.org/press-releases/article/2019-workforce-projections-update. Accessed July 3, 2019.
- Merritt Hawkins Associates. 2017 Survey of physician appointment wait times and Medicare and Medicaid acceptance rates. www.merritthawkins.com/news-and-insights/thought-leadership/survey/survey-of-physician-appointment-wait-times. Accessed July 3, 2019.
- Pravia CI, Diaz YM. Primary care: practice meets technology. Cleve Clin J Med 2019; 86(8):525–528. doi:10.3949/ccjm.86a.18122
- Young RA, Burge SK, Kumar KA, Wilson JM, Ortiz DF. A time-motion study of primary care physicians’ work in the electronic health record era. Fam Med 2018; 50(2):91–99. doi:10.22454/FamMed.2018.184803
- Sinsky C, Colligan L, Li L, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med 2016; 165(11):753–760. doi:10.7326/M16-0961
- O'Callaghan ME, Kichenadasse G, Vatandoust S, Moretti K. Informed decision making about prostate cancer screening. Ann Intern Med 2015; 162(6):457. doi:10.7326/L15-5063
- Batur P, Walsh J. Annual mammography starting at age 40: More talk, less action? Cleve Clin J Med 2015; 82(5):272–275. doi:10.3949/ccjm.82a.14156
- Mehrotra A, Prochazka A. Improving value in health care—against the annual physical. N Engl J Med 2015; 373(16):1485–1487. doi:10.1056/NEJMp1507485
- Krogsboll LT, Jorgensen KJ, Gotzsche PC. General health checks in adults for reducing morbidity and mortality from disease. Cochrane Database Syst Rev 2019; 1:CD009009. doi:10.1002/14651858.CD009009.pub3
- Basu S, Berkowitz SA, Phillips RL, Bitton A, Landon BE, Phillips RS. Association of primary care physician supply with population mortality in the United States, 2005–2015. JAMA Intern Med 2019; 179(4):506–514. doi:10.1001/jamainternmed.2018.7624
- American College of Physicians. How is a shortage of primary care physicians affecting the quality and cost of medical care? www.acponline.org/acp_policy/policies/primary_care_shortage_affecting_hc_2008.pdf. Accessed July 3, 2019.
- Vespa, J, Armstrong D, Medina L. Demographic Turning Points for the United States: Population Projections for 2020 to 2060. www.census.gov/content/dam/Census/library/publications/2018/demo/P25_1144.pdf. Accessed July 3, 2019.
- Lin S, Mahoney M, Sinsky C. Ten ways artificial intelligence will transform primary care. J Gen Intern Med 2019. doi:10.1007/s11606-019-05035-1. Epub ahead of print.
- Feero WG. Is “precision medicine” ready to use in primary care practice? Yes: It offers patients more individualized ways of managing their health. Am Fam Physician 2017; 96(12):767–768. pmid:29431374
- Bornemann P, Jayasekera N, Bergman K, Ramos M, Gerhart J. Point-of-care ultrasound: coming soon to primary care? J Fam Pract 2018; 67(2):70–80. pmid:29400896
- Doherty R; Medical Practice and Quality Committee of the American College of Physicians. Assessing the patient care implications of “concierge” and other direct patient contracting practices: a policy position paper from the American College of Physicians. Ann Intern Med 2015; 163(12):949–952. doi:10.7326/M15-0366
- Centers for Medicare and Medicaid Services. Primary care first model options. innovation.cms.gov/initiatives/primary-care-first-model-options. Accessed July 29, 2019.
- Centers for Medicare and Medicaid Services. Final Policy, Payment, and Quality Provisions Changes to the Medicare Physician Fee Schedule for Calendar Year 2019. www.cms.gov/newsroom/fact-sheets/final-policy-payment-and-quality-provisions-changes-medicare-physician-fee-schedule-calendar-year. Accessed July 3, 2019.
- Centers for Medicare and Medicaid Services. E/M Service Documentation Provided By Students. www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNMattersArticles/Downloads/MM10412.pdf. Accessed July 3, 2019.
Where have all the children gone? Intentional communities for adults with autism
Autism spectrum disorder (ASD) is a neurodevelopmental condition typically diagnosed early in life: the median age at diagnosis is 52 months.1 Because research demonstrates the benefits of early intervention,2 when we think about people with ASD, we generally think about children and adolescents.
However, autism spans the entirety of one’s life. This means that children with ASD will grow to be adults with ASD. The US Centers for Disease Control and Prevention estimated that 1 in 59 children were diagnosed with ASD during the surveillance year 2014,1 which was nearly double the prevalence from just 8 years earlier,3 and a 15% increase since 2012.4 As these children grow up, this translates to an ever-growing number of adults with autism.
UNMET NEEDS
Healthcare, housing, and intellectual and developmental disability services for adults with ASD currently fall well short of meeting the needs of this exploding population. If solutions are to be realized, innovative approaches must be employed.
Swetlik et al,5 in this issue of the Journal, offer valuable insights into the challenges that practitioners and their adult patients with ASD encounter as a result of seismic shifts in diagnostic criteria, increasing prevalence, and changes to healthcare financial coverage. They also review behavioral and pharmacologic treatments, reproductive health, and caregiver fatigue and discuss the role of the physician and other healthcare practitioners who are likely to have only limited exposure to adult patients with ASD. These wide-ranging considerations speak to the complexity of the healthcare needs of this population.
Swetlik et al also underscore that transition planning is essential for primary care, psychiatry, behavioral health services, continuing education, skill development, and appropriate prevocational training for adolescents with ASD, and yet it is often underutilized or unavailable. There is a dearth of experienced practitioners across these disciplines to serve adults with ASD. The complexity of navigating bureaucratic processes to secure funding (typically Medicaid) supports the necessity of planning early to achieve desired outcomes for each young adult. Additionally, the number of Medicaid waivers that fund many supportive services are limited.
GROWING UP IS HARD; START PLANNING EARLY
Swetlik et al describe the stress these circumstances create for people with ASD and their families. Entering adulthood is a complicated process, fraught with emotional overtones that must include medical care, work considerations, legal and financial arrangements, and, for many, the search for an appropriate residential environment. Planning for these transitions should begin years before adulthood if the process is to work smoothly and effectively.
A transition involving a shift away from a team of familiar pediatric healthcare providers to unfamiliar adult practitioners can be distressing for any adolescent with a chronic condition. For those with ASD, who may have diminished socialization and communication skills, the transition can be especially challenging and must be handled with care.
This transition pales in comparison with the disruptive force of a permanent move out of the family home. Over the next 10 years, 500,000 youths in the United States will age out of school-based ASD services,6 and a great many of them will be put on long waiting lists for residential placement.7
For young adults with ASD, particularly those with complex needs, establishing an advantageous long-term living arrangement may mean the difference between a healthy, self-directed launch into a new phase of life, or a consequential misstep that exacerbates or worsens symptoms and creates new stressors for the young adult and his or her family. It is especially important that arrangements be made before an aging guardian starts to experience declining health.
Thoughtful and deliberate preplanning helps to reduce stress and prevent emergency placements, and promotes long-term quality of life for people with ASD.
OUT OF THE INSTITUTION, INTO THE COMMUNITY
For many years, the prevailing model for the provision of long-term care services for individuals with intellectual and developmental disabilities was institutional care. Large facilities, often located in expansive, self-contained campuses, provided around-the-clock care. Residents slept, ate, worked, and were expected to receive social and emotional fulfillment at the facility.
For some, this was an acceptable model. For many, it was not, but there were few available alternatives. At its best, this model provided a safe environment for its residents, but it did not facilitate achieving an integrated, self-directed life experience. At its worst, neglect and abuse were rampant.
Numerous legislative acts, court decisions, and advocacy efforts drove the deinstitutionalization movement for individuals with intellectual and developmental disabilities between the early 1960s and today. The 1999 case of Olmstead v LC8 was among the most significant. In this landmark case, in accordance with the 1990 Americans With Disabilities Act, the US Supreme Court ruled that people with disabilities have the right to receive state-funded services and support in the community rather than in institutions, as long as several criteria are met:
- Community supports are appropriate
- The individual desires to live in the community
- The accommodations to facilitate that arrangement are considered to be reasonable.
In the 20 years since the Olmstead decision, residential services for adults have shifted at an accelerated rate away from institutions toward smaller, community-based settings.9,10 Community models include but are not limited to:
- Group homes that serve individuals with intellectual and developmental disabilities and provide 24-hour support
- Apartments or homes where individuals live and receive intermittent, less-intensive support
- Adult foster care.
DSM-5: AUTISM IS HETEROGENEOUS
In the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5),11 ASD is characterized by persistent deficits in social interaction and social communication, which begin in early development and are observed in conjunction with restricted, repetitive behaviors, interests, or activities.
DSM-5 provides more than 20 examples of how these criteria might be met. Further, DSM-5 encourages clinicians to select diagnostic specifiers to address overall symptom severity, cognitive abilities, and associated medical conditions.
ONE RESIDENTIAL MODEL DOES NOT FIT ALL
The complex matrix of potential symptom manifestations in people with ASD clearly indicates the need for numerous distinctive residential models for adults with ASD.
One person with severe symptoms of ASD may require one-to-one staffing and proactive preparatory support in order to safely leave the house for a desired social experience. The person may be unable to read, to independently access public transportation, to cope with deviations in expected routine, to initiate conversation, or to remain calm if distressed. This person would benefit from a residential model that allows for a high staffing ratio, access to appropriate transportation, sophisticated autism-informed supports, and the availability of social experiences that are easily accessed—in other words, a very controlled environment.
Another person, with less severe symptoms and fewer behavioral challenges, who possesses a driver’s license and holds a job, may struggle with isolation and loneliness resulting from social inhibitions and skill deficits. This person’s support needs would differ, with emphasis placed on maintaining the appropriate social context rather than on providing a high level of individualized behavioral support.
The shift away from a one-size-fits-all institutional model for long-term care has benefited many individuals with intellectual and developmental disabilities who have experienced opportunities for community integration.
Still, for many adults with ASD, particularly those with complex needs and complex behavior profiles, the widespread conceptual shift to new and different models that assume that all people with intellectual and developmental disabilities will benefit from smaller, scattered-site settings is ill-fitting. It is erroneous to believe that for all adults with ASD, regardless of the complexity of their symptoms, living within a broader community of neurotypically developing neighbors breeds a richer sense of inclusion and connectivity.
FINDING CARE CAN BE DAUNTING
Families of adults with severe symptoms of ASD who seek placement in more traditional community residential models often find it difficult to find capable healthcare providers to serve them. Such settings are ill-equipped to deal with significantly challenging behaviors such as physical aggression, self-injury, property destruction, and elopement (wandering). These supported housing models lack the necessary staffing resources.
Further, publicly available funding options for stand-alone group homes do not typically allow for intensive supervision and management from professionals with expertise in autism. Without specialists who can implement autism-specific best-practice methods for assessment, service planning, staff training, data collection, and the provision of visual and technological supports for residents, it is difficult to achieve desired outcomes. For example, patients can find it challenging to visit physicians’ offices for preventive and urgent care. Lacking a caregiver who is familiar with the adult patient with ASD and who can help express his or her concerns to healthcare providers, efficient evaluation of any potentially serious medical issue is a daunting task.
INTENTIONAL COMMUNITIES
A residential model that is gaining popularity across the United States among families and individuals affected by ASD is the intentional community.
Although forms and functions may vary, intentional communities are planned residential developments that promote social cohesion and strive to meet the shared needs of its members. Intentional communities for adults with ASD are designed to meet their social, communication, sensory, and behavioral needs. Every detail from the selection of land, to the construction of housing, the selected staffing model, the daily structure, and the considerations for transportation and amenities are all informed by the specific needs of individuals with autism. Safety, integration, self-direction, independence, and social connectivity are common goals.
Successful intentional communities designed for people with intellectual and developmental disabilities often have facilities devoted to recreation, continuing education, socialization, and supportive services. Staff members who work within these communities are highly trained in the unique needs of people with these disorders. Intentional communities aspire to embody the individualized, integrated community-living approach that the Olmstead decision called for, while simultaneously offering the resource-rich, safe, and supportive experience that a campus atmosphere can offer.
Almost all recently developed models allow for residents to live among neurotypical peers and have easy access to the broader community. Communities range in size from several condominiums on a cul-de-sac to expansive developments with more than a hundred homes.
The allure of an ASD-informed intentional community that provides for the social, vocational, health, and safety needs of its residents is similar to that which leads large numbers of aging, neurotypically developing individuals to seek out retirement communities. Nationally recognized models of intentional communities include First Place (Phoenix, AZ), Sweetwater Spectrum (Sonoma, CA), Cape Cod Village (Orleans, MA), and Bittersweet Farms in Ohio.
First Place is a 55-unit apartment complex near downtown Phoenix that identifies as “community-connected” and “transit-oriented.” Although there are some individuals in the complex who do not have ASD, the development was created for those who do. The goal is to enhance the quality of life for residents through the provision of housing, jobs, social opportunities, and a supportive community.
Sweetwater Spectrum is located blocks from the Sonoma downtown plaza, on just under 3 acres of land. It includes several 4-bedroom homes, a community center with a kitchen, exercise studio, media room, and library, an expansive organic garden, and an outdoor pool.
The Autism Housing Network lists more than 75 intentional communities on its resource page. There are many exciting models in development. For example, Monarch Center for Autism in Cleveland, OH, is planning to develop an innovative intentional community. It will include mixed supported living options for adults across the autism spectrum, separate housing options for parents and family members, on-site social and recreational opportunities, green space, and retail stores intended to serve members of the surrounding community and provide employment and socialization opportunities for its residents.
Casa Familia in South Florida will soon begin constructing a large intentional community that will include innovative housing options, classrooms, social areas, an auditorium, walkways, bike paths, pools, and social enterprises.
It is critical that these ASD intentional communities continue to emerge to meet the long-term needs of the rapidly growing and aging ASD population.
THE TIME TO ACT IS NOW
Swetlik et al synthesize important, contemporary research on adult ASD healthcare considerations, pursuant to informing the many decisions that physicians and other healthcare professionals must make to address the diverse needs of this population. Their article advocates for further research and highlights the crisis surrounding the scarcity of practitioners specializing in adult ASD.
As for current healthcare providers, parents, care coordinators, and other stakeholders who are tasked with transition planning for individuals with ASD, particularly those with severe symptoms, the time to act is now, especially in creating new intentional community models.
Most adult healthcare providers have not been routinely charged with the responsibility, nor do they have the available time and resources to meet the social and communication needs of these patients. But when faced with an ever-expanding group of patients who demonstrate inadequate social and communication skills, the healthcare system must not turn a blind eye.
The symptoms of autism do not magically resolve when a child reaches adulthood. The medical community must partner with society at large to offer transitional solutions, including intentional communities, to the rapidly growing number of adults with ASD. Current demand outweighs supply, but if we work together, we can create innovative and highly effective solutions. After all, children with autism do not disappear. They grow into adults with autism.
- Baio J, Wiggins L, Christensen DL, et al. Prevalence of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2014. MMWR Surveill Summ 2018; 67(No. SS-6):1–23. doi:10.15585/mmwr.ss6706a1
- Remington B, Hastings RP, Kovshoff H, et al. Early intensive behavioral intervention: outcomes for children with autism and their parents after two years. Am J Ment Retard 2007; 112(6):418-438. doi:10.1352/0895-8017(2007)112[418:EIBIOF]2.0.CO;2
- Autism and Developmental Disabilities Monitoring Network Surveillance Year 2006 Principal Investigators; Centers for Disease Control and Prevention (CDC). Prevalence of autism spectrum disorders - Autism and Developmental Disabilities Monitoring Network, United States, 2006. (Erratum in MMWR Surveill Summ 2010; 59[30]:956.) MMWR Surveill Summ 2009; 58(10):1–20. pmid:20023608
- Christensen DL, Baio J, Van Naarden Braun K, et al; Centers for Disease Control and Prevention (CDC). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2012. MMWR Surveill Summ 2016; 65(3):1–23. doi:10.15585/mmwr.ss6503a1
- Swetlik C, Earp SE, Franco KN. Adults with autism spectrum disorder: updated considerations for healthcare providers. Cleve Clin J Med 2019; 86(8):543–553. doi:10.3949/ccjm.86a.18100
- Roux AM, Shattuck PT, Rast JE, Rava JA, Anderson KA. National Autism Indicators Report: Transition into Young Adulthood. Philadelphia, PA: Life Course Outcomes Research Program, A.J. Drexel Autism Institute, Drexel University, 2015.
- Gerhardt P. The Current State of Services for Adults with Autism. Organization for Autism Research, 2009. www.afaa-us.org/storage/documents/OAR_NYCA_survey_Current_State_of_Services_for_Adults_with_Autism.pdf. Accessed July 3, 2019.
- US Supreme Court. Olmstead v LC, US 527, 581 (1998).
- Braddock DL, Hemp RE, Tanis ES, Wu J, Haffer L. The State of the States in Intellectual and Developmental Disabilities, 11th edition. Washington D.C.: American Association on Intellectual and Developmental Disabilities, 2017.
- Larson SA, Eschenbacher HJ, Anderson LL, et al. In-home and residential long-term supports and services for persons with intellectual or developmental disabilities: status and trends through 2016. Minneapolis: University of Minnesota, Research and Training Center on Community Living, Institute on Community Integration, 2018. doi:10.13140/RG.2.2.11726.10567
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed. Washington, D.C: American Psychiatric Association; 2013.
Autism spectrum disorder (ASD) is a neurodevelopmental condition typically diagnosed early in life: the median age at diagnosis is 52 months.1 Because research demonstrates the benefits of early intervention,2 when we think about people with ASD, we generally think about children and adolescents.
However, autism spans the entirety of one’s life. This means that children with ASD will grow to be adults with ASD. The US Centers for Disease Control and Prevention estimated that 1 in 59 children were diagnosed with ASD during the surveillance year 2014,1 which was nearly double the prevalence from just 8 years earlier,3 and a 15% increase since 2012.4 As these children grow up, this translates to an ever-growing number of adults with autism.
UNMET NEEDS
Healthcare, housing, and intellectual and developmental disability services for adults with ASD currently fall well short of meeting the needs of this exploding population. If solutions are to be realized, innovative approaches must be employed.
Swetlik et al,5 in this issue of the Journal, offer valuable insights into the challenges that practitioners and their adult patients with ASD encounter as a result of seismic shifts in diagnostic criteria, increasing prevalence, and changes to healthcare financial coverage. They also review behavioral and pharmacologic treatments, reproductive health, and caregiver fatigue and discuss the role of the physician and other healthcare practitioners who are likely to have only limited exposure to adult patients with ASD. These wide-ranging considerations speak to the complexity of the healthcare needs of this population.
Swetlik et al also underscore that transition planning is essential for primary care, psychiatry, behavioral health services, continuing education, skill development, and appropriate prevocational training for adolescents with ASD, and yet it is often underutilized or unavailable. There is a dearth of experienced practitioners across these disciplines to serve adults with ASD. The complexity of navigating bureaucratic processes to secure funding (typically Medicaid) supports the necessity of planning early to achieve desired outcomes for each young adult. Additionally, the number of Medicaid waivers that fund many supportive services are limited.
GROWING UP IS HARD; START PLANNING EARLY
Swetlik et al describe the stress these circumstances create for people with ASD and their families. Entering adulthood is a complicated process, fraught with emotional overtones that must include medical care, work considerations, legal and financial arrangements, and, for many, the search for an appropriate residential environment. Planning for these transitions should begin years before adulthood if the process is to work smoothly and effectively.
A transition involving a shift away from a team of familiar pediatric healthcare providers to unfamiliar adult practitioners can be distressing for any adolescent with a chronic condition. For those with ASD, who may have diminished socialization and communication skills, the transition can be especially challenging and must be handled with care.
This transition pales in comparison with the disruptive force of a permanent move out of the family home. Over the next 10 years, 500,000 youths in the United States will age out of school-based ASD services,6 and a great many of them will be put on long waiting lists for residential placement.7
For young adults with ASD, particularly those with complex needs, establishing an advantageous long-term living arrangement may mean the difference between a healthy, self-directed launch into a new phase of life, or a consequential misstep that exacerbates or worsens symptoms and creates new stressors for the young adult and his or her family. It is especially important that arrangements be made before an aging guardian starts to experience declining health.
Thoughtful and deliberate preplanning helps to reduce stress and prevent emergency placements, and promotes long-term quality of life for people with ASD.
OUT OF THE INSTITUTION, INTO THE COMMUNITY
For many years, the prevailing model for the provision of long-term care services for individuals with intellectual and developmental disabilities was institutional care. Large facilities, often located in expansive, self-contained campuses, provided around-the-clock care. Residents slept, ate, worked, and were expected to receive social and emotional fulfillment at the facility.
For some, this was an acceptable model. For many, it was not, but there were few available alternatives. At its best, this model provided a safe environment for its residents, but it did not facilitate achieving an integrated, self-directed life experience. At its worst, neglect and abuse were rampant.
Numerous legislative acts, court decisions, and advocacy efforts drove the deinstitutionalization movement for individuals with intellectual and developmental disabilities between the early 1960s and today. The 1999 case of Olmstead v LC8 was among the most significant. In this landmark case, in accordance with the 1990 Americans With Disabilities Act, the US Supreme Court ruled that people with disabilities have the right to receive state-funded services and support in the community rather than in institutions, as long as several criteria are met:
- Community supports are appropriate
- The individual desires to live in the community
- The accommodations to facilitate that arrangement are considered to be reasonable.
In the 20 years since the Olmstead decision, residential services for adults have shifted at an accelerated rate away from institutions toward smaller, community-based settings.9,10 Community models include but are not limited to:
- Group homes that serve individuals with intellectual and developmental disabilities and provide 24-hour support
- Apartments or homes where individuals live and receive intermittent, less-intensive support
- Adult foster care.
DSM-5: AUTISM IS HETEROGENEOUS
In the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5),11 ASD is characterized by persistent deficits in social interaction and social communication, which begin in early development and are observed in conjunction with restricted, repetitive behaviors, interests, or activities.
DSM-5 provides more than 20 examples of how these criteria might be met. Further, DSM-5 encourages clinicians to select diagnostic specifiers to address overall symptom severity, cognitive abilities, and associated medical conditions.
ONE RESIDENTIAL MODEL DOES NOT FIT ALL
The complex matrix of potential symptom manifestations in people with ASD clearly indicates the need for numerous distinctive residential models for adults with ASD.
One person with severe symptoms of ASD may require one-to-one staffing and proactive preparatory support in order to safely leave the house for a desired social experience. The person may be unable to read, to independently access public transportation, to cope with deviations in expected routine, to initiate conversation, or to remain calm if distressed. This person would benefit from a residential model that allows for a high staffing ratio, access to appropriate transportation, sophisticated autism-informed supports, and the availability of social experiences that are easily accessed—in other words, a very controlled environment.
Another person, with less severe symptoms and fewer behavioral challenges, who possesses a driver’s license and holds a job, may struggle with isolation and loneliness resulting from social inhibitions and skill deficits. This person’s support needs would differ, with emphasis placed on maintaining the appropriate social context rather than on providing a high level of individualized behavioral support.
