STUDY DESIGN: Retrospective longitudinal cohort analysis of patients diagnosed in 2010, with continuous enrollment 6 months prior to and 12 months following the initial visit. OBJECTIVE: To determine whether provider specialty influences patterns of opiate utilization long after initial diagnosis. SUMMARY OF BACKGROUND DATA: Patients with low back pain present to a variety of providers and receive a spectrum of treatments, including opiate medications. The impact of initial provider type on opiate use in this population is uncertain. METHODS: We performed a retrospective analysis of opiate-naïve adult patients in the United States with newly diagnosed low back or lower extremity pain. We estimated the risk of early opiate prescription (≤14 d from diagnosis) and long-term opiate use (≥six prescriptions in 12 mo) based on the provider type at initial diagnosis using multivariable logistic regression, adjusting for patient demographics and comorbidities. RESULTS: We identified 478,981 newly diagnosed opiate-naïve patients. Of these, 40.4% received an opiate prescription within 1 year and 4.0% met criteria for long-term use. The most common initial provider type was family practice, associated with a 24.4% risk of early opiate prescription (95% CI, 24.1-24.6) and a 2.0% risk of long-term opiate use (95% CI, 2.0-2.1). Risk of receiving an early opiate prescription was higher among patients initially diagnosed by emergency medicine (43.1%; 95% CI, 41.6-44.5) or at an urgent care facility (40.8%; 95% CI, 39.4-42.3). Risk of long-term opiate use was highest for patients initially diagnosed by pain management/anesthesia (6.7%; 95% CI, 6.0-7.3) or physical medicine and rehabilitation (3.4%; 95% CI, 3.1-3.8) providers. CONCLUSION: Initial provider type influences early opiate prescription and long-term opiate use among opiate-naïve patients with newly diagnosed low back and lower extremity pain. LEVEL OF EVIDENCE: 3.
STUDY DESIGN: Retrospective longitudinal cohort analysis of patients diagnosed in 2010, with continuous enrollment 6 months prior to and 12 months following the initial visit. OBJECTIVE: To determine whether provider specialty influences patterns of opiate utilization long after initial diagnosis. SUMMARY OF BACKGROUND DATA: Patients with low back pain present to a variety of providers and receive a spectrum of treatments, including opiate medications. The impact of initial provider type on opiate use in this population is uncertain. METHODS: We performed a retrospective analysis of opiate-naïve adult patients in the United States with newly diagnosed low back or lower extremity pain. We estimated the risk of early opiate prescription (≤14 d from diagnosis) and long-term opiate use (≥six prescriptions in 12 mo) based on the provider type at initial diagnosis using multivariable logistic regression, adjusting for patient demographics and comorbidities. RESULTS: We identified 478,981 newly diagnosed opiate-naïve patients. Of these, 40.4% received an opiate prescription within 1 year and 4.0% met criteria for long-term use. The most common initial provider type was family practice, associated with a 24.4% risk of early opiate prescription (95% CI, 24.1-24.6) and a 2.0% risk of long-term opiate use (95% CI, 2.0-2.1). Risk of receiving an early opiate prescription was higher among patients initially diagnosed by emergency medicine (43.1%; 95% CI, 41.6-44.5) or at an urgent care facility (40.8%; 95% CI, 39.4-42.3). Risk of long-term opiate use was highest for patients initially diagnosed by pain management/anesthesia (6.7%; 95% CI, 6.0-7.3) or physical medicine and rehabilitation (3.4%; 95% CI, 3.1-3.8) providers. CONCLUSION: Initial provider type influences early opiate prescription and long-term opiate use among opiate-naïve patients with newly diagnosed low back and lower extremity pain. LEVEL OF EVIDENCE: 3.
Authors: Tej D Azad; Yi Zhang; Martin N Stienen; Daniel Vail; Jason P Bentley; Allen L Ho; Paras Fatemi; Daniel Herrick; Lily H Kim; Austin Feng; Kunal Varshneya; Michael Jin; Anand Veeravagu; Jayanta Bhattacharya; Manisha Desai; Anna Lembke; John K Ratliff Journal: J Gen Intern Med Date: 2019-11-12 Impact factor: 5.128
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Authors: Lily H Kim; Daniel Vail; Tej D Azad; Jason P Bentley; Yi Zhang; Allen L Ho; Paras Fatemi; Austin Feng; Kunal Varshneya; Manisha Desai; Anand Veeravagu; John K Ratliff Journal: JAMA Netw Open Date: 2019-05-03
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