The shift away from a one-size-fits-all institutional model for long-term care has benefited many individuals with intellectual and developmental disabilities who have experienced opportunities for community integration.
Still, for many adults with ASD, particularly those with complex needs and complex behavior profiles, the widespread conceptual shift to new and different models that assume that all people with intellectual and developmental disabilities will benefit from smaller, scattered-site settings is ill-fitting. It is erroneous to believe that for all adults with ASD, regardless of the complexity of their symptoms, living within a broader community of neurotypically developing neighbors breeds a richer sense of inclusion and connectivity.
FINDING CARE CAN BE DAUNTING
Families of adults with severe symptoms of ASD who seek placement in more traditional community residential models often find it difficult to find capable healthcare providers to serve them. Such settings are ill-equipped to deal with significantly challenging behaviors such as physical aggression, self-injury, property destruction, and elopement (wandering). These supported housing models lack the necessary staffing resources.
Further, publicly available funding options for stand-alone group homes do not typically allow for intensive supervision and management from professionals with expertise in autism. Without specialists who can implement autism-specific best-practice methods for assessment, service planning, staff training, data collection, and the provision of visual and technological supports for residents, it is difficult to achieve desired outcomes. For example, patients can find it challenging to visit physicians’ offices for preventive and urgent care. Lacking a caregiver who is familiar with the adult patient with ASD and who can help express his or her concerns to healthcare providers, efficient evaluation of any potentially serious medical issue is a daunting task.
INTENTIONAL COMMUNITIES
A residential model that is gaining popularity across the United States among families and individuals affected by ASD is the intentional community.
Although forms and functions may vary, intentional communities are planned residential developments that promote social cohesion and strive to meet the shared needs of its members. Intentional communities for adults with ASD are designed to meet their social, communication, sensory, and behavioral needs. Every detail from the selection of land, to the construction of housing, the selected staffing model, the daily structure, and the considerations for transportation and amenities are all informed by the specific needs of individuals with autism. Safety, integration, self-direction, independence, and social connectivity are common goals.
Successful intentional communities designed for people with intellectual and developmental disabilities often have facilities devoted to recreation, continuing education, socialization, and supportive services. Staff members who work within these communities are highly trained in the unique needs of people with these disorders. Intentional communities aspire to embody the individualized, integrated community-living approach that the Olmstead decision called for, while simultaneously offering the resource-rich, safe, and supportive experience that a campus atmosphere can offer.
Almost all recently developed models allow for residents to live among neurotypical peers and have easy access to the broader community. Communities range in size from several condominiums on a cul-de-sac to expansive developments with more than a hundred homes.
The allure of an ASD-informed intentional community that provides for the social, vocational, health, and safety needs of its residents is similar to that which leads large numbers of aging, neurotypically developing individuals to seek out retirement communities. Nationally recognized models of intentional communities include First Place (Phoenix, AZ), Sweetwater Spectrum (Sonoma, CA), Cape Cod Village (Orleans, MA), and Bittersweet Farms in Ohio.
First Place is a 55-unit apartment complex near downtown Phoenix that identifies as “community-connected” and “transit-oriented.” Although there are some individuals in the complex who do not have ASD, the development was created for those who do. The goal is to enhance the quality of life for residents through the provision of housing, jobs, social opportunities, and a supportive community.
Sweetwater Spectrum is located blocks from the Sonoma downtown plaza, on just under 3 acres of land. It includes several 4-bedroom homes, a community center with a kitchen, exercise studio, media room, and library, an expansive organic garden, and an outdoor pool.
The Autism Housing Network lists more than 75 intentional communities on its resource page. There are many exciting models in development. For example, Monarch Center for Autism in Cleveland, OH, is planning to develop an innovative intentional community. It will include mixed supported living options for adults across the autism spectrum, separate housing options for parents and family members, on-site social and recreational opportunities, green space, and retail stores intended to serve members of the surrounding community and provide employment and socialization opportunities for its residents.
Casa Familia in South Florida will soon begin constructing a large intentional community that will include innovative housing options, classrooms, social areas, an auditorium, walkways, bike paths, pools, and social enterprises.
It is critical that these ASD intentional communities continue to emerge to meet the long-term needs of the rapidly growing and aging ASD population.
THE TIME TO ACT IS NOW
Swetlik et al synthesize important, contemporary research on adult ASD healthcare considerations, pursuant to informing the many decisions that physicians and other healthcare professionals must make to address the diverse needs of this population. Their article advocates for further research and highlights the crisis surrounding the scarcity of practitioners specializing in adult ASD.
As for current healthcare providers, parents, care coordinators, and other stakeholders who are tasked with transition planning for individuals with ASD, particularly those with severe symptoms, the time to act is now, especially in creating new intentional community models.
Most adult healthcare providers have not been routinely charged with the responsibility, nor do they have the available time and resources to meet the social and communication needs of these patients. But when faced with an ever-expanding group of patients who demonstrate inadequate social and communication skills, the healthcare system must not turn a blind eye.
The symptoms of autism do not magically resolve when a child reaches adulthood. The medical community must partner with society at large to offer transitional solutions, including intentional communities, to the rapidly growing number of adults with ASD. Current demand outweighs supply, but if we work together, we can create innovative and highly effective solutions. After all, children with autism do not disappear. They grow into adults with autism.
Autism spectrum disorder (ASD) is a neurodevelopmental condition typically diagnosed early in life: the median age at diagnosis is 52 months.1 Because research demonstrates the benefits of early intervention,2 when we think about people with ASD, we generally think about children and adolescents.
However, autism spans the entirety of one’s life. This means that children with ASD will grow to be adults with ASD. The US Centers for Disease Control and Prevention estimated that 1 in 59 children were diagnosed with ASD during the surveillance year 2014,1 which was nearly double the prevalence from just 8 years earlier,3 and a 15% increase since 2012.4 As these children grow up, this translates to an ever-growing number of adults with autism.
UNMET NEEDS
Healthcare, housing, and intellectual and developmental disability services for adults with ASD currently fall well short of meeting the needs of this exploding population. If solutions are to be realized, innovative approaches must be employed.
Swetlik et al,5 in this issue of the Journal, offer valuable insights into the challenges that practitioners and their adult patients with ASD encounter as a result of seismic shifts in diagnostic criteria, increasing prevalence, and changes to healthcare financial coverage. They also review behavioral and pharmacologic treatments, reproductive health, and caregiver fatigue and discuss the role of the physician and other healthcare practitioners who are likely to have only limited exposure to adult patients with ASD. These wide-ranging considerations speak to the complexity of the healthcare needs of this population.
Swetlik et al also underscore that transition planning is essential for primary care, psychiatry, behavioral health services, continuing education, skill development, and appropriate prevocational training for adolescents with ASD, and yet it is often underutilized or unavailable. There is a dearth of experienced practitioners across these disciplines to serve adults with ASD. The complexity of navigating bureaucratic processes to secure funding (typically Medicaid) supports the necessity of planning early to achieve desired outcomes for each young adult. Additionally, the number of Medicaid waivers that fund many supportive services are limited.
GROWING UP IS HARD; START PLANNING EARLY
Swetlik et al describe the stress these circumstances create for people with ASD and their families. Entering adulthood is a complicated process, fraught with emotional overtones that must include medical care, work considerations, legal and financial arrangements, and, for many, the search for an appropriate residential environment. Planning for these transitions should begin years before adulthood if the process is to work smoothly and effectively.
A transition involving a shift away from a team of familiar pediatric healthcare providers to unfamiliar adult practitioners can be distressing for any adolescent with a chronic condition. For those with ASD, who may have diminished socialization and communication skills, the transition can be especially challenging and must be handled with care.
This transition pales in comparison with the disruptive force of a permanent move out of the family home. Over the next 10 years, 500,000 youths in the United States will age out of school-based ASD services,6 and a great many of them will be put on long waiting lists for residential placement.7
For young adults with ASD, particularly those with complex needs, establishing an advantageous long-term living arrangement may mean the difference between a healthy, self-directed launch into a new phase of life, or a consequential misstep that exacerbates or worsens symptoms and creates new stressors for the young adult and his or her family. It is especially important that arrangements be made before an aging guardian starts to experience declining health.
Thoughtful and deliberate preplanning helps to reduce stress and prevent emergency placements, and promotes long-term quality of life for people with ASD.
OUT OF THE INSTITUTION, INTO THE COMMUNITY
For many years, the prevailing model for the provision of long-term care services for individuals with intellectual and developmental disabilities was institutional care. Large facilities, often located in expansive, self-contained campuses, provided around-the-clock care. Residents slept, ate, worked, and were expected to receive social and emotional fulfillment at the facility.
For some, this was an acceptable model. For many, it was not, but there were few available alternatives. At its best, this model provided a safe environment for its residents, but it did not facilitate achieving an integrated, self-directed life experience. At its worst, neglect and abuse were rampant.
Numerous legislative acts, court decisions, and advocacy efforts drove the deinstitutionalization movement for individuals with intellectual and developmental disabilities between the early 1960s and today. The 1999 case of Olmstead v LC8 was among the most significant. In this landmark case, in accordance with the 1990 Americans With Disabilities Act, the US Supreme Court ruled that people with disabilities have the right to receive state-funded services and support in the community rather than in institutions, as long as several criteria are met:
- Community supports are appropriate
- The individual desires to live in the community
- The accommodations to facilitate that arrangement are considered to be reasonable.
In the 20 years since the Olmstead decision, residential services for adults have shifted at an accelerated rate away from institutions toward smaller, community-based settings.9,10 Community models include but are not limited to:
- Group homes that serve individuals with intellectual and developmental disabilities and provide 24-hour support
- Apartments or homes where individuals live and receive intermittent, less-intensive support
- Adult foster care.
DSM-5: AUTISM IS HETEROGENEOUS
In the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5),11 ASD is characterized by persistent deficits in social interaction and social communication, which begin in early development and are observed in conjunction with restricted, repetitive behaviors, interests, or activities.
DSM-5 provides more than 20 examples of how these criteria might be met. Further, DSM-5 encourages clinicians to select diagnostic specifiers to address overall symptom severity, cognitive abilities, and associated medical conditions.
ONE RESIDENTIAL MODEL DOES NOT FIT ALL
The complex matrix of potential symptom manifestations in people with ASD clearly indicates the need for numerous distinctive residential models for adults with ASD.
One person with severe symptoms of ASD may require one-to-one staffing and proactive preparatory support in order to safely leave the house for a desired social experience. The person may be unable to read, to independently access public transportation, to cope with deviations in expected routine, to initiate conversation, or to remain calm if distressed. This person would benefit from a residential model that allows for a high staffing ratio, access to appropriate transportation, sophisticated autism-informed supports, and the availability of social experiences that are easily accessed—in other words, a very controlled environment.
Another person, with less severe symptoms and fewer behavioral challenges, who possesses a driver’s license and holds a job, may struggle with isolation and loneliness resulting from social inhibitions and skill deficits. This person’s support needs would differ, with emphasis placed on maintaining the appropriate social context rather than on providing a high level of individualized behavioral support.
The shift away from a one-size-fits-all institutional model for long-term care has benefited many individuals with intellectual and developmental disabilities who have experienced opportunities for community integration.
Still, for many adults with ASD, particularly those with complex needs and complex behavior profiles, the widespread conceptual shift to new and different models that assume that all people with intellectual and developmental disabilities will benefit from smaller, scattered-site settings is ill-fitting. It is erroneous to believe that for all adults with ASD, regardless of the complexity of their symptoms, living within a broader community of neurotypically developing neighbors breeds a richer sense of inclusion and connectivity.
FINDING CARE CAN BE DAUNTING
Families of adults with severe symptoms of ASD who seek placement in more traditional community residential models often find it difficult to find capable healthcare providers to serve them. Such settings are ill-equipped to deal with significantly challenging behaviors such as physical aggression, self-injury, property destruction, and elopement (wandering). These supported housing models lack the necessary staffing resources.
Further, publicly available funding options for stand-alone group homes do not typically allow for intensive supervision and management from professionals with expertise in autism. Without specialists who can implement autism-specific best-practice methods for assessment, service planning, staff training, data collection, and the provision of visual and technological supports for residents, it is difficult to achieve desired outcomes. For example, patients can find it challenging to visit physicians’ offices for preventive and urgent care. Lacking a caregiver who is familiar with the adult patient with ASD and who can help express his or her concerns to healthcare providers, efficient evaluation of any potentially serious medical issue is a daunting task.
INTENTIONAL COMMUNITIES
A residential model that is gaining popularity across the United States among families and individuals affected by ASD is the intentional community.
Although forms and functions may vary, intentional communities are planned residential developments that promote social cohesion and strive to meet the shared needs of its members. Intentional communities for adults with ASD are designed to meet their social, communication, sensory, and behavioral needs. Every detail from the selection of land, to the construction of housing, the selected staffing model, the daily structure, and the considerations for transportation and amenities are all informed by the specific needs of individuals with autism. Safety, integration, self-direction, independence, and social connectivity are common goals.
Successful intentional communities designed for people with intellectual and developmental disabilities often have facilities devoted to recreation, continuing education, socialization, and supportive services. Staff members who work within these communities are highly trained in the unique needs of people with these disorders. Intentional communities aspire to embody the individualized, integrated community-living approach that the Olmstead decision called for, while simultaneously offering the resource-rich, safe, and supportive experience that a campus atmosphere can offer.
Almost all recently developed models allow for residents to live among neurotypical peers and have easy access to the broader community. Communities range in size from several condominiums on a cul-de-sac to expansive developments with more than a hundred homes.
The allure of an ASD-informed intentional community that provides for the social, vocational, health, and safety needs of its residents is similar to that which leads large numbers of aging, neurotypically developing individuals to seek out retirement communities. Nationally recognized models of intentional communities include First Place (Phoenix, AZ), Sweetwater Spectrum (Sonoma, CA), Cape Cod Village (Orleans, MA), and Bittersweet Farms in Ohio.
First Place is a 55-unit apartment complex near downtown Phoenix that identifies as “community-connected” and “transit-oriented.” Although there are some individuals in the complex who do not have ASD, the development was created for those who do. The goal is to enhance the quality of life for residents through the provision of housing, jobs, social opportunities, and a supportive community.
Sweetwater Spectrum is located blocks from the Sonoma downtown plaza, on just under 3 acres of land. It includes several 4-bedroom homes, a community center with a kitchen, exercise studio, media room, and library, an expansive organic garden, and an outdoor pool.
The Autism Housing Network lists more than 75 intentional communities on its resource page. There are many exciting models in development. For example, Monarch Center for Autism in Cleveland, OH, is planning to develop an innovative intentional community. It will include mixed supported living options for adults across the autism spectrum, separate housing options for parents and family members, on-site social and recreational opportunities, green space, and retail stores intended to serve members of the surrounding community and provide employment and socialization opportunities for its residents.
Casa Familia in South Florida will soon begin constructing a large intentional community that will include innovative housing options, classrooms, social areas, an auditorium, walkways, bike paths, pools, and social enterprises.
It is critical that these ASD intentional communities continue to emerge to meet the long-term needs of the rapidly growing and aging ASD population.
THE TIME TO ACT IS NOW
Swetlik et al synthesize important, contemporary research on adult ASD healthcare considerations, pursuant to informing the many decisions that physicians and other healthcare professionals must make to address the diverse needs of this population. Their article advocates for further research and highlights the crisis surrounding the scarcity of practitioners specializing in adult ASD.
As for current healthcare providers, parents, care coordinators, and other stakeholders who are tasked with transition planning for individuals with ASD, particularly those with severe symptoms, the time to act is now, especially in creating new intentional community models.
Most adult healthcare providers have not been routinely charged with the responsibility, nor do they have the available time and resources to meet the social and communication needs of these patients. But when faced with an ever-expanding group of patients who demonstrate inadequate social and communication skills, the healthcare system must not turn a blind eye.
The symptoms of autism do not magically resolve when a child reaches adulthood. The medical community must partner with society at large to offer transitional solutions, including intentional communities, to the rapidly growing number of adults with ASD. Current demand outweighs supply, but if we work together, we can create innovative and highly effective solutions. After all, children with autism do not disappear. They grow into adults with autism.
- Baio J, Wiggins L, Christensen DL, et al. Prevalence of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2014. MMWR Surveill Summ 2018; 67(No. SS-6):1–23. doi:10.15585/mmwr.ss6706a1
- Remington B, Hastings RP, Kovshoff H, et al. Early intensive behavioral intervention: outcomes for children with autism and their parents after two years. Am J Ment Retard 2007; 112(6):418-438. doi:10.1352/0895-8017(2007)112[418:EIBIOF]2.0.CO;2
- Autism and Developmental Disabilities Monitoring Network Surveillance Year 2006 Principal Investigators; Centers for Disease Control and Prevention (CDC). Prevalence of autism spectrum disorders - Autism and Developmental Disabilities Monitoring Network, United States, 2006. (Erratum in MMWR Surveill Summ 2010; 59[30]:956.) MMWR Surveill Summ 2009; 58(10):1–20. pmid:20023608
- Christensen DL, Baio J, Van Naarden Braun K, et al; Centers for Disease Control and Prevention (CDC). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2012. MMWR Surveill Summ 2016; 65(3):1–23. doi:10.15585/mmwr.ss6503a1
- Swetlik C, Earp SE, Franco KN. Adults with autism spectrum disorder: updated considerations for healthcare providers. Cleve Clin J Med 2019; 86(8):543–553. doi:10.3949/ccjm.86a.18100
- Roux AM, Shattuck PT, Rast JE, Rava JA, Anderson KA. National Autism Indicators Report: Transition into Young Adulthood. Philadelphia, PA: Life Course Outcomes Research Program, A.J. Drexel Autism Institute, Drexel University, 2015.
- Gerhardt P. The Current State of Services for Adults with Autism. Organization for Autism Research, 2009. www.afaa-us.org/storage/documents/OAR_NYCA_survey_Current_State_of_Services_for_Adults_with_Autism.pdf. Accessed July 3, 2019.
- US Supreme Court. Olmstead v LC, US 527, 581 (1998).
- Braddock DL, Hemp RE, Tanis ES, Wu J, Haffer L. The State of the States in Intellectual and Developmental Disabilities, 11th edition. Washington D.C.: American Association on Intellectual and Developmental Disabilities, 2017.
- Larson SA, Eschenbacher HJ, Anderson LL, et al. In-home and residential long-term supports and services for persons with intellectual or developmental disabilities: status and trends through 2016. Minneapolis: University of Minnesota, Research and Training Center on Community Living, Institute on Community Integration, 2018. doi:10.13140/RG.2.2.11726.10567
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed. Washington, D.C: American Psychiatric Association; 2013.
- Baio J, Wiggins L, Christensen DL, et al. Prevalence of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2014. MMWR Surveill Summ 2018; 67(No. SS-6):1–23. doi:10.15585/mmwr.ss6706a1
- Remington B, Hastings RP, Kovshoff H, et al. Early intensive behavioral intervention: outcomes for children with autism and their parents after two years. Am J Ment Retard 2007; 112(6):418-438. doi:10.1352/0895-8017(2007)112[418:EIBIOF]2.0.CO;2
- Autism and Developmental Disabilities Monitoring Network Surveillance Year 2006 Principal Investigators; Centers for Disease Control and Prevention (CDC). Prevalence of autism spectrum disorders - Autism and Developmental Disabilities Monitoring Network, United States, 2006. (Erratum in MMWR Surveill Summ 2010; 59[30]:956.) MMWR Surveill Summ 2009; 58(10):1–20. pmid:20023608
- Christensen DL, Baio J, Van Naarden Braun K, et al; Centers for Disease Control and Prevention (CDC). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2012. MMWR Surveill Summ 2016; 65(3):1–23. doi:10.15585/mmwr.ss6503a1
- Swetlik C, Earp SE, Franco KN. Adults with autism spectrum disorder: updated considerations for healthcare providers. Cleve Clin J Med 2019; 86(8):543–553. doi:10.3949/ccjm.86a.18100
- Roux AM, Shattuck PT, Rast JE, Rava JA, Anderson KA. National Autism Indicators Report: Transition into Young Adulthood. Philadelphia, PA: Life Course Outcomes Research Program, A.J. Drexel Autism Institute, Drexel University, 2015.
- Gerhardt P. The Current State of Services for Adults with Autism. Organization for Autism Research, 2009. www.afaa-us.org/storage/documents/OAR_NYCA_survey_Current_State_of_Services_for_Adults_with_Autism.pdf. Accessed July 3, 2019.
- US Supreme Court. Olmstead v LC, US 527, 581 (1998).
- Braddock DL, Hemp RE, Tanis ES, Wu J, Haffer L. The State of the States in Intellectual and Developmental Disabilities, 11th edition. Washington D.C.: American Association on Intellectual and Developmental Disabilities, 2017.
- Larson SA, Eschenbacher HJ, Anderson LL, et al. In-home and residential long-term supports and services for persons with intellectual or developmental disabilities: status and trends through 2016. Minneapolis: University of Minnesota, Research and Training Center on Community Living, Institute on Community Integration, 2018. doi:10.13140/RG.2.2.11726.10567
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed. Washington, D.C: American Psychiatric Association; 2013.
Gastroparesis
To the Editor: We read with great pleasure the article by Sharayah et al about acute gastroparesis in a patient with diabetic ketoacidosis.1 However, in the case description, the authors reached a diagnosis of gastroparesis secondary to diabetic ketoacidosis without aptly ruling out some of its most common causes such as hypokalemia and other electrolyte imbalances seen in diabetic patients (in the setting of recurrent vomiting).
The authors also did not include the patient’s duration of diabetes or hemoglobin A1c level, both of which are linked with gastroparesis in diabetic patients.2 Pertinent biochemical information that can help readers formulate a rational approach and journey to making a diagnosis appears elusive in their article.
- Sharayah AM, Hajjaj N, Osman R, Livornese D. Gastroparesis in a patient with diabetic ketoacidosis. Cleve Clin J Med 2019; 86(4):238–239. doi:10.3949/ccjm.86a.18116
- Bharucha AE, Kudva Y, Basu A, et al. Relationship between glycemic control and gastric emptying in poorly controlled type 2 diabetes. Clin Gastroenterol Hepatol 2015; 13(3):466–476.e461. doi:10.1016/j.cgh.2014.06.034
To the Editor: We read with great pleasure the article by Sharayah et al about acute gastroparesis in a patient with diabetic ketoacidosis.1 However, in the case description, the authors reached a diagnosis of gastroparesis secondary to diabetic ketoacidosis without aptly ruling out some of its most common causes such as hypokalemia and other electrolyte imbalances seen in diabetic patients (in the setting of recurrent vomiting).
The authors also did not include the patient’s duration of diabetes or hemoglobin A1c level, both of which are linked with gastroparesis in diabetic patients.2 Pertinent biochemical information that can help readers formulate a rational approach and journey to making a diagnosis appears elusive in their article.
To the Editor: We read with great pleasure the article by Sharayah et al about acute gastroparesis in a patient with diabetic ketoacidosis.1 However, in the case description, the authors reached a diagnosis of gastroparesis secondary to diabetic ketoacidosis without aptly ruling out some of its most common causes such as hypokalemia and other electrolyte imbalances seen in diabetic patients (in the setting of recurrent vomiting).
The authors also did not include the patient’s duration of diabetes or hemoglobin A1c level, both of which are linked with gastroparesis in diabetic patients.2 Pertinent biochemical information that can help readers formulate a rational approach and journey to making a diagnosis appears elusive in their article.
- Sharayah AM, Hajjaj N, Osman R, Livornese D. Gastroparesis in a patient with diabetic ketoacidosis. Cleve Clin J Med 2019; 86(4):238–239. doi:10.3949/ccjm.86a.18116
- Bharucha AE, Kudva Y, Basu A, et al. Relationship between glycemic control and gastric emptying in poorly controlled type 2 diabetes. Clin Gastroenterol Hepatol 2015; 13(3):466–476.e461. doi:10.1016/j.cgh.2014.06.034
- Sharayah AM, Hajjaj N, Osman R, Livornese D. Gastroparesis in a patient with diabetic ketoacidosis. Cleve Clin J Med 2019; 86(4):238–239. doi:10.3949/ccjm.86a.18116
- Bharucha AE, Kudva Y, Basu A, et al. Relationship between glycemic control and gastric emptying in poorly controlled type 2 diabetes. Clin Gastroenterol Hepatol 2015; 13(3):466–476.e461. doi:10.1016/j.cgh.2014.06.034
In reply: Gastroparesis
In Reply: We thank the readers for their letter. Our patient’s laboratory values at the time of presentation were as follows:
- Corrected sodium 142 mmol/L
- Potassium 5.5 mmol/L
- Phosphorus 6.6 mmol/L.
The rest of the electrolyte levels were within normal limits.
These reported electrolyte levels were unlikely to cause such gastroparesis. The patient’s hemoglobin A1c was 8.7% at the time of presentation, with no previous values available. However, since abdominal computed tomography done 1 year before this presentation did not show stomach dilation and the patient was asymptomatic, his gastroparesis was presumed to be acute.
In Reply: We thank the readers for their letter. Our patient’s laboratory values at the time of presentation were as follows:
- Corrected sodium 142 mmol/L
- Potassium 5.5 mmol/L
- Phosphorus 6.6 mmol/L.
The rest of the electrolyte levels were within normal limits.
These reported electrolyte levels were unlikely to cause such gastroparesis. The patient’s hemoglobin A1c was 8.7% at the time of presentation, with no previous values available. However, since abdominal computed tomography done 1 year before this presentation did not show stomach dilation and the patient was asymptomatic, his gastroparesis was presumed to be acute.
In Reply: We thank the readers for their letter. Our patient’s laboratory values at the time of presentation were as follows:
- Corrected sodium 142 mmol/L
- Potassium 5.5 mmol/L
- Phosphorus 6.6 mmol/L.
The rest of the electrolyte levels were within normal limits.
These reported electrolyte levels were unlikely to cause such gastroparesis. The patient’s hemoglobin A1c was 8.7% at the time of presentation, with no previous values available. However, since abdominal computed tomography done 1 year before this presentation did not show stomach dilation and the patient was asymptomatic, his gastroparesis was presumed to be acute.
U.S. infant mortality continued slow decline in 2017
according to data released Aug. 1 by the National Center for Health Statistics, based on data from the National Vital Statistics System.
The rate for 2017 was 5.79 deaths per 1,000 live births, which was not statistically different from the rate of 5.87 in 2016, the National Center for Health Statistics said in a new report. Neonatal and postneonatal mortality – 3.85 and 1.94 per 1,000, respectively – both showed the same nonsignificant drop from 2016 to 2017.
About two-thirds of the infants who died in 2017 were children born preterm (less than 37 weeks’ gestation), the NCHS said, and “the mortality rate for infants born before 28 weeks of gestation [389.4 per 1,000] was 183 times the rate for term infants” born at 37-41 weeks.
Rates at the state level in 2017 ranged from a low of 3.66 deaths/1,000 live births in Massachusetts to a high of 8.73/1,000 in Mississippi. Washington (3.88) was the only other state with a rate below 4.0, while Arkansas (8.10) was the only other state above 8.0 (The District of Columbia had a rate of 8.16.). Infant mortality was significantly lower than the national rate in 11 states and significantly higher in 15 states and D.C., according to the report.
Overall, in 2017, 3,855,500 live births occurred, with 22,341 infants having died before the age of 1 year, data from the National Vital Statistics System’s linked birth/infant death file show. In 1995, the first year that the linked file was available, the corresponding numbers were 3,899,589 births and 29,505 deaths, for a rate of 7.57 deaths/1,000 live births.
according to data released Aug. 1 by the National Center for Health Statistics, based on data from the National Vital Statistics System.
The rate for 2017 was 5.79 deaths per 1,000 live births, which was not statistically different from the rate of 5.87 in 2016, the National Center for Health Statistics said in a new report. Neonatal and postneonatal mortality – 3.85 and 1.94 per 1,000, respectively – both showed the same nonsignificant drop from 2016 to 2017.
About two-thirds of the infants who died in 2017 were children born preterm (less than 37 weeks’ gestation), the NCHS said, and “the mortality rate for infants born before 28 weeks of gestation [389.4 per 1,000] was 183 times the rate for term infants” born at 37-41 weeks.
Rates at the state level in 2017 ranged from a low of 3.66 deaths/1,000 live births in Massachusetts to a high of 8.73/1,000 in Mississippi. Washington (3.88) was the only other state with a rate below 4.0, while Arkansas (8.10) was the only other state above 8.0 (The District of Columbia had a rate of 8.16.). Infant mortality was significantly lower than the national rate in 11 states and significantly higher in 15 states and D.C., according to the report.
Overall, in 2017, 3,855,500 live births occurred, with 22,341 infants having died before the age of 1 year, data from the National Vital Statistics System’s linked birth/infant death file show. In 1995, the first year that the linked file was available, the corresponding numbers were 3,899,589 births and 29,505 deaths, for a rate of 7.57 deaths/1,000 live births.
according to data released Aug. 1 by the National Center for Health Statistics, based on data from the National Vital Statistics System.
The rate for 2017 was 5.79 deaths per 1,000 live births, which was not statistically different from the rate of 5.87 in 2016, the National Center for Health Statistics said in a new report. Neonatal and postneonatal mortality – 3.85 and 1.94 per 1,000, respectively – both showed the same nonsignificant drop from 2016 to 2017.
About two-thirds of the infants who died in 2017 were children born preterm (less than 37 weeks’ gestation), the NCHS said, and “the mortality rate for infants born before 28 weeks of gestation [389.4 per 1,000] was 183 times the rate for term infants” born at 37-41 weeks.
Rates at the state level in 2017 ranged from a low of 3.66 deaths/1,000 live births in Massachusetts to a high of 8.73/1,000 in Mississippi. Washington (3.88) was the only other state with a rate below 4.0, while Arkansas (8.10) was the only other state above 8.0 (The District of Columbia had a rate of 8.16.). Infant mortality was significantly lower than the national rate in 11 states and significantly higher in 15 states and D.C., according to the report.
Overall, in 2017, 3,855,500 live births occurred, with 22,341 infants having died before the age of 1 year, data from the National Vital Statistics System’s linked birth/infant death file show. In 1995, the first year that the linked file was available, the corresponding numbers were 3,899,589 births and 29,505 deaths, for a rate of 7.57 deaths/1,000 live births.
Urine drug tests: How to make the most of them
Urine drug tests (UDTs) are useful clinical tools for assessing and monitoring the risk of misuse, abuse, and diversion when prescribing controlled substances, or for monitoring abstinence in patients with substance use disorders (SUDs). However, UDTs have been underutilized, and have been used without systematic documentation of reasons and results.1,2 In addition, many clinicians may lack the knowledge needed to effectively interpret test results.3,4 Although the reported use of UDTs is much higher among clinicians who are members of American Society of Addiction Medicine (ASAM), there is still a need for improved education.5
The appropriate use of UDTs strengthens the therapeutic relationship and promotes healthy behaviors and patients’ recovery. On the other hand, incorrect interpretation of test results may lead to missing potential aberrant behaviors, or inappropriate consequences for patients, such as discontinuing necessary medications or discharging them from care secondary to a perceived violation of a treatment contract due to unexpected positive or negative drug screening results.6 In this article, we review the basic concepts of UDTs and provide an algorithm to determine when to order these tests, how to interpret the results, and how to modify treatment accordingly.
Urine drug tests 101
Urine drug tests include rapid urine drug screening (UDS) and confirmatory tests. Urine drug screenings are usually based on various types of immunoassays. They are fast, sensitive, and cost-effective. Because immunoassa
Urine drug tests based on mass spectrometry, gas chromatography/mass spectrometry (GC/MS), and liquid chromatography/mass spectrometry (LC/MS) are gold standards to confirm toxicology results. They are highly sensitive and specific, with accurate quantitative measurement. However, they are more expensive than UDS and usually need to be sent to a laboratory with capacity to perform GC/MS or LC/MS, with a turnaround time of up to 1 week.8 In clinical practice, we usually start with UDS tests and order confirmatory tests when needed.
When to order UDTs in outpatient psychiatry
On December 12, 2013, the ASAM released a white paper that suggests the use of drug testing as a primary prevention, diagnostic, and monitoring tool in the management of addiction or drug misuse and its application in a wide variety of medical settings.9 Many clinicians use treatment contracts when prescribing controlled substances as a part of a risk-mitigation strategy, and these contracts often include the use of UDTs. Urine drug tests provide objective evidence to support or negate self-report, because many people may underreport their use.10 The literature has shown significant “abnormal” urine test results, ranging from 9% to 53%, in patients receiving chronic opioid therapy.2,11
The CDC and the American Academy of Pain Medicine recommend UDS before initiating any controlled substance for pain therapy.12,13 They also suggest random drug testing at least once or twice a year for low-risk patients, and more frequent screening for high-risk patients, such as those with a history of addiction.12,13 For example, for patients with opioid use disorder who participate in a methadone program, weekly UDTs are mandated for the first 90 days, and at least 8 UDTs a year are required after that.
However, UDTs carry significant stigma due to their association with SUDs. Talking with patients from the start of treatment helps to reduce this stigma, and makes it easier to have further discussions when patients have unexpected results during treatment. For example, clinicians can explain to patients that monitoring UDTs when prescribing controlled substances is similar to monitoring thyroid function with lithium use because treatment with a controlled substance carries an inherent risk of misuse, abuse, and diversion. For patients with SUDs, clinicians can explain that using UDTs to monitor their abstinence is similar to monitoring HbA1c for glucose control in patients with diabetes.
Continue to: Factors that can affect UDT results
Factors that can affect UDT results
In addition to knowing when to order UDT, it is critical to know how to interpret the results of UDS and follow up with confirmatory tests when needed. Other than the limitations of the tests, the following factors could contribute to unexpected UDT results:
- the drug itself, including its half-life, metabolic pathways, and potential interactions with other medications
- how patients take their medications, including dose, frequency, and pattern of drug use
- all the medications that patients are taking, including prescription, over-the-counter, and herbal and supplemental preparations
- when the last dose of a prescribed controlled substance was taken. Always ask when the patient’s last dose was taken before you consider ordering a UDT.
To help better understand UDT results, Figure 114 and Figure 215 demonstrate metabolic pathways of commonly used benzodiazepines and opioids, respectively. There are several comprehensive reviews on commonly seen false positives and negatives for each drug or each class of drugs in immunoassays.16-21 Confirmatory tests are usually very accurate. However, chiral analysis is needed to differentiate enantiomers, such as methamphetamine (active R-enantiomer) and selegiline, which is metabolized into L-methamphetamine (inactive S-enantiomer).22 In addition, detection of tetrahydrocannabivarin (THCV), an ingredient of the cannabis plant, via GC/MS can be used to distinguish between consumption of dronabinol and natural cannabis products.23 The Table16-21 summarizes the prototype agents, other detectable agents in the same class, and false positives and negatives in immunoassays.
Interpreting UDT results and management strategies
Our Algorithm outlines how to interpret UDT results, and management strategies to consider based on whether the results are as expected or unexpected, with a few key caveats as described below.
Expected results
If there are no concerns based on the patient’s clinical presentation or collateral information, simply continue the current treatment. However, for patients taking medications that are undetectable by UDS (for example, regular use of clonazepam or oxycodone), consider ordering confirmatory tests at least once to ensure compliance, even when UDS results are negative.
Unexpected positive results, including the presence of illicit drugs and/or unprescribed licit drugs
Drug misuse, abuse, or dependence. The first step is to talk with the patient, who may acknowledge drug misuse, abuse, or dependence. Next, consider modifying the treatment plan; this may include more frequent monitoring and visits, limiting or discontinuing prescribed controlled substances, or referring the patient to inpatient or outpatient SUD treatment, as appropriate.
Continue to: Interference from medications or diet
Interference from medications or diets. One example of a positive opioid screening result due to interference from diet is the consumption of foods that contain poppy seeds. Because of this potential interference, the cutoff value for a positive opioid immunoassay in workplace drug testing was increased from 300 to 2,000 ug/L.24 Educating patients regarding medication and lifestyle choices can help them avoid any interference with drug monitoring. Confirmatory tests can be ordered at the clinician’s discretion. The same principle applies to medication choice when prescribing. For example, a patient taking bupropion may experience a false positive result on a UDS for amphetamines, and a different antidepressant might be a better choice (Box 1).
Box 1
A patient with methamphetamine use disorder asked his psychiatrist for a letter to his probation officer because his recent urine drug screening (UDS) was positive for amphetamine. At a previous visit, the patient had been started on bupropion for depression and methamphetamine use disorder. After his most recent positive UDS, the patient stopped taking bupropion because he was aware that bupropion could cause a false-positive result on amphetamine screening. However, the psychiatrist could not confirm the results of the UDS, because he did not have the original sample for confirmatory testing. In this case, starting the patient on bupropion may not have been the best option without contacting the patient’s probation officer to discuss a good strategy for distinguishing true vs false-positive UDS results.
Urine sample tampering. Consider the possibility that urine samples could be substituted, especially when there are signs or indications of tampering, such as a positive pregnancy test for a male patient, or the presence of multiple prescription medications not prescribed to the patient. If there is high suspicion of urine sample tampering, consider observed urine sample collection.
When to order confirmatory tests for unexpected positive results.
Order a confirmatory test if a patient adamantly denies taking the substance(s) for which he/she has screened positive, and there’s no other explanation for the positive result. Continue the patient’s current treatment if the confirmatory test is negative. However, if the confirmatory test is positive, then modify the treatment plan (Algorithm).
Special circumstances.
A positive opioid screen in a patient who has been prescribed a synthetic or semisynthetic opioid indicates the patient is likely using opioids other than the one he/she has been prescribed. Similarly, clonazepam is expected to be negative in a benzodiazepine immunoassay. If such testing is positive, consider the possibility that the patient is taking other benzodiazepines, such as diazepam. The results of UDTs can also be complicated by common metabolites in the same class of drugs. For example, the presence of hydromorphone for patients taking hydrocodone does not necessarily indicate the use of hydromorphone, because hydromorphone is a metabolite of hydrocodone (Figure 215).
Unexpected negative results
Prescribed medications exist in low concentration that are below the UDS detection threshold. This unexpected UDS result could occur if patients:
- take their medications less often than prescribed (because of financial difficulties or the patient feels better and does not think he/she needs it, etc.)
- hydrate too much (intentionally or unintentionally), are pregnant, or are fast metabolizers (Box 2)
- take other medications that increase the metabolism of the prescribed medication.
Box 2
A patient with opioid use disorder kept requesting a higher dose of methadone due to poorly controlled cravings. Even after he was observed taking methadone by the clinic staff, he was negative for methadone in immunoassay screening, and had a very low level of methadone based on liquid chromatography/mass spectrometry. Pharmacogenetic testing revealed that the patient was a cytochrome P450 2B6 ultra-rapid metabolizer; 2B6 is a primary metabolic enzyme for methadone. He also had a high concentration of 2-ethylidene- 1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP), the primary metabolite of methadone, which was consistent with increased methadone metabolism.
Continue to: Further inquiry will...
Further inquiry will clarify these concerns. Clinicians should educate patients and manage accordingly. Confirmatory tests may be ordered upon clinicians’ discretion.
Urine sample tampering. Dilution or substitution of urine samples may lead to unexpected negative results. Usually, the urine sample will have abnormal parameters, including temperature, pH, specific gravity, urine creatinine level, or detection of adulterants. If needed, consider observed urine sample collection. Jaffee et al25 reviewed tampering methods in urine drug testing.
Diversion or binge use of medications. If patients adamantly deny diverting or binge using their medication, order confirmatory tests. If the confirmatory test also is negative, modify the treatment plan accordingly, and consider the following options:
- adjust the medication dosage or frequency
- discontinue the medication
- conduct pill counts for more definitive evidence of diversion or misuse, especially if discontinuation may lead to potential harm (for example, for patients prescribed buprenorphine for opioid use disorder).
When to order confirmatory tests for unexpected negative results.
Because confirmatory tests also measure drug concentrations, clinicians sometimes order serial confirmatory testing to monitor lipophilic drugs after a patient reports discontinuation, such as in the case of a patient using marijuana, ketamine, or alprazolam. The level of a lipophilic drug, such as these 3, should continue to decline if the patient has discontinued using it. However, because the drug level is affected by how concentrated the urine samples are, it is necessary to compare the ratios of drug levels over urine creatinine levels.26 Another use for confirmatory-quantitative testing is to detect “urine spiking,”27,28 when a patient adds an unconsumed drug to his/her urine sample to produce a positive result without actually taking the drug (Box 3).
Box 3
On a confirmatory urine drug test, a patient taking buprenorphine/naloxone had a very high level of buprenorphine, but almost no norbuprenorphine (a metabolite of buprenorphine). After further discussion with the clinician, the patient admitted that he had dipped his buprenorphine/naltrexone pill in his urine sample (“spiking”) to disguise the fact that he stopped taking buprenorphine/naloxone several days ago in an effort to get high from taking opioids.
When to consult lab specialists
Because many clinicians may find it challenging to stay abreast of all of the factors necessary to properly interpret UDT results, consulting with qualified laboratory professionals is appropriate when needed. For example, a patient was prescribed codeine, and his UDTs showed morphine as anticipated; however, the prescribing clinician suspected that the patient was also using heroin. In this case, consultation with a specialist may be warranted to look for 6-mono-acetylemorphine (6-MAM, a unique heroin metabolite) and/or the ratio of morphine to codeine.
Continue to: In summary...
In summary, UDTs are important tools to use in general psychiatry practice, especially when prescribing controlled substances. To use UDTs effectively, it is essential to possess knowledge of drug metabolism and the limitations of these tests. All immunoassay results should be considered as presumptive, and confirmatory tests are often needed for making treatment decisions. Many clinicians are unlikely to possess all the knowledge needed to correctly interpret UDTs, and in some cases, communication with qualified laboratory professionals may be necessary. In addition, the patient’s history and clinical presentation, collateral information, and data from prescription drug monitoring programs are all important factors to consider.
The cost of UDTs, variable insurance coverage, and a lack of on-site laboratory services can be deterrents to implementing UDTs as recommended. These factors vary significantly across regions, facilities, and insurance providers (see Related Resources). If faced with these issues and you expect to often need UDTs in your practice, consider using point-of-care UDTs as an alternative to improve access, convenience, and possibly cost.
Bottom Line
Urine drug tests (UDTs) should be standard clinical practice when prescribing controlled substances and treating patients with substance use disorders in the outpatient setting. Clinicians need to be knowledgeable about the limitations of UDTs, drug metabolism, and relevant patient history to interpret UDTs proficiently for optimal patient care. Consult laboratory specialists when needed to help interpret the results.
Related Resources
- Islam FA, Choudhry Z. Urine drug screens: Not just for job applicants. Current Psychiatry. 2018;17(12):43-44.
- HealthCare.gov. Health benefits & coverage: Mental health & substance abuse coverage. www.healthcare.gov/coverage/mental-health-substance-abuse-coverage/.
Drug Brand Names
Alprazolam • Xanax
Amphetamine • Adderall
Atomoxetine • Strattera
Buprenorphine • Subutex
Buprenorphine/naloxone • Suboxone, Zubsolv
Bupropion • Wellbutrin, Zyban
Chlordiazepoxide • Librium
Chlorpromazine • Thorazine
Clonazepam • Klonopin
Desipramine • Norpramin
Dextroamphetamine • Dexedrine, ProCentra
Diazepam • Valium
Doxepin • Silenor
Dronabinol • Marinol
Efavirenz • Sustiva
Ephedrine • Akovaz
Fentanyl • Actiq, Duragesic
Flurazepam • Dalmane
Hydrocodone • Hysingla, Zohydro ER
Hydromorphone • Dilaudid, Exalgo
Labetalol • Normodyne, Trandate
Lamotrigine • Lamictal
Lisdexamfetamine • Vyvanse
Lithium • Eskalith, Lithobid
Lorazepam • Ativan
Meperidine • Demerol
Metformin • Fortamet, Glucophage
Methadone • Dolophine, Methadose
Methylphenidate • Ritalin
Midazolam • Versed
Morphine • Kadian, MorphaBond
Nabilone • Cesamet
Naltrexone • Vivitrol
Oxaprozin • Daypro
Oxazepam • Serax
Oxycodone • Oxycontin
Oxymorphone • Opana
Phentermine • Adipex-P, Ionamin
Promethazine • Phenergan
Quetiapine • Seroquel
Ranitidine • Zantac
Rifampicin • Rifadin
Selegiline • Eldepryl, Zelapar
Sertraline • Zoloft
Temazepam • Restoril
Thioridazine • Mellaril
Tramadol • Conzip, Ultram
Trazodone • Desyrel
Triazolam • Halcion
Venlafaxine • Effexor
Verapamil • Calan, Verelan
Zolpidem • Ambien
1. Passik SD, Schreiber J, Kirsh KL, et al. A chart review of the ordering and documentation of urine toxicology screens in a cancer center: do they influence patient management? J Pain Symptom Manag. 2000;19(1):40-44.
2. Arthur JA, Edwards T, Lu Z, et al. Frequency, predictors, and outcomes of urine drug testing among patients with advanced cancer on chronic opioid therapy at an outpatient supportive care clinic. Cancer. 2016;122(23):3732-3739.
3. Suzuki JM, Garayalde SM, Dodoo MM, et al. Psychiatry residents’ and fellows’ confidence and knowledge in interpreting urine drug testing results related to opioids. Subst Abus. 2018;39(4):518-521.
4. Reisfield GM, Bertholf R, Barkin RL, et al. Urine drug test interpretation: what do physicians know? J Opioid Manag. 2007;3(2):80-86.
5. Kirsh KL, Baxter LE, Rzetelny A, et al. A survey of ASAM members’ knowledge, attitudes, and practices in urine drug testing. J Addict Med. 2015;9(5):399-404.
6. Morasco BJ, Krebs EE, Adams MH, et al. Clinician response to aberrant urine drug test results of patients prescribed opioid therapy for chronic pain. Clin J Pain. 2019;35(1):1-6.
7. Liu RH. Comparison of common immunoassay kits for effective application in workplace drug urinalysis. Forensic Sci Rev. 1994;6(1):19-57.
8. Jannetto PJ, Fitzgerald RL. Effective use of mass spectrometry in the clinical laboratory. Clin Chem. 2016;62(1):92-98.
9. American Society of Addiction Medicine. Resources: ASAM releases white paper on drug testing. https://www.asam.org/resources/publications/magazine/read/article/2013/12/16/asam-releases-white-paper-on-drug-testing. Published December 16, 2019. Accessed June 25, 2019.
10. Fishbain DA, Cutler RB, Rosomoff HL, et al. Validity of self-reported drug use in chronic pain patients. Clin J Pain. 1999;15(3):184-191.
11. Michna E, Jamison RN, Pham LD, et al. Urine toxicology screening among chronic pain patients on opioid therapy: Frequency and predictability of abnormal findings. Clin J Pain. 2007;23(2):173-179.
12. Dowell D, Haegerich TM, Chou R. CDC guideline for prescribing opioids for chronic pain--United States, 2016. JAMA. 2016;315(15):1624-1645.
13. Chou R. 2009 clinical guidelines from the American Pain Society and the American Academy of Pain medicine on the use of chronic opioid therapy in chronic noncancer pain: what are the key messages for clinical practice? Pol Arch Med Wewn. 2009;119(7-8):469-477.
14. Mihic SJ, Harris RA. Hypnotics and sedatives. In: Brunton LL, Chabner BA, Knollmann BC, eds. Goodman & Gilman’s the pharmacological basis of therapeutics. 13th ed. New York, NY: McGrawHill Medical; 2017:343-344.
15. DePriest AZ, Puet BL, Holt AC, et al. Metabolism and disposition of prescription opioids: a review. Forensic Sci Rev. 2015;27(2):115-145.
16. Tenore PL. Advanced urine toxicology testing. J Addict Dis. 2010;29(4):436-448.
17. Brahm NC, Yeager LL, Fox MD, et al. Commonly prescribed medications and potential false-positive urine drug screens. Am J Health Syst Pharm. 2010;67(16):1344-1350.
18. Saitman A, Park HD, Fitzgerald RL. False-positive interferences of common urine drug screen immunoassays: a review. J Anal Toxicol. 2014;38(7):387-396.
19. Moeller KE, Kissack JC, Atayee RS, et al. Clinical interpretation of urine drug tests: what clinicians need to know about urine drug screens. Mayo Clin Proc. 2017;92(5):774-796.
20. Nelson ZJ, Stellpflug SJ, Engebretsen KM. What can a urine drug screening immunoassay really tell us? J Pharm Pract. 2016;29(5):516-526.
21. Reisfield GM, Goldberger BA, Bertholf RL. ‘False-positive’ and ‘false-negative’ test results in clinical urine drug testing. Bioanalysis. 2009;1(5):937-952.
22. Poklis A, Moore KA. Response of EMIT amphetamine immunoassays to urinary desoxyephedrine following Vicks inhaler use. Ther Drug Monit. 1995;17(1):89-94.
23. ElSohly MA, Feng S, Murphy TP, et al. Identification and quantitation of 11-nor-delta9-tetrahydrocannabivarin-9-carboxylic acid, a major metabolite of delta9-tetrahydrocannabivarin. J Anal Toxicol. 2001;25(6):476-480.
24. Selavka CM. Poppy seed ingestion as a contributing factor to opiate-positive urinalysis results: the pacific perspective. J Forensic Sci. 1991;36(3):685-696.
25. Jaffee WB, Trucco E, Levy S, et al. Is this urine really negative? A systematic review of tampering methods in urine drug screening and testing. J Subst Abuse Treat. 2007;33(1):33-42.
26. Fraser AD, Worth D. Urinary excretion profiles of 11-nor-9-carboxy-delta9-tetrahydrocannabinol: a delta9-thccooh to creatinine ratio study. J Anal Toxicol. 1999;23(6):531-534.
27. Holt SR, Donroe JH, Cavallo DA, et al. Addressing discordant quantitative urine buprenorphine and norbuprenorphine levels: case examples in opioid use disorder. Drug Alcohol Depend. 2018;186:171-174.
28. Accurso AJ, Lee JD, McNeely J. High prevalence of urine tampering in an office-based opioid treatment practice detected by evaluating the norbuprenorphine to buprenorphine ratio. J Subst Abuse Treat. 2017;83:62-67.
Urine drug tests (UDTs) are useful clinical tools for assessing and monitoring the risk of misuse, abuse, and diversion when prescribing controlled substances, or for monitoring abstinence in patients with substance use disorders (SUDs). However, UDTs have been underutilized, and have been used without systematic documentation of reasons and results.1,2 In addition, many clinicians may lack the knowledge needed to effectively interpret test results.3,4 Although the reported use of UDTs is much higher among clinicians who are members of American Society of Addiction Medicine (ASAM), there is still a need for improved education.5
The appropriate use of UDTs strengthens the therapeutic relationship and promotes healthy behaviors and patients’ recovery. On the other hand, incorrect interpretation of test results may lead to missing potential aberrant behaviors, or inappropriate consequences for patients, such as discontinuing necessary medications or discharging them from care secondary to a perceived violation of a treatment contract due to unexpected positive or negative drug screening results.6 In this article, we review the basic concepts of UDTs and provide an algorithm to determine when to order these tests, how to interpret the results, and how to modify treatment accordingly.
Urine drug tests 101
Urine drug tests include rapid urine drug screening (UDS) and confirmatory tests. Urine drug screenings are usually based on various types of immunoassays. They are fast, sensitive, and cost-effective. Because immunoassa
Urine drug tests based on mass spectrometry, gas chromatography/mass spectrometry (GC/MS), and liquid chromatography/mass spectrometry (LC/MS) are gold standards to confirm toxicology results. They are highly sensitive and specific, with accurate quantitative measurement. However, they are more expensive than UDS and usually need to be sent to a laboratory with capacity to perform GC/MS or LC/MS, with a turnaround time of up to 1 week.8 In clinical practice, we usually start with UDS tests and order confirmatory tests when needed.
When to order UDTs in outpatient psychiatry
On December 12, 2013, the ASAM released a white paper that suggests the use of drug testing as a primary prevention, diagnostic, and monitoring tool in the management of addiction or drug misuse and its application in a wide variety of medical settings.9 Many clinicians use treatment contracts when prescribing controlled substances as a part of a risk-mitigation strategy, and these contracts often include the use of UDTs. Urine drug tests provide objective evidence to support or negate self-report, because many people may underreport their use.10 The literature has shown significant “abnormal” urine test results, ranging from 9% to 53%, in patients receiving chronic opioid therapy.2,11
The CDC and the American Academy of Pain Medicine recommend UDS before initiating any controlled substance for pain therapy.12,13 They also suggest random drug testing at least once or twice a year for low-risk patients, and more frequent screening for high-risk patients, such as those with a history of addiction.12,13 For example, for patients with opioid use disorder who participate in a methadone program, weekly UDTs are mandated for the first 90 days, and at least 8 UDTs a year are required after that.
However, UDTs carry significant stigma due to their association with SUDs. Talking with patients from the start of treatment helps to reduce this stigma, and makes it easier to have further discussions when patients have unexpected results during treatment. For example, clinicians can explain to patients that monitoring UDTs when prescribing controlled substances is similar to monitoring thyroid function with lithium use because treatment with a controlled substance carries an inherent risk of misuse, abuse, and diversion. For patients with SUDs, clinicians can explain that using UDTs to monitor their abstinence is similar to monitoring HbA1c for glucose control in patients with diabetes.
Continue to: Factors that can affect UDT results
Factors that can affect UDT results
In addition to knowing when to order UDT, it is critical to know how to interpret the results of UDS and follow up with confirmatory tests when needed. Other than the limitations of the tests, the following factors could contribute to unexpected UDT results:
- the drug itself, including its half-life, metabolic pathways, and potential interactions with other medications
- how patients take their medications, including dose, frequency, and pattern of drug use
- all the medications that patients are taking, including prescription, over-the-counter, and herbal and supplemental preparations
- when the last dose of a prescribed controlled substance was taken. Always ask when the patient’s last dose was taken before you consider ordering a UDT.
To help better understand UDT results, Figure 114 and Figure 215 demonstrate metabolic pathways of commonly used benzodiazepines and opioids, respectively. There are several comprehensive reviews on commonly seen false positives and negatives for each drug or each class of drugs in immunoassays.16-21 Confirmatory tests are usually very accurate. However, chiral analysis is needed to differentiate enantiomers, such as methamphetamine (active R-enantiomer) and selegiline, which is metabolized into L-methamphetamine (inactive S-enantiomer).22 In addition, detection of tetrahydrocannabivarin (THCV), an ingredient of the cannabis plant, via GC/MS can be used to distinguish between consumption of dronabinol and natural cannabis products.23 The Table16-21 summarizes the prototype agents, other detectable agents in the same class, and false positives and negatives in immunoassays.
Interpreting UDT results and management strategies
Our Algorithm outlines how to interpret UDT results, and management strategies to consider based on whether the results are as expected or unexpected, with a few key caveats as described below.
Expected results
If there are no concerns based on the patient’s clinical presentation or collateral information, simply continue the current treatment. However, for patients taking medications that are undetectable by UDS (for example, regular use of clonazepam or oxycodone), consider ordering confirmatory tests at least once to ensure compliance, even when UDS results are negative.
Unexpected positive results, including the presence of illicit drugs and/or unprescribed licit drugs
Drug misuse, abuse, or dependence. The first step is to talk with the patient, who may acknowledge drug misuse, abuse, or dependence. Next, consider modifying the treatment plan; this may include more frequent monitoring and visits, limiting or discontinuing prescribed controlled substances, or referring the patient to inpatient or outpatient SUD treatment, as appropriate.
Continue to: Interference from medications or diet
Interference from medications or diets. One example of a positive opioid screening result due to interference from diet is the consumption of foods that contain poppy seeds. Because of this potential interference, the cutoff value for a positive opioid immunoassay in workplace drug testing was increased from 300 to 2,000 ug/L.24 Educating patients regarding medication and lifestyle choices can help them avoid any interference with drug monitoring. Confirmatory tests can be ordered at the clinician’s discretion. The same principle applies to medication choice when prescribing. For example, a patient taking bupropion may experience a false positive result on a UDS for amphetamines, and a different antidepressant might be a better choice (Box 1).
Box 1
A patient with methamphetamine use disorder asked his psychiatrist for a letter to his probation officer because his recent urine drug screening (UDS) was positive for amphetamine. At a previous visit, the patient had been started on bupropion for depression and methamphetamine use disorder. After his most recent positive UDS, the patient stopped taking bupropion because he was aware that bupropion could cause a false-positive result on amphetamine screening. However, the psychiatrist could not confirm the results of the UDS, because he did not have the original sample for confirmatory testing. In this case, starting the patient on bupropion may not have been the best option without contacting the patient’s probation officer to discuss a good strategy for distinguishing true vs false-positive UDS results.
Urine sample tampering. Consider the possibility that urine samples could be substituted, especially when there are signs or indications of tampering, such as a positive pregnancy test for a male patient, or the presence of multiple prescription medications not prescribed to the patient. If there is high suspicion of urine sample tampering, consider observed urine sample collection.
When to order confirmatory tests for unexpected positive results.
Order a confirmatory test if a patient adamantly denies taking the substance(s) for which he/she has screened positive, and there’s no other explanation for the positive result. Continue the patient’s current treatment if the confirmatory test is negative. However, if the confirmatory test is positive, then modify the treatment plan (Algorithm).
Special circumstances.
A positive opioid screen in a patient who has been prescribed a synthetic or semisynthetic opioid indicates the patient is likely using opioids other than the one he/she has been prescribed. Similarly, clonazepam is expected to be negative in a benzodiazepine immunoassay. If such testing is positive, consider the possibility that the patient is taking other benzodiazepines, such as diazepam. The results of UDTs can also be complicated by common metabolites in the same class of drugs. For example, the presence of hydromorphone for patients taking hydrocodone does not necessarily indicate the use of hydromorphone, because hydromorphone is a metabolite of hydrocodone (Figure 215).
Unexpected negative results
Prescribed medications exist in low concentration that are below the UDS detection threshold. This unexpected UDS result could occur if patients:
- take their medications less often than prescribed (because of financial difficulties or the patient feels better and does not think he/she needs it, etc.)
- hydrate too much (intentionally or unintentionally), are pregnant, or are fast metabolizers (Box 2)
- take other medications that increase the metabolism of the prescribed medication.
Box 2
A patient with opioid use disorder kept requesting a higher dose of methadone due to poorly controlled cravings. Even after he was observed taking methadone by the clinic staff, he was negative for methadone in immunoassay screening, and had a very low level of methadone based on liquid chromatography/mass spectrometry. Pharmacogenetic testing revealed that the patient was a cytochrome P450 2B6 ultra-rapid metabolizer; 2B6 is a primary metabolic enzyme for methadone. He also had a high concentration of 2-ethylidene- 1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP), the primary metabolite of methadone, which was consistent with increased methadone metabolism.
Continue to: Further inquiry will...
Further inquiry will clarify these concerns. Clinicians should educate patients and manage accordingly. Confirmatory tests may be ordered upon clinicians’ discretion.
Urine sample tampering. Dilution or substitution of urine samples may lead to unexpected negative results. Usually, the urine sample will have abnormal parameters, including temperature, pH, specific gravity, urine creatinine level, or detection of adulterants. If needed, consider observed urine sample collection. Jaffee et al25 reviewed tampering methods in urine drug testing.
Diversion or binge use of medications. If patients adamantly deny diverting or binge using their medication, order confirmatory tests. If the confirmatory test also is negative, modify the treatment plan accordingly, and consider the following options:
- adjust the medication dosage or frequency
- discontinue the medication
- conduct pill counts for more definitive evidence of diversion or misuse, especially if discontinuation may lead to potential harm (for example, for patients prescribed buprenorphine for opioid use disorder).
When to order confirmatory tests for unexpected negative results.
Because confirmatory tests also measure drug concentrations, clinicians sometimes order serial confirmatory testing to monitor lipophilic drugs after a patient reports discontinuation, such as in the case of a patient using marijuana, ketamine, or alprazolam. The level of a lipophilic drug, such as these 3, should continue to decline if the patient has discontinued using it. However, because the drug level is affected by how concentrated the urine samples are, it is necessary to compare the ratios of drug levels over urine creatinine levels.26 Another use for confirmatory-quantitative testing is to detect “urine spiking,”27,28 when a patient adds an unconsumed drug to his/her urine sample to produce a positive result without actually taking the drug (Box 3).
Box 3
On a confirmatory urine drug test, a patient taking buprenorphine/naloxone had a very high level of buprenorphine, but almost no norbuprenorphine (a metabolite of buprenorphine). After further discussion with the clinician, the patient admitted that he had dipped his buprenorphine/naltrexone pill in his urine sample (“spiking”) to disguise the fact that he stopped taking buprenorphine/naloxone several days ago in an effort to get high from taking opioids.
When to consult lab specialists
Because many clinicians may find it challenging to stay abreast of all of the factors necessary to properly interpret UDT results, consulting with qualified laboratory professionals is appropriate when needed. For example, a patient was prescribed codeine, and his UDTs showed morphine as anticipated; however, the prescribing clinician suspected that the patient was also using heroin. In this case, consultation with a specialist may be warranted to look for 6-mono-acetylemorphine (6-MAM, a unique heroin metabolite) and/or the ratio of morphine to codeine.
Continue to: In summary...
In summary, UDTs are important tools to use in general psychiatry practice, especially when prescribing controlled substances. To use UDTs effectively, it is essential to possess knowledge of drug metabolism and the limitations of these tests. All immunoassay results should be considered as presumptive, and confirmatory tests are often needed for making treatment decisions. Many clinicians are unlikely to possess all the knowledge needed to correctly interpret UDTs, and in some cases, communication with qualified laboratory professionals may be necessary. In addition, the patient’s history and clinical presentation, collateral information, and data from prescription drug monitoring programs are all important factors to consider.
The cost of UDTs, variable insurance coverage, and a lack of on-site laboratory services can be deterrents to implementing UDTs as recommended. These factors vary significantly across regions, facilities, and insurance providers (see Related Resources). If faced with these issues and you expect to often need UDTs in your practice, consider using point-of-care UDTs as an alternative to improve access, convenience, and possibly cost.
Bottom Line
Urine drug tests (UDTs) should be standard clinical practice when prescribing controlled substances and treating patients with substance use disorders in the outpatient setting. Clinicians need to be knowledgeable about the limitations of UDTs, drug metabolism, and relevant patient history to interpret UDTs proficiently for optimal patient care. Consult laboratory specialists when needed to help interpret the results.
Related Resources
- Islam FA, Choudhry Z. Urine drug screens: Not just for job applicants. Current Psychiatry. 2018;17(12):43-44.
- HealthCare.gov. Health benefits & coverage: Mental health & substance abuse coverage. www.healthcare.gov/coverage/mental-health-substance-abuse-coverage/.
Drug Brand Names
Alprazolam • Xanax
Amphetamine • Adderall
Atomoxetine • Strattera
Buprenorphine • Subutex
Buprenorphine/naloxone • Suboxone, Zubsolv
Bupropion • Wellbutrin, Zyban
Chlordiazepoxide • Librium
Chlorpromazine • Thorazine
Clonazepam • Klonopin
Desipramine • Norpramin
Dextroamphetamine • Dexedrine, ProCentra
Diazepam • Valium
Doxepin • Silenor
Dronabinol • Marinol
Efavirenz • Sustiva
Ephedrine • Akovaz
Fentanyl • Actiq, Duragesic
Flurazepam • Dalmane
Hydrocodone • Hysingla, Zohydro ER
Hydromorphone • Dilaudid, Exalgo
Labetalol • Normodyne, Trandate
Lamotrigine • Lamictal
Lisdexamfetamine • Vyvanse
Lithium • Eskalith, Lithobid
Lorazepam • Ativan
Meperidine • Demerol
Metformin • Fortamet, Glucophage
Methadone • Dolophine, Methadose
Methylphenidate • Ritalin
Midazolam • Versed
Morphine • Kadian, MorphaBond
Nabilone • Cesamet
Naltrexone • Vivitrol
Oxaprozin • Daypro
Oxazepam • Serax
Oxycodone • Oxycontin
Oxymorphone • Opana
Phentermine • Adipex-P, Ionamin
Promethazine • Phenergan
Quetiapine • Seroquel
Ranitidine • Zantac
Rifampicin • Rifadin
Selegiline • Eldepryl, Zelapar
Sertraline • Zoloft
Temazepam • Restoril
Thioridazine • Mellaril
Tramadol • Conzip, Ultram
Trazodone • Desyrel
Triazolam • Halcion
Venlafaxine • Effexor
Verapamil • Calan, Verelan
Zolpidem • Ambien
Urine drug tests (UDTs) are useful clinical tools for assessing and monitoring the risk of misuse, abuse, and diversion when prescribing controlled substances, or for monitoring abstinence in patients with substance use disorders (SUDs). However, UDTs have been underutilized, and have been used without systematic documentation of reasons and results.1,2 In addition, many clinicians may lack the knowledge needed to effectively interpret test results.3,4 Although the reported use of UDTs is much higher among clinicians who are members of American Society of Addiction Medicine (ASAM), there is still a need for improved education.5
The appropriate use of UDTs strengthens the therapeutic relationship and promotes healthy behaviors and patients’ recovery. On the other hand, incorrect interpretation of test results may lead to missing potential aberrant behaviors, or inappropriate consequences for patients, such as discontinuing necessary medications or discharging them from care secondary to a perceived violation of a treatment contract due to unexpected positive or negative drug screening results.6 In this article, we review the basic concepts of UDTs and provide an algorithm to determine when to order these tests, how to interpret the results, and how to modify treatment accordingly.
Urine drug tests 101
Urine drug tests include rapid urine drug screening (UDS) and confirmatory tests. Urine drug screenings are usually based on various types of immunoassays. They are fast, sensitive, and cost-effective. Because immunoassa
Urine drug tests based on mass spectrometry, gas chromatography/mass spectrometry (GC/MS), and liquid chromatography/mass spectrometry (LC/MS) are gold standards to confirm toxicology results. They are highly sensitive and specific, with accurate quantitative measurement. However, they are more expensive than UDS and usually need to be sent to a laboratory with capacity to perform GC/MS or LC/MS, with a turnaround time of up to 1 week.8 In clinical practice, we usually start with UDS tests and order confirmatory tests when needed.
When to order UDTs in outpatient psychiatry
On December 12, 2013, the ASAM released a white paper that suggests the use of drug testing as a primary prevention, diagnostic, and monitoring tool in the management of addiction or drug misuse and its application in a wide variety of medical settings.9 Many clinicians use treatment contracts when prescribing controlled substances as a part of a risk-mitigation strategy, and these contracts often include the use of UDTs. Urine drug tests provide objective evidence to support or negate self-report, because many people may underreport their use.10 The literature has shown significant “abnormal” urine test results, ranging from 9% to 53%, in patients receiving chronic opioid therapy.2,11
The CDC and the American Academy of Pain Medicine recommend UDS before initiating any controlled substance for pain therapy.12,13 They also suggest random drug testing at least once or twice a year for low-risk patients, and more frequent screening for high-risk patients, such as those with a history of addiction.12,13 For example, for patients with opioid use disorder who participate in a methadone program, weekly UDTs are mandated for the first 90 days, and at least 8 UDTs a year are required after that.
However, UDTs carry significant stigma due to their association with SUDs. Talking with patients from the start of treatment helps to reduce this stigma, and makes it easier to have further discussions when patients have unexpected results during treatment. For example, clinicians can explain to patients that monitoring UDTs when prescribing controlled substances is similar to monitoring thyroid function with lithium use because treatment with a controlled substance carries an inherent risk of misuse, abuse, and diversion. For patients with SUDs, clinicians can explain that using UDTs to monitor their abstinence is similar to monitoring HbA1c for glucose control in patients with diabetes.
Continue to: Factors that can affect UDT results
Factors that can affect UDT results
In addition to knowing when to order UDT, it is critical to know how to interpret the results of UDS and follow up with confirmatory tests when needed. Other than the limitations of the tests, the following factors could contribute to unexpected UDT results:
- the drug itself, including its half-life, metabolic pathways, and potential interactions with other medications
- how patients take their medications, including dose, frequency, and pattern of drug use
- all the medications that patients are taking, including prescription, over-the-counter, and herbal and supplemental preparations
- when the last dose of a prescribed controlled substance was taken. Always ask when the patient’s last dose was taken before you consider ordering a UDT.
To help better understand UDT results, Figure 114 and Figure 215 demonstrate metabolic pathways of commonly used benzodiazepines and opioids, respectively. There are several comprehensive reviews on commonly seen false positives and negatives for each drug or each class of drugs in immunoassays.16-21 Confirmatory tests are usually very accurate. However, chiral analysis is needed to differentiate enantiomers, such as methamphetamine (active R-enantiomer) and selegiline, which is metabolized into L-methamphetamine (inactive S-enantiomer).22 In addition, detection of tetrahydrocannabivarin (THCV), an ingredient of the cannabis plant, via GC/MS can be used to distinguish between consumption of dronabinol and natural cannabis products.23 The Table16-21 summarizes the prototype agents, other detectable agents in the same class, and false positives and negatives in immunoassays.
Interpreting UDT results and management strategies
Our Algorithm outlines how to interpret UDT results, and management strategies to consider based on whether the results are as expected or unexpected, with a few key caveats as described below.
Expected results
If there are no concerns based on the patient’s clinical presentation or collateral information, simply continue the current treatment. However, for patients taking medications that are undetectable by UDS (for example, regular use of clonazepam or oxycodone), consider ordering confirmatory tests at least once to ensure compliance, even when UDS results are negative.
Unexpected positive results, including the presence of illicit drugs and/or unprescribed licit drugs
Drug misuse, abuse, or dependence. The first step is to talk with the patient, who may acknowledge drug misuse, abuse, or dependence. Next, consider modifying the treatment plan; this may include more frequent monitoring and visits, limiting or discontinuing prescribed controlled substances, or referring the patient to inpatient or outpatient SUD treatment, as appropriate.
Continue to: Interference from medications or diet
Interference from medications or diets. One example of a positive opioid screening result due to interference from diet is the consumption of foods that contain poppy seeds. Because of this potential interference, the cutoff value for a positive opioid immunoassay in workplace drug testing was increased from 300 to 2,000 ug/L.24 Educating patients regarding medication and lifestyle choices can help them avoid any interference with drug monitoring. Confirmatory tests can be ordered at the clinician’s discretion. The same principle applies to medication choice when prescribing. For example, a patient taking bupropion may experience a false positive result on a UDS for amphetamines, and a different antidepressant might be a better choice (Box 1).
Box 1
A patient with methamphetamine use disorder asked his psychiatrist for a letter to his probation officer because his recent urine drug screening (UDS) was positive for amphetamine. At a previous visit, the patient had been started on bupropion for depression and methamphetamine use disorder. After his most recent positive UDS, the patient stopped taking bupropion because he was aware that bupropion could cause a false-positive result on amphetamine screening. However, the psychiatrist could not confirm the results of the UDS, because he did not have the original sample for confirmatory testing. In this case, starting the patient on bupropion may not have been the best option without contacting the patient’s probation officer to discuss a good strategy for distinguishing true vs false-positive UDS results.
Urine sample tampering. Consider the possibility that urine samples could be substituted, especially when there are signs or indications of tampering, such as a positive pregnancy test for a male patient, or the presence of multiple prescription medications not prescribed to the patient. If there is high suspicion of urine sample tampering, consider observed urine sample collection.
When to order confirmatory tests for unexpected positive results.
Order a confirmatory test if a patient adamantly denies taking the substance(s) for which he/she has screened positive, and there’s no other explanation for the positive result. Continue the patient’s current treatment if the confirmatory test is negative. However, if the confirmatory test is positive, then modify the treatment plan (Algorithm).
Special circumstances.
A positive opioid screen in a patient who has been prescribed a synthetic or semisynthetic opioid indicates the patient is likely using opioids other than the one he/she has been prescribed. Similarly, clonazepam is expected to be negative in a benzodiazepine immunoassay. If such testing is positive, consider the possibility that the patient is taking other benzodiazepines, such as diazepam. The results of UDTs can also be complicated by common metabolites in the same class of drugs. For example, the presence of hydromorphone for patients taking hydrocodone does not necessarily indicate the use of hydromorphone, because hydromorphone is a metabolite of hydrocodone (Figure 215).
Unexpected negative results
Prescribed medications exist in low concentration that are below the UDS detection threshold. This unexpected UDS result could occur if patients:
- take their medications less often than prescribed (because of financial difficulties or the patient feels better and does not think he/she needs it, etc.)
- hydrate too much (intentionally or unintentionally), are pregnant, or are fast metabolizers (Box 2)
- take other medications that increase the metabolism of the prescribed medication.
Box 2
A patient with opioid use disorder kept requesting a higher dose of methadone due to poorly controlled cravings. Even after he was observed taking methadone by the clinic staff, he was negative for methadone in immunoassay screening, and had a very low level of methadone based on liquid chromatography/mass spectrometry. Pharmacogenetic testing revealed that the patient was a cytochrome P450 2B6 ultra-rapid metabolizer; 2B6 is a primary metabolic enzyme for methadone. He also had a high concentration of 2-ethylidene- 1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP), the primary metabolite of methadone, which was consistent with increased methadone metabolism.
Continue to: Further inquiry will...
Further inquiry will clarify these concerns. Clinicians should educate patients and manage accordingly. Confirmatory tests may be ordered upon clinicians’ discretion.
Urine sample tampering. Dilution or substitution of urine samples may lead to unexpected negative results. Usually, the urine sample will have abnormal parameters, including temperature, pH, specific gravity, urine creatinine level, or detection of adulterants. If needed, consider observed urine sample collection. Jaffee et al25 reviewed tampering methods in urine drug testing.
Diversion or binge use of medications. If patients adamantly deny diverting or binge using their medication, order confirmatory tests. If the confirmatory test also is negative, modify the treatment plan accordingly, and consider the following options:
- adjust the medication dosage or frequency
- discontinue the medication
- conduct pill counts for more definitive evidence of diversion or misuse, especially if discontinuation may lead to potential harm (for example, for patients prescribed buprenorphine for opioid use disorder).
When to order confirmatory tests for unexpected negative results.
Because confirmatory tests also measure drug concentrations, clinicians sometimes order serial confirmatory testing to monitor lipophilic drugs after a patient reports discontinuation, such as in the case of a patient using marijuana, ketamine, or alprazolam. The level of a lipophilic drug, such as these 3, should continue to decline if the patient has discontinued using it. However, because the drug level is affected by how concentrated the urine samples are, it is necessary to compare the ratios of drug levels over urine creatinine levels.26 Another use for confirmatory-quantitative testing is to detect “urine spiking,”27,28 when a patient adds an unconsumed drug to his/her urine sample to produce a positive result without actually taking the drug (Box 3).
Box 3
On a confirmatory urine drug test, a patient taking buprenorphine/naloxone had a very high level of buprenorphine, but almost no norbuprenorphine (a metabolite of buprenorphine). After further discussion with the clinician, the patient admitted that he had dipped his buprenorphine/naltrexone pill in his urine sample (“spiking”) to disguise the fact that he stopped taking buprenorphine/naloxone several days ago in an effort to get high from taking opioids.
When to consult lab specialists
Because many clinicians may find it challenging to stay abreast of all of the factors necessary to properly interpret UDT results, consulting with qualified laboratory professionals is appropriate when needed. For example, a patient was prescribed codeine, and his UDTs showed morphine as anticipated; however, the prescribing clinician suspected that the patient was also using heroin. In this case, consultation with a specialist may be warranted to look for 6-mono-acetylemorphine (6-MAM, a unique heroin metabolite) and/or the ratio of morphine to codeine.
Continue to: In summary...
In summary, UDTs are important tools to use in general psychiatry practice, especially when prescribing controlled substances. To use UDTs effectively, it is essential to possess knowledge of drug metabolism and the limitations of these tests. All immunoassay results should be considered as presumptive, and confirmatory tests are often needed for making treatment decisions. Many clinicians are unlikely to possess all the knowledge needed to correctly interpret UDTs, and in some cases, communication with qualified laboratory professionals may be necessary. In addition, the patient’s history and clinical presentation, collateral information, and data from prescription drug monitoring programs are all important factors to consider.
The cost of UDTs, variable insurance coverage, and a lack of on-site laboratory services can be deterrents to implementing UDTs as recommended. These factors vary significantly across regions, facilities, and insurance providers (see Related Resources). If faced with these issues and you expect to often need UDTs in your practice, consider using point-of-care UDTs as an alternative to improve access, convenience, and possibly cost.
Bottom Line
Urine drug tests (UDTs) should be standard clinical practice when prescribing controlled substances and treating patients with substance use disorders in the outpatient setting. Clinicians need to be knowledgeable about the limitations of UDTs, drug metabolism, and relevant patient history to interpret UDTs proficiently for optimal patient care. Consult laboratory specialists when needed to help interpret the results.
Related Resources
- Islam FA, Choudhry Z. Urine drug screens: Not just for job applicants. Current Psychiatry. 2018;17(12):43-44.
- HealthCare.gov. Health benefits & coverage: Mental health & substance abuse coverage. www.healthcare.gov/coverage/mental-health-substance-abuse-coverage/.
Drug Brand Names
Alprazolam • Xanax
Amphetamine • Adderall
Atomoxetine • Strattera
Buprenorphine • Subutex
Buprenorphine/naloxone • Suboxone, Zubsolv
Bupropion • Wellbutrin, Zyban
Chlordiazepoxide • Librium
Chlorpromazine • Thorazine
Clonazepam • Klonopin
Desipramine • Norpramin
Dextroamphetamine • Dexedrine, ProCentra
Diazepam • Valium
Doxepin • Silenor
Dronabinol • Marinol
Efavirenz • Sustiva
Ephedrine • Akovaz
Fentanyl • Actiq, Duragesic
Flurazepam • Dalmane
Hydrocodone • Hysingla, Zohydro ER
Hydromorphone • Dilaudid, Exalgo
Labetalol • Normodyne, Trandate
Lamotrigine • Lamictal
Lisdexamfetamine • Vyvanse
Lithium • Eskalith, Lithobid
Lorazepam • Ativan
Meperidine • Demerol
Metformin • Fortamet, Glucophage
Methadone • Dolophine, Methadose
Methylphenidate • Ritalin
Midazolam • Versed
Morphine • Kadian, MorphaBond
Nabilone • Cesamet
Naltrexone • Vivitrol
Oxaprozin • Daypro
Oxazepam • Serax
Oxycodone • Oxycontin
Oxymorphone • Opana
Phentermine • Adipex-P, Ionamin
Promethazine • Phenergan
Quetiapine • Seroquel
Ranitidine • Zantac
Rifampicin • Rifadin
Selegiline • Eldepryl, Zelapar
Sertraline • Zoloft
Temazepam • Restoril
Thioridazine • Mellaril
Tramadol • Conzip, Ultram
Trazodone • Desyrel
Triazolam • Halcion
Venlafaxine • Effexor
Verapamil • Calan, Verelan
Zolpidem • Ambien
1. Passik SD, Schreiber J, Kirsh KL, et al. A chart review of the ordering and documentation of urine toxicology screens in a cancer center: do they influence patient management? J Pain Symptom Manag. 2000;19(1):40-44.
2. Arthur JA, Edwards T, Lu Z, et al. Frequency, predictors, and outcomes of urine drug testing among patients with advanced cancer on chronic opioid therapy at an outpatient supportive care clinic. Cancer. 2016;122(23):3732-3739.
3. Suzuki JM, Garayalde SM, Dodoo MM, et al. Psychiatry residents’ and fellows’ confidence and knowledge in interpreting urine drug testing results related to opioids. Subst Abus. 2018;39(4):518-521.
4. Reisfield GM, Bertholf R, Barkin RL, et al. Urine drug test interpretation: what do physicians know? J Opioid Manag. 2007;3(2):80-86.
5. Kirsh KL, Baxter LE, Rzetelny A, et al. A survey of ASAM members’ knowledge, attitudes, and practices in urine drug testing. J Addict Med. 2015;9(5):399-404.
6. Morasco BJ, Krebs EE, Adams MH, et al. Clinician response to aberrant urine drug test results of patients prescribed opioid therapy for chronic pain. Clin J Pain. 2019;35(1):1-6.
7. Liu RH. Comparison of common immunoassay kits for effective application in workplace drug urinalysis. Forensic Sci Rev. 1994;6(1):19-57.
8. Jannetto PJ, Fitzgerald RL. Effective use of mass spectrometry in the clinical laboratory. Clin Chem. 2016;62(1):92-98.
9. American Society of Addiction Medicine. Resources: ASAM releases white paper on drug testing. https://www.asam.org/resources/publications/magazine/read/article/2013/12/16/asam-releases-white-paper-on-drug-testing. Published December 16, 2019. Accessed June 25, 2019.
10. Fishbain DA, Cutler RB, Rosomoff HL, et al. Validity of self-reported drug use in chronic pain patients. Clin J Pain. 1999;15(3):184-191.
11. Michna E, Jamison RN, Pham LD, et al. Urine toxicology screening among chronic pain patients on opioid therapy: Frequency and predictability of abnormal findings. Clin J Pain. 2007;23(2):173-179.
12. Dowell D, Haegerich TM, Chou R. CDC guideline for prescribing opioids for chronic pain--United States, 2016. JAMA. 2016;315(15):1624-1645.
13. Chou R. 2009 clinical guidelines from the American Pain Society and the American Academy of Pain medicine on the use of chronic opioid therapy in chronic noncancer pain: what are the key messages for clinical practice? Pol Arch Med Wewn. 2009;119(7-8):469-477.
14. Mihic SJ, Harris RA. Hypnotics and sedatives. In: Brunton LL, Chabner BA, Knollmann BC, eds. Goodman & Gilman’s the pharmacological basis of therapeutics. 13th ed. New York, NY: McGrawHill Medical; 2017:343-344.
15. DePriest AZ, Puet BL, Holt AC, et al. Metabolism and disposition of prescription opioids: a review. Forensic Sci Rev. 2015;27(2):115-145.
16. Tenore PL. Advanced urine toxicology testing. J Addict Dis. 2010;29(4):436-448.
17. Brahm NC, Yeager LL, Fox MD, et al. Commonly prescribed medications and potential false-positive urine drug screens. Am J Health Syst Pharm. 2010;67(16):1344-1350.
18. Saitman A, Park HD, Fitzgerald RL. False-positive interferences of common urine drug screen immunoassays: a review. J Anal Toxicol. 2014;38(7):387-396.
19. Moeller KE, Kissack JC, Atayee RS, et al. Clinical interpretation of urine drug tests: what clinicians need to know about urine drug screens. Mayo Clin Proc. 2017;92(5):774-796.
20. Nelson ZJ, Stellpflug SJ, Engebretsen KM. What can a urine drug screening immunoassay really tell us? J Pharm Pract. 2016;29(5):516-526.
21. Reisfield GM, Goldberger BA, Bertholf RL. ‘False-positive’ and ‘false-negative’ test results in clinical urine drug testing. Bioanalysis. 2009;1(5):937-952.
22. Poklis A, Moore KA. Response of EMIT amphetamine immunoassays to urinary desoxyephedrine following Vicks inhaler use. Ther Drug Monit. 1995;17(1):89-94.
23. ElSohly MA, Feng S, Murphy TP, et al. Identification and quantitation of 11-nor-delta9-tetrahydrocannabivarin-9-carboxylic acid, a major metabolite of delta9-tetrahydrocannabivarin. J Anal Toxicol. 2001;25(6):476-480.
24. Selavka CM. Poppy seed ingestion as a contributing factor to opiate-positive urinalysis results: the pacific perspective. J Forensic Sci. 1991;36(3):685-696.
25. Jaffee WB, Trucco E, Levy S, et al. Is this urine really negative? A systematic review of tampering methods in urine drug screening and testing. J Subst Abuse Treat. 2007;33(1):33-42.
26. Fraser AD, Worth D. Urinary excretion profiles of 11-nor-9-carboxy-delta9-tetrahydrocannabinol: a delta9-thccooh to creatinine ratio study. J Anal Toxicol. 1999;23(6):531-534.
27. Holt SR, Donroe JH, Cavallo DA, et al. Addressing discordant quantitative urine buprenorphine and norbuprenorphine levels: case examples in opioid use disorder. Drug Alcohol Depend. 2018;186:171-174.
28. Accurso AJ, Lee JD, McNeely J. High prevalence of urine tampering in an office-based opioid treatment practice detected by evaluating the norbuprenorphine to buprenorphine ratio. J Subst Abuse Treat. 2017;83:62-67.
1. Passik SD, Schreiber J, Kirsh KL, et al. A chart review of the ordering and documentation of urine toxicology screens in a cancer center: do they influence patient management? J Pain Symptom Manag. 2000;19(1):40-44.
2. Arthur JA, Edwards T, Lu Z, et al. Frequency, predictors, and outcomes of urine drug testing among patients with advanced cancer on chronic opioid therapy at an outpatient supportive care clinic. Cancer. 2016;122(23):3732-3739.
3. Suzuki JM, Garayalde SM, Dodoo MM, et al. Psychiatry residents’ and fellows’ confidence and knowledge in interpreting urine drug testing results related to opioids. Subst Abus. 2018;39(4):518-521.
4. Reisfield GM, Bertholf R, Barkin RL, et al. Urine drug test interpretation: what do physicians know? J Opioid Manag. 2007;3(2):80-86.
5. Kirsh KL, Baxter LE, Rzetelny A, et al. A survey of ASAM members’ knowledge, attitudes, and practices in urine drug testing. J Addict Med. 2015;9(5):399-404.
6. Morasco BJ, Krebs EE, Adams MH, et al. Clinician response to aberrant urine drug test results of patients prescribed opioid therapy for chronic pain. Clin J Pain. 2019;35(1):1-6.
7. Liu RH. Comparison of common immunoassay kits for effective application in workplace drug urinalysis. Forensic Sci Rev. 1994;6(1):19-57.
8. Jannetto PJ, Fitzgerald RL. Effective use of mass spectrometry in the clinical laboratory. Clin Chem. 2016;62(1):92-98.
9. American Society of Addiction Medicine. Resources: ASAM releases white paper on drug testing. https://www.asam.org/resources/publications/magazine/read/article/2013/12/16/asam-releases-white-paper-on-drug-testing. Published December 16, 2019. Accessed June 25, 2019.
10. Fishbain DA, Cutler RB, Rosomoff HL, et al. Validity of self-reported drug use in chronic pain patients. Clin J Pain. 1999;15(3):184-191.
11. Michna E, Jamison RN, Pham LD, et al. Urine toxicology screening among chronic pain patients on opioid therapy: Frequency and predictability of abnormal findings. Clin J Pain. 2007;23(2):173-179.
12. Dowell D, Haegerich TM, Chou R. CDC guideline for prescribing opioids for chronic pain--United States, 2016. JAMA. 2016;315(15):1624-1645.
13. Chou R. 2009 clinical guidelines from the American Pain Society and the American Academy of Pain medicine on the use of chronic opioid therapy in chronic noncancer pain: what are the key messages for clinical practice? Pol Arch Med Wewn. 2009;119(7-8):469-477.
14. Mihic SJ, Harris RA. Hypnotics and sedatives. In: Brunton LL, Chabner BA, Knollmann BC, eds. Goodman & Gilman’s the pharmacological basis of therapeutics. 13th ed. New York, NY: McGrawHill Medical; 2017:343-344.
15. DePriest AZ, Puet BL, Holt AC, et al. Metabolism and disposition of prescription opioids: a review. Forensic Sci Rev. 2015;27(2):115-145.
16. Tenore PL. Advanced urine toxicology testing. J Addict Dis. 2010;29(4):436-448.
17. Brahm NC, Yeager LL, Fox MD, et al. Commonly prescribed medications and potential false-positive urine drug screens. Am J Health Syst Pharm. 2010;67(16):1344-1350.
18. Saitman A, Park HD, Fitzgerald RL. False-positive interferences of common urine drug screen immunoassays: a review. J Anal Toxicol. 2014;38(7):387-396.
19. Moeller KE, Kissack JC, Atayee RS, et al. Clinical interpretation of urine drug tests: what clinicians need to know about urine drug screens. Mayo Clin Proc. 2017;92(5):774-796.
20. Nelson ZJ, Stellpflug SJ, Engebretsen KM. What can a urine drug screening immunoassay really tell us? J Pharm Pract. 2016;29(5):516-526.
21. Reisfield GM, Goldberger BA, Bertholf RL. ‘False-positive’ and ‘false-negative’ test results in clinical urine drug testing. Bioanalysis. 2009;1(5):937-952.
22. Poklis A, Moore KA. Response of EMIT amphetamine immunoassays to urinary desoxyephedrine following Vicks inhaler use. Ther Drug Monit. 1995;17(1):89-94.
23. ElSohly MA, Feng S, Murphy TP, et al. Identification and quantitation of 11-nor-delta9-tetrahydrocannabivarin-9-carboxylic acid, a major metabolite of delta9-tetrahydrocannabivarin. J Anal Toxicol. 2001;25(6):476-480.
24. Selavka CM. Poppy seed ingestion as a contributing factor to opiate-positive urinalysis results: the pacific perspective. J Forensic Sci. 1991;36(3):685-696.
25. Jaffee WB, Trucco E, Levy S, et al. Is this urine really negative? A systematic review of tampering methods in urine drug screening and testing. J Subst Abuse Treat. 2007;33(1):33-42.
26. Fraser AD, Worth D. Urinary excretion profiles of 11-nor-9-carboxy-delta9-tetrahydrocannabinol: a delta9-thccooh to creatinine ratio study. J Anal Toxicol. 1999;23(6):531-534.
27. Holt SR, Donroe JH, Cavallo DA, et al. Addressing discordant quantitative urine buprenorphine and norbuprenorphine levels: case examples in opioid use disorder. Drug Alcohol Depend. 2018;186:171-174.
28. Accurso AJ, Lee JD, McNeely J. High prevalence of urine tampering in an office-based opioid treatment practice detected by evaluating the norbuprenorphine to buprenorphine ratio. J Subst Abuse Treat. 2017;83:62-67.
Strategies for improving ADHD medication adherence
Attention-deficit/hyperactivity disorder (ADHD) is the most common childhood neurodevelopmental disorder, affecting 8% to 12% of school-aged children in the United States1-3 with significant impairments that often persist into adulthood.4-8 Current guidelines recommend stimulant medication and/or behavioral therapies as first-line treatments for ADHD.9,10 There is a wealth of evidence on the efficacy of stimulants in ADHD, with the most significant effects noted on core ADHD symptoms.11,12 Additional evidence links stimulants to decreased long-term negative outcomes, including reduced school absences and grade retention,13 as well as modestly but significantly improved reading and math scores.14 Other studies have reported that individuals with ADHD who receive medication have decreased criminality,15,16 motor vehicle accidents,17,18 injuries,19 substance abuse,20-22 and risk for subsequent and concurrent depression.23 Therefore, the evidence suggests that consistent medication treatment helps improve outcomes for individuals with ADHD.
Adherence is defined as “the extent to which a person’s behavior (eg, taking medication) corresponds with agreed recommendations from a clinician.”24 Unfortunately, pediatric ADHD medication adherence has been found to be poor (approximately 64%).25-30 Nonadherence to ADHD medication has been linked to multiple factors, including caregiver/family and child/adolescent factors (Table 1), medication-related factors (Table 2), and health care/system factors (Table 3). Understanding and addressing these factors is essential to maximizing long-term outcomes. In this article, we review the factors associated with nonadherence to ADHD medication, and outline strategies to improve adherence.
Caregiver/family characteristics
Caregiver beliefs about ADHD and their attitudes toward treatment have been associated with the initiation of and adherence to ADHD medication. For example, caregivers who view a child’s difficulties as a medical disorder that requires a biologic intervention are more likely to accept and adhere to medication.31 Similarly, caregivers who perceive ADHD medication as safe, effective, and socially acceptable are more likely to be treatment-adherent.32-35
- increased caregiver knowledge about ADHD33
- receiving an ADHD diagnosis based on a thorough diagnostic process (ie, comprehensive psychological testing)36
- satisfaction with information about medicine
- comfort with the treatment plan.34
Socioeconomic status, family functioning, and caregiver mental health diagnoses (eg, ADHD, depression) have also been linked to ADHD medication adherence. Several studies, including the Multimodal Treatment Study of Children with ADHD,11 a landmark study of stimulant medication for children with ADHD, have found an association between low income and decreased likelihood of receiving ADHD medication.2,37-39 Further, Gau et al40 found that negative caregiver-child relationships and family dysfunction were associated with poor medication adherence in children with ADHD.9 Prior studies have also shown that mothers of children with ADHD are more likely to have depression and/or anxiety,41,42 and that caregivers with a history of mental health diagnoses are more accepting of initiating medication treatment for their children.43 However, additional studies have found that caregiver mental health diagnoses decreased the likelihood of ADHD medication adherence.40,44
Child characteristics
Child characteristics associated with decreased ADHD medication adherence include older age (eg, adolescents vs school-aged children),29,30,34,40,45-47 non-White race, Hispanic ethnicity,29,33,48-51 female gender,29,33,52 lower baseline ADHD symptom severity,30,37 and child unwillingness to take medications.34 However, prior studies have not been completely consistent about the relationship between child comorbid conditions (eg, oppositional defiant disorder [ODD], conduct disorder) and ADHD medication adherence. A few studies found that child comorbid conditions, especially ODD, mediate poor ADHD medication adherence, possibly secondary to an increased caregiver-child conflict.30,53,54 However, other studies have reported that the presence of comorbid ODD, depression, and anxiety predicted increased adherence to ADHD medications.37,46
Medication-related factors
Adverse effects of medications are the most commonly cited reason for ADHD medication nonadherence
On the other hand, increased ADHD medication effectiveness has been associated with improved medication adherence.5,34,54-56 Medication titration and dosing factors have also been shown to affect adherence. Specifically, adherence has been improved when ADHD medications are titrated in a systematic manner soon after starting treatment, and when families have an early first contact with a physician after starting medication (within 3 months).28 In addition, use of a simplified dose regimen has been linked to better adherence: patients who are prescribed long-acting stimulants are more likely to adhere to treatment compared with patients who take short-acting formulations.26,40,49,61-63 It is possible that long-acting stimulants increase adherence because they produce more even and sustained effects on ADHD symptoms throughout the day, compared with short-acting formulations.64 Furthermore, the inconvenience of taking multiple doses throughout the day, as well as the potential social stigma of mid-school day dosing, may negatively impact adherence to short-acting formulations.10
Continue to: Health care/system factors
Health care/system factors
Several studies have investigated the influence of health services factors on ADHD medication adherence. Specifically, limited transportation services and lack of mental health providers in the community have been linked to decreased ADHD medication adherence.47,65,66 Furthermore, limited insurance coverage and higher costs of ADHD medications, which lead to substantial out-of-pocket payments for families, have been associated with decreased likelihood of ADHD medication adherence.29,67
Clinician-related factors also can affect ADHD medication adherence. For example, a clinician’s lack knowledge of ADHD care can negatively impact ADHD medication adherence.68 Two studies have documented improved ADHD medication adherence when treatment is provided by specialists (eg, child psychiatrists) rather than by community primary care providers, possibly because specialists are more likely to provide close stimulant titration and monitoring (ie, ≥ 3 visits in the first 90 days) and use higher maximum doses.62,69 Furthermore, ADHD medication initiation and adherence are increased when patients have a strong working alliance with their clinician and trust the health care system,31,34,35 as well as when there is a match between the caregiver’s and clinician’s perception of the cause, course, and best treatment practices for a child’s ADHD.65
Strategies to improve medication adherence
A number of strategies to improve ADHD medication adherence can be derived from our knowledge of the factors that influence adherence.
Patient/family education. Unanswered questions about ADHD diagnosis, etiology, and medication adverse effects can negatively impact the ADHD treatment process. Therefore, patient/family education regarding ADHD and its management is necessary to improve medication adherence, because it helps families attain the knowledge, confidence, and motivation to manage their child’s condition.
Clinicians have an important role in educating patients about70:
- the medications they are taking
- why they are taking them
- what the medications look like
- the time of medication administration
- the potential adverse effects
- what to do if adverse effects occur
- what regular testing/monitoring is necessary.
Clinicians can provide appropriate psychoeducation by sharing written materials and trusted websites with families (see Related Resources).
Behavioral strategies. Behavioral interventions have been among the most effective strategies for improving medication adherence in other chronic conditions.71 Behavioral strategies are likely to be particularly important for families of children with ADHD and comorbid conditions such as ODD because these families experience considerable caregiver-child conflict.72 Moreover, parents of children with ADHD are at higher risk for having ADHD and depression themselves,73 both of which may interfere with a parent’s ability to obtain and administer medications consistently. Thus, for these families, using a combination of psychoeducation and behavioral strategies will be necessary to affect change in attitude and behavior. Behavioral strategies that can be used to improve medication adherence include:
- Technology-based interventions can reduce the impact of environmental barriers to adherence. For example, pharmacy automatic prescription renewal systems can reduce the likelihood of families failing to obtain ADHD medication refills. Pill reminder boxes, smartphone alerts, and setting various alarms can effectively prompt caregivers/patients to administer medication. In particular, these methods can be crucial in families for which multiple members have ADHD and its attendant difficulties with organization and task completion.
- Caregiver training may assist families in developing specific behavioral management skills that support adherence. This training can be as straightforward as instructing caregivers on the use of positive reinforcement when teaching their children to swallow pills. It may also encompass structured behavioral interventions aimed at training caregivers to utilize rewards and consequences in order to maximize medication adherence.74
Continue to: Clinician interventions
Clinician interventions. Clinicians can use decision aids to help inform families about treatment options, promote shared decision making, and decrease uncertainty about the treatment plan75 (see Related Resources). Early titration of ADHD medications and early first contact (within months of starting medication treatment) between caregivers and clinicians, whether via in-person visit, telephone, or email, have also been related to improved adherence.28 Furthermore, clinicians can improve adherence by prescribing a simplified medication regimen (ie, long-acting formulations that provide full-day coverage). To address the negative impact of high out-of-pocket ADHD medication costs on adherence, clinicians can also prescribe generic preparations and/or “preferred” medications options on an individual patient’s formulary.
Because clinician knowledge and expertise in ADHD care has been linked to improved patient medication adherence,68 clinicians are encouraged to use the American Academy of Pediatrics (AAP) guideline for diagnosis and treatment of ADHD, which includes a supplemental process of care algorithm (last published in 2011,10 with an updated guideline anticipated in 2019), as well as the AAP/National Institute for Children’s Health Quality (NICHQ) ADHD Toolkit,76 which includes items helpful for ADHD diagnosis and treatment. The Society for Developmental and Behavioral Pediatrics is also developing a clinical practice guideline for the diagnosis and treatment of complex ADHD (ie, ADHD complicated by coexisting mental health, developmental, and/or psychosocial conditions or issues), with publication anticipated in 2019. Primary care providers can also improve their expertise in ADHD care by pursuing additional mental health–related trainings (such as those conducted by the REACH Institute).77
Because receiving ADHD care from a specialist has been shown to improve medication initiation and adherence,62,69 other strategies to address the short supply of child psychiatrists include offering incentives to medical students to pursue a career in child psychiatry (eg, loan forgiveness). Telepsychiatry and co-location of mental health specialists and primary care providers are additional innovative ways in which ADHD specialty care can be delivered to more patients.64
Finally, providing culturally-sensitive care can strengthen the clinician-caregiver relationship and promote adherence to treatment. For example, clinicians can partner with local groups to increase their understanding of how different racial/ethnic groups perceive ADHD and its treatment.64
Peer support models. Peers are credible role models who have a valued role in facilitating the use of mental health services by empowering families and enhancing service satisfaction.78 In several communities in the United States, peer models using family advocates have been introduced.79 Family advocates are typically caregivers of children who have special needs or have been involved in the mental health system. Their perspective—as peers and first-hand consumers of the health care and/or mental health system—can make them powerful and effective coaches to families of children with ADHD. By helping families to navigate ADHD care systems successfully, family advocates can play an important role in enhancing ADHD medication adherence, although further investigation is needed. In addition, the stigma around ADHD medication use, which adversely impacts adherence, can be mitigated if caregivers participate in organized ADHD-related support groups (eg, Children and Adults with ADHD [CHADD]).
Continue to: Health disparity-reducing interventions
Health disparity-reducing interventions. Successful health disparity-reducing interventions—such as those developed to enhance care of other chronic disorders including asthma and diabetes—can be applied to improve ADHD care. These interventions, which include medical-legal partnerships (eg, between clinicians, social workers, legal advocates, and community partners) in primary care centers, have been shown to improve health insurance coverage and therefore health care access.80,81 Although some hardships linked to nonadherence (eg, low socioeconomic status) may not be amenable to health care–related interventions, screening for these hardships can identify children who are most at risk for poor adherence. This would alert clinicians to proactively identify barriers to adherence and implement mitigation strategies. This might include developing more streamlined, easier-to-follow management plans for these patients, such as those that can be delivered through pharmacist-physician collaborative programs82 and school-based therapy programs.83-85
Bottom Line
Suboptimal adherence to medications for attention-deficit/hyperactivity disorder (ADHD) can be addressed through patient/family education, behavioral strategies, clinician interventions, peer support models, and health disparity-reducing interventions. By improving ADHD treatment adherence, these interventions have the potential to maximize long-term outcomes.
Related Resources
- Cohen Children’s Medical Center Northwell Health. The ADHD Medication Guide. www.ADHDMedicationGuide.com. Revised December 31, 2017.
- Cincinnati Children’s Hospital Medical Center. Decision aids to facilitate shared decision making in practice. www.cincinnatichildrens.org/service/j/anderson-center/ evidence-based-care/decision-aids.
- CHADD. Children and Adults with attention-deficit/ hyperactivity disorder. www.chadd.org.
Drug Brand Name
Methylphenidate • Concerta, Ritalin
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55. Brinkman WB, Simon JO, Epstein JN. Reasons why children and adolescents with attention-deficit/hyperactivity disorder stop and restart taking medicine. Acad Pediatr. 2018;18(3):273-280.
56. Wehmeier PM, Dittmann RW, Banaschewski T. Treatment compliance or medication adherence in children and adolescents on ADHD medication in clinical practice: results from the COMPLY observational study. Atten Defic Hyperact Disord. 2015;7(2):165-174.
57. Frank E, Ozon C, Nair V, et al. Examining why patients with attention-deficit/hyperactivity disorder lack adherence to medication over the long term: a review and analysis. J Clin Psychiatry. 2015;76(11):e1459-e1468.
58. Pozzi M, Carnovale C, Peeters G, et al. Adverse drug events related to mood and emotion in paediatric patients treated for ADHD: a meta-analysis. J Affect Disord. 2018;238:161-178.
59. Stuckelman ZD, Mulqueen JM, Ferracioli-Oda E, et al. Risk of irritability with psychostimulant treatment in children with ADHD: a meta-analysis. J Clin Psychiatry. 2017;78(6):e648-e655.
60. Cortese S, Adamo N, Del Giovane C, et al. Comparative efficacy and tolerability of medications for attention-deficit hyperactivity disorder in children, adolescents, and adults: a systematic review and network meta-analysis. Lancet Psychiatry. 2018;5(9):727-738.
61. Lawson KA, Johnsrud M, Hodgkins P, et al. Utilization patterns of stimulants in ADHD in the Medicaid population: a retrospective analysis of data from the Texas Medicaid program. Clin Ther. 2012;34(4):944-956 e944.
62. Olfson M, Marcus S, Wan G. Stimulant dosing for children with ADHD: a medical claims analysis. J Am Acad Child Adolesc Psychiatry. 2009;48(1):51-59.
63. Jensen PS, Arnold LE, Swanson JM, et al. 3-year follow-up of the NIMH MTA study. J Am Acad Child Adolesc Psychiatry. 2007;46(8):989-1002.
64. Van Cleave J, Leslie LK. Approaching ADHD as a chronic condition: implications for long-term adherence. Pediatr Ann. 2008;37(1):19-26.
65. Leslie LK, Plemmons D, Monn AR, et al. Investigating ADHD treatment trajectories: listening to families’ stories about medication use. J Dev Behav Pediatr. 2007;28(3):179-188.
66. Fiks AG, Mayne S, Localio AR, et al. Shared decision making and behavioral impairment: a national study among children with special health care needs. BMC Pediatr. 2012;12:153.
67. Stevens J, Harman JS, Kelleher KJ. Race/ethnicity and insurance status as factors associated with ADHD treatment patterns. J Child Adolesc Psychopharmacol. 2005;15(1):88-96.
68. Charach A, Skyba A, Cook L, et al. Using stimulant medication for children with ADHD: what do parents say? A brief report. J Can Acad Child Adolesc Psychiatry. 2006;15(2):75-83.
69. Chen CY, Gerhard T, Winterstein AG. Determinants of initial pharmacological treatment for youths with attention-deficit/hyperactivity disorder. J Child Adolescent Psychopharmacol. 2009;19(2):187-195.
70. National Council on Patient Information and Education. Enhancing prescription medication adherence: a national action plan. http://www.bemedwise.org/docs/enhancingprescriptionmedicineadherence.pdf. Published August 2007. Accessed July 22, 2019.
71. Kahana S, Drotar D, Frazier T. Meta-analysis of psychological interventions to promote adherence to treatment in pediatric chronic health conditions. J Pediatr Psychol. 2008;33(6):590-611.
72. Johnston C, Mash EJ. Families of children with attention-deficit/hyperactivity disorder: review and recommendations for future research. Clin Child Fam Psychol Rev. 2001;4(3):183-207.
73. Chronis AM, Lahey BB, Pelham WE Jr., et al. Psychopathology and substance abuse in parents of young children with attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry. 2003;42(12):1424-1432.
74. Chacko A, Newcorn JH, Feirsen N, et al. Improving medication adherence in chronic pediatric health conditions: a focus on ADHD in youth. Curr Pharm Des. 2010;16(22):2416-2423.
75. Brinkman WB, Hartl Majcher J, Polling LM, et al. Shared decision-making to improve attention-deficit hyperactivity disorder care. Patient Educ Couns. 2013;93(1):95-101.
76. American Academy of Pediatrics. Caring for children with ADHD: a resource toolkit for clinicians. 2nd ed. https://www.aap.org/en-us/pubserv/adhd2/Pages/default.aspx. Published 2011. Accessed July 22, 2019.
77. The REACH Institute. Course dates and registration. http://www.thereachinstitute.org/services/for-primary-care-practitioners/training-dates-and-registration. Accessed July 22, 2019.
78. Sells D, Davidson L, Jewell C, et al. The treatment relationship in peer-based and regular case management for clients with severe mental illness. Psychiatr Serv. 2006;57(8):1179-1184.
79. Hoagwood KE, Green E, Kelleher K, et al. Family advocacy, support and education in children’s mental health: results of a national survey. Adm Policy Ment Health. 2008;35(1-2):73-83.
80. Klein MD, Beck AF, Henize AW, et al. Doctors and lawyers collaborating to HeLP children—outcomes from a successful partnership between professions. J Health Care Poor Underserved. 2013;24(3):1063-1073.
81. Weintraub D, Rodgers MA, Botcheva L, et al. Pilot study of medical-legal partnership to address social and legal needs of patients. J Health Care Poor Underserved. 2010;21(Suppl 2):157-168.
82. Bradley CL, Luder HR, Beck AF, et al. Pediatric asthma medication therapy management through community pharmacy and primary care collaboration. J Am Pharm Assoc (2003). 2016;56(4):455-460.
83. Noyes K, Bajorska A, Fisher S, et al. Cost-effectiveness of the school-based asthma therapy (SBAT) program. Pediatrics. 2013;131(3):e709-e717.
84. Halterman JS, Fagnano M, Montes G, et al. The school-based preventive asthma care trial: results of a pilot study. J Pediatr. 2012;161(6):1109-1115.
85. Halterman JS, Szilagyi PG, Fisher SG, et al. Randomized controlled trial to improve care for urban children with asthma: results of the school-based asthma therapy trial. Arch Pediatr Adolesc Med. 2011;165(3):262-268.
Attention-deficit/hyperactivity disorder (ADHD) is the most common childhood neurodevelopmental disorder, affecting 8% to 12% of school-aged children in the United States1-3 with significant impairments that often persist into adulthood.4-8 Current guidelines recommend stimulant medication and/or behavioral therapies as first-line treatments for ADHD.9,10 There is a wealth of evidence on the efficacy of stimulants in ADHD, with the most significant effects noted on core ADHD symptoms.11,12 Additional evidence links stimulants to decreased long-term negative outcomes, including reduced school absences and grade retention,13 as well as modestly but significantly improved reading and math scores.14 Other studies have reported that individuals with ADHD who receive medication have decreased criminality,15,16 motor vehicle accidents,17,18 injuries,19 substance abuse,20-22 and risk for subsequent and concurrent depression.23 Therefore, the evidence suggests that consistent medication treatment helps improve outcomes for individuals with ADHD.
Adherence is defined as “the extent to which a person’s behavior (eg, taking medication) corresponds with agreed recommendations from a clinician.”24 Unfortunately, pediatric ADHD medication adherence has been found to be poor (approximately 64%).25-30 Nonadherence to ADHD medication has been linked to multiple factors, including caregiver/family and child/adolescent factors (Table 1), medication-related factors (Table 2), and health care/system factors (Table 3). Understanding and addressing these factors is essential to maximizing long-term outcomes. In this article, we review the factors associated with nonadherence to ADHD medication, and outline strategies to improve adherence.
Caregiver/family characteristics
Caregiver beliefs about ADHD and their attitudes toward treatment have been associated with the initiation of and adherence to ADHD medication. For example, caregivers who view a child’s difficulties as a medical disorder that requires a biologic intervention are more likely to accept and adhere to medication.31 Similarly, caregivers who perceive ADHD medication as safe, effective, and socially acceptable are more likely to be treatment-adherent.32-35
- increased caregiver knowledge about ADHD33
- receiving an ADHD diagnosis based on a thorough diagnostic process (ie, comprehensive psychological testing)36
- satisfaction with information about medicine
- comfort with the treatment plan.34
Socioeconomic status, family functioning, and caregiver mental health diagnoses (eg, ADHD, depression) have also been linked to ADHD medication adherence. Several studies, including the Multimodal Treatment Study of Children with ADHD,11 a landmark study of stimulant medication for children with ADHD, have found an association between low income and decreased likelihood of receiving ADHD medication.2,37-39 Further, Gau et al40 found that negative caregiver-child relationships and family dysfunction were associated with poor medication adherence in children with ADHD.9 Prior studies have also shown that mothers of children with ADHD are more likely to have depression and/or anxiety,41,42 and that caregivers with a history of mental health diagnoses are more accepting of initiating medication treatment for their children.43 However, additional studies have found that caregiver mental health diagnoses decreased the likelihood of ADHD medication adherence.40,44
Child characteristics
Child characteristics associated with decreased ADHD medication adherence include older age (eg, adolescents vs school-aged children),29,30,34,40,45-47 non-White race, Hispanic ethnicity,29,33,48-51 female gender,29,33,52 lower baseline ADHD symptom severity,30,37 and child unwillingness to take medications.34 However, prior studies have not been completely consistent about the relationship between child comorbid conditions (eg, oppositional defiant disorder [ODD], conduct disorder) and ADHD medication adherence. A few studies found that child comorbid conditions, especially ODD, mediate poor ADHD medication adherence, possibly secondary to an increased caregiver-child conflict.30,53,54 However, other studies have reported that the presence of comorbid ODD, depression, and anxiety predicted increased adherence to ADHD medications.37,46
Medication-related factors
Adverse effects of medications are the most commonly cited reason for ADHD medication nonadherence
On the other hand, increased ADHD medication effectiveness has been associated with improved medication adherence.5,34,54-56 Medication titration and dosing factors have also been shown to affect adherence. Specifically, adherence has been improved when ADHD medications are titrated in a systematic manner soon after starting treatment, and when families have an early first contact with a physician after starting medication (within 3 months).28 In addition, use of a simplified dose regimen has been linked to better adherence: patients who are prescribed long-acting stimulants are more likely to adhere to treatment compared with patients who take short-acting formulations.26,40,49,61-63 It is possible that long-acting stimulants increase adherence because they produce more even and sustained effects on ADHD symptoms throughout the day, compared with short-acting formulations.64 Furthermore, the inconvenience of taking multiple doses throughout the day, as well as the potential social stigma of mid-school day dosing, may negatively impact adherence to short-acting formulations.10
Continue to: Health care/system factors
Health care/system factors
Several studies have investigated the influence of health services factors on ADHD medication adherence. Specifically, limited transportation services and lack of mental health providers in the community have been linked to decreased ADHD medication adherence.47,65,66 Furthermore, limited insurance coverage and higher costs of ADHD medications, which lead to substantial out-of-pocket payments for families, have been associated with decreased likelihood of ADHD medication adherence.29,67
Clinician-related factors also can affect ADHD medication adherence. For example, a clinician’s lack knowledge of ADHD care can negatively impact ADHD medication adherence.68 Two studies have documented improved ADHD medication adherence when treatment is provided by specialists (eg, child psychiatrists) rather than by community primary care providers, possibly because specialists are more likely to provide close stimulant titration and monitoring (ie, ≥ 3 visits in the first 90 days) and use higher maximum doses.62,69 Furthermore, ADHD medication initiation and adherence are increased when patients have a strong working alliance with their clinician and trust the health care system,31,34,35 as well as when there is a match between the caregiver’s and clinician’s perception of the cause, course, and best treatment practices for a child’s ADHD.65
Strategies to improve medication adherence
A number of strategies to improve ADHD medication adherence can be derived from our knowledge of the factors that influence adherence.
Patient/family education. Unanswered questions about ADHD diagnosis, etiology, and medication adverse effects can negatively impact the ADHD treatment process. Therefore, patient/family education regarding ADHD and its management is necessary to improve medication adherence, because it helps families attain the knowledge, confidence, and motivation to manage their child’s condition.
Clinicians have an important role in educating patients about70:
- the medications they are taking
- why they are taking them
- what the medications look like
- the time of medication administration
- the potential adverse effects
- what to do if adverse effects occur
- what regular testing/monitoring is necessary.
Clinicians can provide appropriate psychoeducation by sharing written materials and trusted websites with families (see Related Resources).
Behavioral strategies. Behavioral interventions have been among the most effective strategies for improving medication adherence in other chronic conditions.71 Behavioral strategies are likely to be particularly important for families of children with ADHD and comorbid conditions such as ODD because these families experience considerable caregiver-child conflict.72 Moreover, parents of children with ADHD are at higher risk for having ADHD and depression themselves,73 both of which may interfere with a parent’s ability to obtain and administer medications consistently. Thus, for these families, using a combination of psychoeducation and behavioral strategies will be necessary to affect change in attitude and behavior. Behavioral strategies that can be used to improve medication adherence include:
- Technology-based interventions can reduce the impact of environmental barriers to adherence. For example, pharmacy automatic prescription renewal systems can reduce the likelihood of families failing to obtain ADHD medication refills. Pill reminder boxes, smartphone alerts, and setting various alarms can effectively prompt caregivers/patients to administer medication. In particular, these methods can be crucial in families for which multiple members have ADHD and its attendant difficulties with organization and task completion.
- Caregiver training may assist families in developing specific behavioral management skills that support adherence. This training can be as straightforward as instructing caregivers on the use of positive reinforcement when teaching their children to swallow pills. It may also encompass structured behavioral interventions aimed at training caregivers to utilize rewards and consequences in order to maximize medication adherence.74
Continue to: Clinician interventions
Clinician interventions. Clinicians can use decision aids to help inform families about treatment options, promote shared decision making, and decrease uncertainty about the treatment plan75 (see Related Resources). Early titration of ADHD medications and early first contact (within months of starting medication treatment) between caregivers and clinicians, whether via in-person visit, telephone, or email, have also been related to improved adherence.28 Furthermore, clinicians can improve adherence by prescribing a simplified medication regimen (ie, long-acting formulations that provide full-day coverage). To address the negative impact of high out-of-pocket ADHD medication costs on adherence, clinicians can also prescribe generic preparations and/or “preferred” medications options on an individual patient’s formulary.
Because clinician knowledge and expertise in ADHD care has been linked to improved patient medication adherence,68 clinicians are encouraged to use the American Academy of Pediatrics (AAP) guideline for diagnosis and treatment of ADHD, which includes a supplemental process of care algorithm (last published in 2011,10 with an updated guideline anticipated in 2019), as well as the AAP/National Institute for Children’s Health Quality (NICHQ) ADHD Toolkit,76 which includes items helpful for ADHD diagnosis and treatment. The Society for Developmental and Behavioral Pediatrics is also developing a clinical practice guideline for the diagnosis and treatment of complex ADHD (ie, ADHD complicated by coexisting mental health, developmental, and/or psychosocial conditions or issues), with publication anticipated in 2019. Primary care providers can also improve their expertise in ADHD care by pursuing additional mental health–related trainings (such as those conducted by the REACH Institute).77
Because receiving ADHD care from a specialist has been shown to improve medication initiation and adherence,62,69 other strategies to address the short supply of child psychiatrists include offering incentives to medical students to pursue a career in child psychiatry (eg, loan forgiveness). Telepsychiatry and co-location of mental health specialists and primary care providers are additional innovative ways in which ADHD specialty care can be delivered to more patients.64
Finally, providing culturally-sensitive care can strengthen the clinician-caregiver relationship and promote adherence to treatment. For example, clinicians can partner with local groups to increase their understanding of how different racial/ethnic groups perceive ADHD and its treatment.64
Peer support models. Peers are credible role models who have a valued role in facilitating the use of mental health services by empowering families and enhancing service satisfaction.78 In several communities in the United States, peer models using family advocates have been introduced.79 Family advocates are typically caregivers of children who have special needs or have been involved in the mental health system. Their perspective—as peers and first-hand consumers of the health care and/or mental health system—can make them powerful and effective coaches to families of children with ADHD. By helping families to navigate ADHD care systems successfully, family advocates can play an important role in enhancing ADHD medication adherence, although further investigation is needed. In addition, the stigma around ADHD medication use, which adversely impacts adherence, can be mitigated if caregivers participate in organized ADHD-related support groups (eg, Children and Adults with ADHD [CHADD]).
Continue to: Health disparity-reducing interventions
Health disparity-reducing interventions. Successful health disparity-reducing interventions—such as those developed to enhance care of other chronic disorders including asthma and diabetes—can be applied to improve ADHD care. These interventions, which include medical-legal partnerships (eg, between clinicians, social workers, legal advocates, and community partners) in primary care centers, have been shown to improve health insurance coverage and therefore health care access.80,81 Although some hardships linked to nonadherence (eg, low socioeconomic status) may not be amenable to health care–related interventions, screening for these hardships can identify children who are most at risk for poor adherence. This would alert clinicians to proactively identify barriers to adherence and implement mitigation strategies. This might include developing more streamlined, easier-to-follow management plans for these patients, such as those that can be delivered through pharmacist-physician collaborative programs82 and school-based therapy programs.83-85
Bottom Line
Suboptimal adherence to medications for attention-deficit/hyperactivity disorder (ADHD) can be addressed through patient/family education, behavioral strategies, clinician interventions, peer support models, and health disparity-reducing interventions. By improving ADHD treatment adherence, these interventions have the potential to maximize long-term outcomes.
Related Resources
- Cohen Children’s Medical Center Northwell Health. The ADHD Medication Guide. www.ADHDMedicationGuide.com. Revised December 31, 2017.
- Cincinnati Children’s Hospital Medical Center. Decision aids to facilitate shared decision making in practice. www.cincinnatichildrens.org/service/j/anderson-center/ evidence-based-care/decision-aids.
- CHADD. Children and Adults with attention-deficit/ hyperactivity disorder. www.chadd.org.
Drug Brand Name
Methylphenidate • Concerta, Ritalin
Attention-deficit/hyperactivity disorder (ADHD) is the most common childhood neurodevelopmental disorder, affecting 8% to 12% of school-aged children in the United States1-3 with significant impairments that often persist into adulthood.4-8 Current guidelines recommend stimulant medication and/or behavioral therapies as first-line treatments for ADHD.9,10 There is a wealth of evidence on the efficacy of stimulants in ADHD, with the most significant effects noted on core ADHD symptoms.11,12 Additional evidence links stimulants to decreased long-term negative outcomes, including reduced school absences and grade retention,13 as well as modestly but significantly improved reading and math scores.14 Other studies have reported that individuals with ADHD who receive medication have decreased criminality,15,16 motor vehicle accidents,17,18 injuries,19 substance abuse,20-22 and risk for subsequent and concurrent depression.23 Therefore, the evidence suggests that consistent medication treatment helps improve outcomes for individuals with ADHD.
Adherence is defined as “the extent to which a person’s behavior (eg, taking medication) corresponds with agreed recommendations from a clinician.”24 Unfortunately, pediatric ADHD medication adherence has been found to be poor (approximately 64%).25-30 Nonadherence to ADHD medication has been linked to multiple factors, including caregiver/family and child/adolescent factors (Table 1), medication-related factors (Table 2), and health care/system factors (Table 3). Understanding and addressing these factors is essential to maximizing long-term outcomes. In this article, we review the factors associated with nonadherence to ADHD medication, and outline strategies to improve adherence.
Caregiver/family characteristics
Caregiver beliefs about ADHD and their attitudes toward treatment have been associated with the initiation of and adherence to ADHD medication. For example, caregivers who view a child’s difficulties as a medical disorder that requires a biologic intervention are more likely to accept and adhere to medication.31 Similarly, caregivers who perceive ADHD medication as safe, effective, and socially acceptable are more likely to be treatment-adherent.32-35
- increased caregiver knowledge about ADHD33
- receiving an ADHD diagnosis based on a thorough diagnostic process (ie, comprehensive psychological testing)36
- satisfaction with information about medicine
- comfort with the treatment plan.34
Socioeconomic status, family functioning, and caregiver mental health diagnoses (eg, ADHD, depression) have also been linked to ADHD medication adherence. Several studies, including the Multimodal Treatment Study of Children with ADHD,11 a landmark study of stimulant medication for children with ADHD, have found an association between low income and decreased likelihood of receiving ADHD medication.2,37-39 Further, Gau et al40 found that negative caregiver-child relationships and family dysfunction were associated with poor medication adherence in children with ADHD.9 Prior studies have also shown that mothers of children with ADHD are more likely to have depression and/or anxiety,41,42 and that caregivers with a history of mental health diagnoses are more accepting of initiating medication treatment for their children.43 However, additional studies have found that caregiver mental health diagnoses decreased the likelihood of ADHD medication adherence.40,44
Child characteristics
Child characteristics associated with decreased ADHD medication adherence include older age (eg, adolescents vs school-aged children),29,30,34,40,45-47 non-White race, Hispanic ethnicity,29,33,48-51 female gender,29,33,52 lower baseline ADHD symptom severity,30,37 and child unwillingness to take medications.34 However, prior studies have not been completely consistent about the relationship between child comorbid conditions (eg, oppositional defiant disorder [ODD], conduct disorder) and ADHD medication adherence. A few studies found that child comorbid conditions, especially ODD, mediate poor ADHD medication adherence, possibly secondary to an increased caregiver-child conflict.30,53,54 However, other studies have reported that the presence of comorbid ODD, depression, and anxiety predicted increased adherence to ADHD medications.37,46
Medication-related factors
Adverse effects of medications are the most commonly cited reason for ADHD medication nonadherence
On the other hand, increased ADHD medication effectiveness has been associated with improved medication adherence.5,34,54-56 Medication titration and dosing factors have also been shown to affect adherence. Specifically, adherence has been improved when ADHD medications are titrated in a systematic manner soon after starting treatment, and when families have an early first contact with a physician after starting medication (within 3 months).28 In addition, use of a simplified dose regimen has been linked to better adherence: patients who are prescribed long-acting stimulants are more likely to adhere to treatment compared with patients who take short-acting formulations.26,40,49,61-63 It is possible that long-acting stimulants increase adherence because they produce more even and sustained effects on ADHD symptoms throughout the day, compared with short-acting formulations.64 Furthermore, the inconvenience of taking multiple doses throughout the day, as well as the potential social stigma of mid-school day dosing, may negatively impact adherence to short-acting formulations.10
Continue to: Health care/system factors
Health care/system factors
Several studies have investigated the influence of health services factors on ADHD medication adherence. Specifically, limited transportation services and lack of mental health providers in the community have been linked to decreased ADHD medication adherence.47,65,66 Furthermore, limited insurance coverage and higher costs of ADHD medications, which lead to substantial out-of-pocket payments for families, have been associated with decreased likelihood of ADHD medication adherence.29,67
Clinician-related factors also can affect ADHD medication adherence. For example, a clinician’s lack knowledge of ADHD care can negatively impact ADHD medication adherence.68 Two studies have documented improved ADHD medication adherence when treatment is provided by specialists (eg, child psychiatrists) rather than by community primary care providers, possibly because specialists are more likely to provide close stimulant titration and monitoring (ie, ≥ 3 visits in the first 90 days) and use higher maximum doses.62,69 Furthermore, ADHD medication initiation and adherence are increased when patients have a strong working alliance with their clinician and trust the health care system,31,34,35 as well as when there is a match between the caregiver’s and clinician’s perception of the cause, course, and best treatment practices for a child’s ADHD.65
Strategies to improve medication adherence
A number of strategies to improve ADHD medication adherence can be derived from our knowledge of the factors that influence adherence.
Patient/family education. Unanswered questions about ADHD diagnosis, etiology, and medication adverse effects can negatively impact the ADHD treatment process. Therefore, patient/family education regarding ADHD and its management is necessary to improve medication adherence, because it helps families attain the knowledge, confidence, and motivation to manage their child’s condition.
Clinicians have an important role in educating patients about70:
- the medications they are taking
- why they are taking them
- what the medications look like
- the time of medication administration
- the potential adverse effects
- what to do if adverse effects occur
- what regular testing/monitoring is necessary.
Clinicians can provide appropriate psychoeducation by sharing written materials and trusted websites with families (see Related Resources).
Behavioral strategies. Behavioral interventions have been among the most effective strategies for improving medication adherence in other chronic conditions.71 Behavioral strategies are likely to be particularly important for families of children with ADHD and comorbid conditions such as ODD because these families experience considerable caregiver-child conflict.72 Moreover, parents of children with ADHD are at higher risk for having ADHD and depression themselves,73 both of which may interfere with a parent’s ability to obtain and administer medications consistently. Thus, for these families, using a combination of psychoeducation and behavioral strategies will be necessary to affect change in attitude and behavior. Behavioral strategies that can be used to improve medication adherence include:
- Technology-based interventions can reduce the impact of environmental barriers to adherence. For example, pharmacy automatic prescription renewal systems can reduce the likelihood of families failing to obtain ADHD medication refills. Pill reminder boxes, smartphone alerts, and setting various alarms can effectively prompt caregivers/patients to administer medication. In particular, these methods can be crucial in families for which multiple members have ADHD and its attendant difficulties with organization and task completion.
- Caregiver training may assist families in developing specific behavioral management skills that support adherence. This training can be as straightforward as instructing caregivers on the use of positive reinforcement when teaching their children to swallow pills. It may also encompass structured behavioral interventions aimed at training caregivers to utilize rewards and consequences in order to maximize medication adherence.74
Continue to: Clinician interventions
Clinician interventions. Clinicians can use decision aids to help inform families about treatment options, promote shared decision making, and decrease uncertainty about the treatment plan75 (see Related Resources). Early titration of ADHD medications and early first contact (within months of starting medication treatment) between caregivers and clinicians, whether via in-person visit, telephone, or email, have also been related to improved adherence.28 Furthermore, clinicians can improve adherence by prescribing a simplified medication regimen (ie, long-acting formulations that provide full-day coverage). To address the negative impact of high out-of-pocket ADHD medication costs on adherence, clinicians can also prescribe generic preparations and/or “preferred” medications options on an individual patient’s formulary.
Because clinician knowledge and expertise in ADHD care has been linked to improved patient medication adherence,68 clinicians are encouraged to use the American Academy of Pediatrics (AAP) guideline for diagnosis and treatment of ADHD, which includes a supplemental process of care algorithm (last published in 2011,10 with an updated guideline anticipated in 2019), as well as the AAP/National Institute for Children’s Health Quality (NICHQ) ADHD Toolkit,76 which includes items helpful for ADHD diagnosis and treatment. The Society for Developmental and Behavioral Pediatrics is also developing a clinical practice guideline for the diagnosis and treatment of complex ADHD (ie, ADHD complicated by coexisting mental health, developmental, and/or psychosocial conditions or issues), with publication anticipated in 2019. Primary care providers can also improve their expertise in ADHD care by pursuing additional mental health–related trainings (such as those conducted by the REACH Institute).77
Because receiving ADHD care from a specialist has been shown to improve medication initiation and adherence,62,69 other strategies to address the short supply of child psychiatrists include offering incentives to medical students to pursue a career in child psychiatry (eg, loan forgiveness). Telepsychiatry and co-location of mental health specialists and primary care providers are additional innovative ways in which ADHD specialty care can be delivered to more patients.64
Finally, providing culturally-sensitive care can strengthen the clinician-caregiver relationship and promote adherence to treatment. For example, clinicians can partner with local groups to increase their understanding of how different racial/ethnic groups perceive ADHD and its treatment.64
Peer support models. Peers are credible role models who have a valued role in facilitating the use of mental health services by empowering families and enhancing service satisfaction.78 In several communities in the United States, peer models using family advocates have been introduced.79 Family advocates are typically caregivers of children who have special needs or have been involved in the mental health system. Their perspective—as peers and first-hand consumers of the health care and/or mental health system—can make them powerful and effective coaches to families of children with ADHD. By helping families to navigate ADHD care systems successfully, family advocates can play an important role in enhancing ADHD medication adherence, although further investigation is needed. In addition, the stigma around ADHD medication use, which adversely impacts adherence, can be mitigated if caregivers participate in organized ADHD-related support groups (eg, Children and Adults with ADHD [CHADD]).
Continue to: Health disparity-reducing interventions
Health disparity-reducing interventions. Successful health disparity-reducing interventions—such as those developed to enhance care of other chronic disorders including asthma and diabetes—can be applied to improve ADHD care. These interventions, which include medical-legal partnerships (eg, between clinicians, social workers, legal advocates, and community partners) in primary care centers, have been shown to improve health insurance coverage and therefore health care access.80,81 Although some hardships linked to nonadherence (eg, low socioeconomic status) may not be amenable to health care–related interventions, screening for these hardships can identify children who are most at risk for poor adherence. This would alert clinicians to proactively identify barriers to adherence and implement mitigation strategies. This might include developing more streamlined, easier-to-follow management plans for these patients, such as those that can be delivered through pharmacist-physician collaborative programs82 and school-based therapy programs.83-85
Bottom Line
Suboptimal adherence to medications for attention-deficit/hyperactivity disorder (ADHD) can be addressed through patient/family education, behavioral strategies, clinician interventions, peer support models, and health disparity-reducing interventions. By improving ADHD treatment adherence, these interventions have the potential to maximize long-term outcomes.
Related Resources
- Cohen Children’s Medical Center Northwell Health. The ADHD Medication Guide. www.ADHDMedicationGuide.com. Revised December 31, 2017.
- Cincinnati Children’s Hospital Medical Center. Decision aids to facilitate shared decision making in practice. www.cincinnatichildrens.org/service/j/anderson-center/ evidence-based-care/decision-aids.
- CHADD. Children and Adults with attention-deficit/ hyperactivity disorder. www.chadd.org.
Drug Brand Name
Methylphenidate • Concerta, Ritalin
1. Froehlich TE, Lanphear BP, Epstein JN, et al. Prevalence, recognition, and treatment of attention-deficit/hyperactivity disorder in a national sample of US children. Arch Pediatr Adolesc Med. 2007;161(9):857-864.
2. Visser SN, Lesesne CA, Perou R. National estimates and factors associated with medication treatment for childhood attention-deficit/hyperactivity disorder. Pediatrics. 2007;119 (Suppl 1):S99-S106.
3. Danielson ML, Bitsko RH, Ghandour RM, et al. Prevalence of parent-reported ADHD diagnosis and associated treatment among U.S. children and adolescents, 2016. J Clin Child Adolesc Psychol. 2018;47(2):199-212.
4. Molina BS, Hinshaw SP, Swanson JM, et al. The MTA at 8 years: prospective follow-up of children treated for combined-type ADHD in a multisite study. J Am Acad Child Adolesc Psychiatry. 2009;48(5):484-500.
5. Charach A, Dashti B, Carson P, et al. Attention deficit hyperactivity disorder: effectiveness of treatment in at-risk preschoolers; long-term effectiveness in all ages; and variability in prevalence, diagnosis, and treatment. Rockville, MD: Agency for Healthcare Research and Quality; 2011. http://www.ncbi.nlm.nih.gov/books/NBK82368/.
6. Wehmeier PM, Schacht A, Barkley RA. Social and emotional impairment in children and adolescents with ADHD and the impact on quality of life. J Adolesc Health. 2010;46(3):209-217.
7. Barkley RA, Fischer M, Smallish L, et al. Young adult outcome of hyperactive children: adaptive functioning in major life activities. J Am Acad Child Adolesc Psychiatry. 2006;45(2):192-202.
8. Spencer TJ, Biederman J, Mick E. Attention-deficit/hyperactivity disorder: diagnosis, lifespan, comorbidities, and neurobiology. J Pediatr Psychol. 2007;32(6):631-642.
9. Pliszka S, the AACAP Work Group on Quality Issues. Practice parameter for the assessment and treatment of children and adolescents with attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry. 2007;46(7):894-921.
10. Subcommittee on Attention-Deficit/Hyperactivity Disorder; Steering Committee on Quality Improvement and Management. ADHD: clinical practice guideline for the diagnosis, evaluation, and treatment of attention-deficit/hyperactivity disorder in children and adolescents. Pediatrics. 2011;128(5):1007-1022.
11. A 14-month randomized clinical trial of treatment strategies for attention-deficit/hyperactivity disorder. The MTA Cooperative Group. Multimodal Treatment Study of Children with ADHD. Arch Gen Psychiatry. 1999;56(12):1073-1086.
12. Abikoff H, Hechtman L, Klein RG, et al. Symptomatic improvement in children with ADHD treated with long-term methylphenidate and multimodal psychosocial treatment. J Am Acad Child Adolesc Psychiatry. 2004;43(7):802-811.
13. Barbaresi WJ, Katusic SK, Colligan RC, et al. Long-term school outcomes for children with attention-deficit/hyperactivity disorder: a population-based perspective. J Dev Behav Pediatr. 2007;28(4):265-273.
14. Scheffler RM, Brown TT, Fulton BD, et al. Positive association between attention-deficit/ hyperactivity disorder medication use and academic achievement during elementary school. Pediatrics. 2009;123(5):1273-1279.
15. Dalsgaard S, Nielsen HS, Simonsen M. Five-fold increase in national prevalence rates of attention-deficit/hyperactivity disorder medications for children and adolescents with autism spectrum disorder, attention-deficit/hyperactivity disorder, and other psychiatric disorders: a Danish register-based study. J Child Adolesc Psychopharmacol. 2013;23(7):432-439.
16. Lichtenstein P, Halldner L, Zetterqvist J, et al. Medication for attention deficit-hyperactivity disorder and criminality. N Engl J Med. 2012;367(21):2006-2014.
17. Chang Z, Lichtenstein P, D’Onofrio BM, et al. Serious transport accidents in adults with attention-deficit/hyperactivity disorder and the effect of medication: a population-based study. JAMA Psychiatry. 2014;71(3):319-325.
18. Chang Z, Quinn PD, Hur K, et al. Association between medication use for attention-deficit/hyperactivity disorder and risk of motor vehicle crashes. JAMA Psychiatry. 2017;74(6):597-603.
19. Dalsgaard S, Leckman JF, Mortensen PB, et al. Effect of drugs on the risk of injuries in children with attention deficit hyperactivity disorder: a prospective cohort study. Lancet Psychiatry. 2015;2(8):702-709.
20. Chang Z, Lichtenstein P, Halldner L, et al. Stimulant ADHD medication and risk for substance abuse. J Child Psychol Psychiatry. 2014;55(8):878-885.
21. Fischer M, Barkley RA. Childhood stimulant treatment and risk for later substance abuse. J Clin Psychiatry. 2003;64(Suppl 11):19-23.
22. Biederman J. Pharmacotherapy for attention-deficit/hyperactivity disorder (ADHD) decreases the risk for substance abuse: findings from a longitudinal follow-up of youths with and without ADHD. J Clin Psychiatry. 2003;64(Suppl 11):3-8.
23. Chang Z, D’Onofrio BM, Quinn PD, et al. Medicationfor attention-deficit/hyperactivity disorder and risk for depression: a nationwide longitudinal cohort study. Biol Psychiatry. 2016;80(12):916-922.
24. World Health Organization. Adherence to long-term therapies: evidence for action. https://www.who.int/chp/knowledge/publications/adherence_full_report.pdf?ua=1. Published 2003. Accessed July 22, 2019.
25. Perwien A, Hall J, Swensen A, et al. Stimulant treatment patterns and compliance in children and adults with newly treated attention-deficit/hyperactivity disorder. J Manag Care Pharm. 2004;10(2):122-129.
26. Faraone SV, Biederman J, Zimmerman B. An analysis of patient adherence to treatment during a 1-year, open-label study of OROS methylphenidate in children with ADHD. J Atten Disord. 2007;11(2):157-166.
27. Barner JC, Khoza S, Oladapo A. ADHD medication use, adherence, persistence and cost among Texas Medicaid children. Curr Med Res Opin. 2011;27(Suppl 2):13-22.
28. Brinkman WB, Baum R, Kelleher KJ, et al. Relationship between attention-deficit/hyperactivity disorder care and medication continuity. J Am Acad Child Adolesc Psychiatry. 2016;55(4):289-294.
29. Bokhari FAS, Heiland F, Levine P, et al. Risk factors for discontinuing drug therapy among children with ADHD. Health Services and Outcomes Research Methodology. 2008;8(3):134-158.
30. Thiruchelvam D, Charach A, Schachar RJ. Moderators and mediators of long-term adherence to stimulant treatment in children with ADHD. J Am Acad Child Adolesc Psychiatry. 2001;40(8):922-928.
31. DosReis S, Mychailyszyn MP, Evans-Lacko SE, et al. The meaning of attention-deficit/hyperactivity disorder medication and parents’ initiation and continuity of treatment for their child. J Child Adolesc Psychopharmacol. 2009;19(4):377-383.
32. dosReis S, Myers MA. Parental attitudes and involvement in psychopharmacological treatment for ADHD: a conceptual model. Int Rev Psychiatry. 2008;20(2):135-141.
33. Bussing R, Koro-Ljungberg M, Noguchi K, et al. Willingness to use ADHD treatments: a mixed methods study of perceptions by adolescents, parents, health professionals and teachers. Soc Sci Med. 2012;74(1):92-100.
34. Brinkman WB, Sucharew H, Majcher JH, et al. Predictors of medication continuity in children with ADHD. Pediatrics. 2018;141(6). doi: 10.1542/peds.2017-2580.
35. Coletti DJ, Pappadopulos E, Katsiotas NJ, et al. Parent perspectives on the decision to initiate medication treatment of attention-deficit/hyperactivity disorder. J Child Adolesc Psychopharmacol. 2012;22(3):226-237.
36. Bussing R, Gary FA. Practice guidelines and parental ADHD treatment evaluations: friends or foes? Harv Rev Psychiatry. 2001;9(5):223-233.
37. Charach A, Gajaria A. Improving psychostimulant adherence in children with ADHD. Expert Rev Neurother. 2008;8(10):1563-1571.
38. Rieppi R, Greenhill LL, Ford RE, et al. Socioeconomic status as a moderator of ADHD treatment outcomes. J Am Acad Child Adolesc Psychiatry. 2002;41(3):269-277.
39. Swanson JM, Hinshaw SP, Arnold LE, et al. Secondary evaluations of MTA 36-month outcomes: propensity score and growth mixture model analyses. J Am Acad Child Adolesc Psychiatry. 2007;46(8):1003-1014.
40. Gau SS, Shen HY, Chou MC, et al. Determinants of adherence to methylphenidate and the impact of poor adherence on maternal and family measures. J Child Adolesc Psychopharmacol. 2006;16(3):286-297.
41. Barkley RA, Fischer M, Edelbrock C, et al. The adolescent outcome of hyperactive children diagnosed by research criteria--III. Mother-child interactions, family conflicts and maternal psychopathology. J Child Psychol Psychiatry. 1991;32(2):233-255.
42. Kashdan TB, Jacob RG, Pelham WE, et al. Depression and anxiety in parents of children with ADHD and varying levels of oppositional defiant behaviors: modeling relationships with family functioning. J Clin Child Adolesc Psychol. 2004;33(1):169-181.
43. Chavira DA, Stein MB, Bailey K, et al. Parental opinions regarding treatment for social anxiety disorder in youth. J Dev Behav Pediatr. 2003;24(5):315-322.
44. Leslie LK, Aarons GA, Haine RA, et al. Caregiver depression and medication use by youths with ADHD who receive services in the public sector. Psychiatr Serv. 2007;58(1):131-134.
45. Barbaresi WJ, Katusic SK, Colligan RC, et al. Long-term stimulant medication treatment of attention-deficit/hyperactivity disorder: results from a population-based study. J Dev Behav Pediatr. 2006;27(1):1-10.
46. Atzori P, Usala T, Carucci S, et al. Predictive factors for persistent use and compliance of immediate-release methylphenidate: a 36-month naturalistic study. J Child Adolesc Psychopharmacol. 2009;19(6):673-681.
47. Chen CY, Yeh HH, Chen KH, et al. Differential effects of predictors on methylphenidate initiation and discontinuation among young people with newly diagnosed attention-deficit/hyperactivity disorder. J Child Adolesc Psychopharmacol. 2011;21(3):265-273.
48. Winterstein AG, Gerhard T, Shuster J, et al. Utilization of pharmacologic treatment in youths with attention deficit/hyperactivity disorder in Medicaid database. Ann Pharmacother. 2008;42(1):24-31.
49. Marcus SC, Wan GJ, Kemner JE, et al. Continuity of methylphenidate treatment for attention-deficit/hyperactivity disorder. Arch Pediatr Adolesc Med. 2005;159(6):572-578.
50. Cummings JR JX, Allen L, Lally C, et al. Racial and ethnic differences in ADHD treatment quality among Medicaid-enrolled youth. Pediatrics. 2017;139(6):e2016-e2044.
51. Hudson JL, Miller GE, Kirby JB. Explaining racial and ethnic differences in children’s use of stimulant medications. Med Care. 2007;45(11):1068-1075.
52. van den Ban E, Souverein PC, Swaab H, et al. Less discontinuation of ADHD drug use since the availability of long-acting ADHD medication in children, adolescents and adults under the age of 45 years in the Netherlands. Atten Defic Hyperact Disord. 2010;2(4):213-220.
53. Charach A, Ickowicz A, Schachar R. Stimulant treatment over five years: adherence, effectiveness, and adverse effects. J Am Acad Child Adolesc Psychiatry. 2004;43(5):559-567.
54. Toomey SL, Sox CM, Rusinak D, et al. Why do children with ADHD discontinue their medication? Clin Pediatr (Phila). 2012;51(8):763-769.
55. Brinkman WB, Simon JO, Epstein JN. Reasons why children and adolescents with attention-deficit/hyperactivity disorder stop and restart taking medicine. Acad Pediatr. 2018;18(3):273-280.
56. Wehmeier PM, Dittmann RW, Banaschewski T. Treatment compliance or medication adherence in children and adolescents on ADHD medication in clinical practice: results from the COMPLY observational study. Atten Defic Hyperact Disord. 2015;7(2):165-174.
57. Frank E, Ozon C, Nair V, et al. Examining why patients with attention-deficit/hyperactivity disorder lack adherence to medication over the long term: a review and analysis. J Clin Psychiatry. 2015;76(11):e1459-e1468.
58. Pozzi M, Carnovale C, Peeters G, et al. Adverse drug events related to mood and emotion in paediatric patients treated for ADHD: a meta-analysis. J Affect Disord. 2018;238:161-178.
59. Stuckelman ZD, Mulqueen JM, Ferracioli-Oda E, et al. Risk of irritability with psychostimulant treatment in children with ADHD: a meta-analysis. J Clin Psychiatry. 2017;78(6):e648-e655.
60. Cortese S, Adamo N, Del Giovane C, et al. Comparative efficacy and tolerability of medications for attention-deficit hyperactivity disorder in children, adolescents, and adults: a systematic review and network meta-analysis. Lancet Psychiatry. 2018;5(9):727-738.
61. Lawson KA, Johnsrud M, Hodgkins P, et al. Utilization patterns of stimulants in ADHD in the Medicaid population: a retrospective analysis of data from the Texas Medicaid program. Clin Ther. 2012;34(4):944-956 e944.
62. Olfson M, Marcus S, Wan G. Stimulant dosing for children with ADHD: a medical claims analysis. J Am Acad Child Adolesc Psychiatry. 2009;48(1):51-59.
63. Jensen PS, Arnold LE, Swanson JM, et al. 3-year follow-up of the NIMH MTA study. J Am Acad Child Adolesc Psychiatry. 2007;46(8):989-1002.
64. Van Cleave J, Leslie LK. Approaching ADHD as a chronic condition: implications for long-term adherence. Pediatr Ann. 2008;37(1):19-26.
65. Leslie LK, Plemmons D, Monn AR, et al. Investigating ADHD treatment trajectories: listening to families’ stories about medication use. J Dev Behav Pediatr. 2007;28(3):179-188.
66. Fiks AG, Mayne S, Localio AR, et al. Shared decision making and behavioral impairment: a national study among children with special health care needs. BMC Pediatr. 2012;12:153.
67. Stevens J, Harman JS, Kelleher KJ. Race/ethnicity and insurance status as factors associated with ADHD treatment patterns. J Child Adolesc Psychopharmacol. 2005;15(1):88-96.
68. Charach A, Skyba A, Cook L, et al. Using stimulant medication for children with ADHD: what do parents say? A brief report. J Can Acad Child Adolesc Psychiatry. 2006;15(2):75-83.
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1. Froehlich TE, Lanphear BP, Epstein JN, et al. Prevalence, recognition, and treatment of attention-deficit/hyperactivity disorder in a national sample of US children. Arch Pediatr Adolesc Med. 2007;161(9):857-864.
2. Visser SN, Lesesne CA, Perou R. National estimates and factors associated with medication treatment for childhood attention-deficit/hyperactivity disorder. Pediatrics. 2007;119 (Suppl 1):S99-S106.
3. Danielson ML, Bitsko RH, Ghandour RM, et al. Prevalence of parent-reported ADHD diagnosis and associated treatment among U.S. children and adolescents, 2016. J Clin Child Adolesc Psychol. 2018;47(2):199-212.
4. Molina BS, Hinshaw SP, Swanson JM, et al. The MTA at 8 years: prospective follow-up of children treated for combined-type ADHD in a multisite study. J Am Acad Child Adolesc Psychiatry. 2009;48(5):484-500.
5. Charach A, Dashti B, Carson P, et al. Attention deficit hyperactivity disorder: effectiveness of treatment in at-risk preschoolers; long-term effectiveness in all ages; and variability in prevalence, diagnosis, and treatment. Rockville, MD: Agency for Healthcare Research and Quality; 2011. http://www.ncbi.nlm.nih.gov/books/NBK82368/.
6. Wehmeier PM, Schacht A, Barkley RA. Social and emotional impairment in children and adolescents with ADHD and the impact on quality of life. J Adolesc Health. 2010;46(3):209-217.
7. Barkley RA, Fischer M, Smallish L, et al. Young adult outcome of hyperactive children: adaptive functioning in major life activities. J Am Acad Child Adolesc Psychiatry. 2006;45(2):192-202.
8. Spencer TJ, Biederman J, Mick E. Attention-deficit/hyperactivity disorder: diagnosis, lifespan, comorbidities, and neurobiology. J Pediatr Psychol. 2007;32(6):631-642.
9. Pliszka S, the AACAP Work Group on Quality Issues. Practice parameter for the assessment and treatment of children and adolescents with attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry. 2007;46(7):894-921.
10. Subcommittee on Attention-Deficit/Hyperactivity Disorder; Steering Committee on Quality Improvement and Management. ADHD: clinical practice guideline for the diagnosis, evaluation, and treatment of attention-deficit/hyperactivity disorder in children and adolescents. Pediatrics. 2011;128(5):1007-1022.
11. A 14-month randomized clinical trial of treatment strategies for attention-deficit/hyperactivity disorder. The MTA Cooperative Group. Multimodal Treatment Study of Children with ADHD. Arch Gen Psychiatry. 1999;56(12):1073-1086.
12. Abikoff H, Hechtman L, Klein RG, et al. Symptomatic improvement in children with ADHD treated with long-term methylphenidate and multimodal psychosocial treatment. J Am Acad Child Adolesc Psychiatry. 2004;43(7):802-811.
13. Barbaresi WJ, Katusic SK, Colligan RC, et al. Long-term school outcomes for children with attention-deficit/hyperactivity disorder: a population-based perspective. J Dev Behav Pediatr. 2007;28(4):265-273.
14. Scheffler RM, Brown TT, Fulton BD, et al. Positive association between attention-deficit/ hyperactivity disorder medication use and academic achievement during elementary school. Pediatrics. 2009;123(5):1273-1279.
15. Dalsgaard S, Nielsen HS, Simonsen M. Five-fold increase in national prevalence rates of attention-deficit/hyperactivity disorder medications for children and adolescents with autism spectrum disorder, attention-deficit/hyperactivity disorder, and other psychiatric disorders: a Danish register-based study. J Child Adolesc Psychopharmacol. 2013;23(7):432-439.
16. Lichtenstein P, Halldner L, Zetterqvist J, et al. Medication for attention deficit-hyperactivity disorder and criminality. N Engl J Med. 2012;367(21):2006-2014.
17. Chang Z, Lichtenstein P, D’Onofrio BM, et al. Serious transport accidents in adults with attention-deficit/hyperactivity disorder and the effect of medication: a population-based study. JAMA Psychiatry. 2014;71(3):319-325.
18. Chang Z, Quinn PD, Hur K, et al. Association between medication use for attention-deficit/hyperactivity disorder and risk of motor vehicle crashes. JAMA Psychiatry. 2017;74(6):597-603.
19. Dalsgaard S, Leckman JF, Mortensen PB, et al. Effect of drugs on the risk of injuries in children with attention deficit hyperactivity disorder: a prospective cohort study. Lancet Psychiatry. 2015;2(8):702-709.
20. Chang Z, Lichtenstein P, Halldner L, et al. Stimulant ADHD medication and risk for substance abuse. J Child Psychol Psychiatry. 2014;55(8):878-885.
21. Fischer M, Barkley RA. Childhood stimulant treatment and risk for later substance abuse. J Clin Psychiatry. 2003;64(Suppl 11):19-23.
22. Biederman J. Pharmacotherapy for attention-deficit/hyperactivity disorder (ADHD) decreases the risk for substance abuse: findings from a longitudinal follow-up of youths with and without ADHD. J Clin Psychiatry. 2003;64(Suppl 11):3-8.
23. Chang Z, D’Onofrio BM, Quinn PD, et al. Medicationfor attention-deficit/hyperactivity disorder and risk for depression: a nationwide longitudinal cohort study. Biol Psychiatry. 2016;80(12):916-922.
24. World Health Organization. Adherence to long-term therapies: evidence for action. https://www.who.int/chp/knowledge/publications/adherence_full_report.pdf?ua=1. Published 2003. Accessed July 22, 2019.
25. Perwien A, Hall J, Swensen A, et al. Stimulant treatment patterns and compliance in children and adults with newly treated attention-deficit/hyperactivity disorder. J Manag Care Pharm. 2004;10(2):122-129.
26. Faraone SV, Biederman J, Zimmerman B. An analysis of patient adherence to treatment during a 1-year, open-label study of OROS methylphenidate in children with ADHD. J Atten Disord. 2007;11(2):157-166.
27. Barner JC, Khoza S, Oladapo A. ADHD medication use, adherence, persistence and cost among Texas Medicaid children. Curr Med Res Opin. 2011;27(Suppl 2):13-22.
28. Brinkman WB, Baum R, Kelleher KJ, et al. Relationship between attention-deficit/hyperactivity disorder care and medication continuity. J Am Acad Child Adolesc Psychiatry. 2016;55(4):289-294.
29. Bokhari FAS, Heiland F, Levine P, et al. Risk factors for discontinuing drug therapy among children with ADHD. Health Services and Outcomes Research Methodology. 2008;8(3):134-158.
30. Thiruchelvam D, Charach A, Schachar RJ. Moderators and mediators of long-term adherence to stimulant treatment in children with ADHD. J Am Acad Child Adolesc Psychiatry. 2001;40(8):922-928.
31. DosReis S, Mychailyszyn MP, Evans-Lacko SE, et al. The meaning of attention-deficit/hyperactivity disorder medication and parents’ initiation and continuity of treatment for their child. J Child Adolesc Psychopharmacol. 2009;19(4):377-383.
32. dosReis S, Myers MA. Parental attitudes and involvement in psychopharmacological treatment for ADHD: a conceptual model. Int Rev Psychiatry. 2008;20(2):135-141.
33. Bussing R, Koro-Ljungberg M, Noguchi K, et al. Willingness to use ADHD treatments: a mixed methods study of perceptions by adolescents, parents, health professionals and teachers. Soc Sci Med. 2012;74(1):92-100.
34. Brinkman WB, Sucharew H, Majcher JH, et al. Predictors of medication continuity in children with ADHD. Pediatrics. 2018;141(6). doi: 10.1542/peds.2017-2580.
35. Coletti DJ, Pappadopulos E, Katsiotas NJ, et al. Parent perspectives on the decision to initiate medication treatment of attention-deficit/hyperactivity disorder. J Child Adolesc Psychopharmacol. 2012;22(3):226-237.
36. Bussing R, Gary FA. Practice guidelines and parental ADHD treatment evaluations: friends or foes? Harv Rev Psychiatry. 2001;9(5):223-233.
37. Charach A, Gajaria A. Improving psychostimulant adherence in children with ADHD. Expert Rev Neurother. 2008;8(10):1563-1571.
38. Rieppi R, Greenhill LL, Ford RE, et al. Socioeconomic status as a moderator of ADHD treatment outcomes. J Am Acad Child Adolesc Psychiatry. 2002;41(3):269-277.
39. Swanson JM, Hinshaw SP, Arnold LE, et al. Secondary evaluations of MTA 36-month outcomes: propensity score and growth mixture model analyses. J Am Acad Child Adolesc Psychiatry. 2007;46(8):1003-1014.
40. Gau SS, Shen HY, Chou MC, et al. Determinants of adherence to methylphenidate and the impact of poor adherence on maternal and family measures. J Child Adolesc Psychopharmacol. 2006;16(3):286-297.
41. Barkley RA, Fischer M, Edelbrock C, et al. The adolescent outcome of hyperactive children diagnosed by research criteria--III. Mother-child interactions, family conflicts and maternal psychopathology. J Child Psychol Psychiatry. 1991;32(2):233-255.
42. Kashdan TB, Jacob RG, Pelham WE, et al. Depression and anxiety in parents of children with ADHD and varying levels of oppositional defiant behaviors: modeling relationships with family functioning. J Clin Child Adolesc Psychol. 2004;33(1):169-181.
43. Chavira DA, Stein MB, Bailey K, et al. Parental opinions regarding treatment for social anxiety disorder in youth. J Dev Behav Pediatr. 2003;24(5):315-322.
44. Leslie LK, Aarons GA, Haine RA, et al. Caregiver depression and medication use by youths with ADHD who receive services in the public sector. Psychiatr Serv. 2007;58(1):131-134.
45. Barbaresi WJ, Katusic SK, Colligan RC, et al. Long-term stimulant medication treatment of attention-deficit/hyperactivity disorder: results from a population-based study. J Dev Behav Pediatr. 2006;27(1):1-10.
46. Atzori P, Usala T, Carucci S, et al. Predictive factors for persistent use and compliance of immediate-release methylphenidate: a 36-month naturalistic study. J Child Adolesc Psychopharmacol. 2009;19(6):673-681.
47. Chen CY, Yeh HH, Chen KH, et al. Differential effects of predictors on methylphenidate initiation and discontinuation among young people with newly diagnosed attention-deficit/hyperactivity disorder. J Child Adolesc Psychopharmacol. 2011;21(3):265-273.
48. Winterstein AG, Gerhard T, Shuster J, et al. Utilization of pharmacologic treatment in youths with attention deficit/hyperactivity disorder in Medicaid database. Ann Pharmacother. 2008;42(1):24-31.
49. Marcus SC, Wan GJ, Kemner JE, et al. Continuity of methylphenidate treatment for attention-deficit/hyperactivity disorder. Arch Pediatr Adolesc Med. 2005;159(6):572-578.
50. Cummings JR JX, Allen L, Lally C, et al. Racial and ethnic differences in ADHD treatment quality among Medicaid-enrolled youth. Pediatrics. 2017;139(6):e2016-e2044.
51. Hudson JL, Miller GE, Kirby JB. Explaining racial and ethnic differences in children’s use of stimulant medications. Med Care. 2007;45(11):1068-1075.
52. van den Ban E, Souverein PC, Swaab H, et al. Less discontinuation of ADHD drug use since the availability of long-acting ADHD medication in children, adolescents and adults under the age of 45 years in the Netherlands. Atten Defic Hyperact Disord. 2010;2(4):213-220.
53. Charach A, Ickowicz A, Schachar R. Stimulant treatment over five years: adherence, effectiveness, and adverse effects. J Am Acad Child Adolesc Psychiatry. 2004;43(5):559-567.
54. Toomey SL, Sox CM, Rusinak D, et al. Why do children with ADHD discontinue their medication? Clin Pediatr (Phila). 2012;51(8):763-769.
55. Brinkman WB, Simon JO, Epstein JN. Reasons why children and adolescents with attention-deficit/hyperactivity disorder stop and restart taking medicine. Acad Pediatr. 2018;18(3):273-280.
56. Wehmeier PM, Dittmann RW, Banaschewski T. Treatment compliance or medication adherence in children and adolescents on ADHD medication in clinical practice: results from the COMPLY observational study. Atten Defic Hyperact Disord. 2015;7(2):165-174.
57. Frank E, Ozon C, Nair V, et al. Examining why patients with attention-deficit/hyperactivity disorder lack adherence to medication over the long term: a review and analysis. J Clin Psychiatry. 2015;76(11):e1459-e1468.
58. Pozzi M, Carnovale C, Peeters G, et al. Adverse drug events related to mood and emotion in paediatric patients treated for ADHD: a meta-analysis. J Affect Disord. 2018;238:161-178.
59. Stuckelman ZD, Mulqueen JM, Ferracioli-Oda E, et al. Risk of irritability with psychostimulant treatment in children with ADHD: a meta-analysis. J Clin Psychiatry. 2017;78(6):e648-e655.
60. Cortese S, Adamo N, Del Giovane C, et al. Comparative efficacy and tolerability of medications for attention-deficit hyperactivity disorder in children, adolescents, and adults: a systematic review and network meta-analysis. Lancet Psychiatry. 2018;5(9):727-738.
61. Lawson KA, Johnsrud M, Hodgkins P, et al. Utilization patterns of stimulants in ADHD in the Medicaid population: a retrospective analysis of data from the Texas Medicaid program. Clin Ther. 2012;34(4):944-956 e944.
62. Olfson M, Marcus S, Wan G. Stimulant dosing for children with ADHD: a medical claims analysis. J Am Acad Child Adolesc Psychiatry. 2009;48(1):51-59.
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