Ankit Agarwal1, Andrew Roberts2,3, Stacie B Dusetzina4, Trevor J Royce1. 1. Department of Radiation Oncology, University of North Carolina at Chapel Hill. 2. Department of Population Health, University of Kansas Medical Center, Kansas City. 3. Department of Anesthesiology, University of Kansas Medical Center, Kansas City. 4. Department of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee.
Abstract
Importance: In response to the opioid epidemic, policies aiming to reduce opioid prescribing, misuse, and abuse may have the unintended consequence of restricting access to necessary opioid therapy for cancer-related pain. It is unknown how opioid prescribing patterns have changed among generalists and oncologists during this era. Objective: To examine trends in opioid prescription rates for Medicare Part D beneficiaries from 2013 to 2017 among oncologists and generalists. Design, Setting, and Participants: This repeated cross-sectional study of generalist physicians (internal medicine, family medicine, geriatric medicine, general practice) and oncology specialists (medical oncology, hematology-oncology, and radiation oncology) analyzed the Medicare Provider Utilization and Payment Data: Part D prescriber files from 2013 to 2017. Exposures: Generalist vs oncology specialty. Main Outcomes and Measures: Outcomes included physician-level rates of both opioid and long-acting opioid prescriptions per 100 Medicare Part D beneficiaries. Poisson regression was used to estimate annual predicted outcome rates and incidence rate ratios, adjusting for prescriber characteristics and state fixed effects. Results: We analyzed the prescribing patterns of 251 820 generalists and 14 210 oncologists. From 2013 to 2017, the annual adjusted predicted mean rate of opioid prescriptions per 100 Medicare beneficiaries decreased from 68.2 to 49.7 among generalists (adjusted incidence rate ratio [aIRR] = 0.73; 95% CI, 0.73-0.73) and from 77.8 to 58.8 among oncologists (aIRR = 0.76; 95% CI, 0.74-0.77). The rate of long-acting opioid prescriptions per 100 Medicare beneficiaries also decreased from 8.0 to 5.4 for generalists (aIRR = 0.67; 95% CI, 0.66-0.68) and from 18.6 to 13.3 for oncologists (aIRR = 0.72; 95% CI, 0.69-0.74). Conclusions and Relevance: We found large declines in opioid prescription rates for Medicare beneficiaries by generalists and oncologists from 2013 to 2017. Opioid policy and advocacy appear to have been effective in reducing the extent of opioid prescribing in the Medicare population. Similar declines between generalists and oncologists raise concern that access to cancer pain management may have been inadvertently restricted. How much of the decrease in prescribing by oncologists is appropriate vs inappropriate deserves further investigation.
Importance: In response to the opioid epidemic, policies aiming to reduce opioid prescribing, misuse, and abuse may have the unintended consequence of restricting access to necessary opioid therapy for cancer-related pain. It is unknown how opioid prescribing patterns have changed among generalists and oncologists during this era. Objective: To examine trends in opioid prescription rates for Medicare Part D beneficiaries from 2013 to 2017 among oncologists and generalists. Design, Setting, and Participants: This repeated cross-sectional study of generalist physicians (internal medicine, family medicine, geriatric medicine, general practice) and oncology specialists (medical oncology, hematology-oncology, and radiation oncology) analyzed the Medicare Provider Utilization and Payment Data: Part D prescriber files from 2013 to 2017. Exposures: Generalist vs oncology specialty. Main Outcomes and Measures: Outcomes included physician-level rates of both opioid and long-acting opioid prescriptions per 100 Medicare Part D beneficiaries. Poisson regression was used to estimate annual predicted outcome rates and incidence rate ratios, adjusting for prescriber characteristics and state fixed effects. Results: We analyzed the prescribing patterns of 251 820 generalists and 14 210 oncologists. From 2013 to 2017, the annual adjusted predicted mean rate of opioid prescriptions per 100 Medicare beneficiaries decreased from 68.2 to 49.7 among generalists (adjusted incidence rate ratio [aIRR] = 0.73; 95% CI, 0.73-0.73) and from 77.8 to 58.8 among oncologists (aIRR = 0.76; 95% CI, 0.74-0.77). The rate of long-acting opioid prescriptions per 100 Medicare beneficiaries also decreased from 8.0 to 5.4 for generalists (aIRR = 0.67; 95% CI, 0.66-0.68) and from 18.6 to 13.3 for oncologists (aIRR = 0.72; 95% CI, 0.69-0.74). Conclusions and Relevance: We found large declines in opioid prescription rates for Medicare beneficiaries by generalists and oncologists from 2013 to 2017. Opioid policy and advocacy appear to have been effective in reducing the extent of opioid prescribing in the Medicare population. Similar declines between generalists and oncologists raise concern that access to cancer pain management may have been inadvertently restricted. How much of the decrease in prescribing by oncologists is appropriate vs inappropriate deserves further investigation.
Authors: Maria Teresa Greco; Anna Roberto; Oscar Corli; Silvia Deandrea; Elena Bandieri; Silvio Cavuto; Giovanni Apolone Journal: J Clin Oncol Date: 2014-11-17 Impact factor: 44.544
Authors: Paul A Glare; Pamela S Davies; Esmé Finlay; Amitabh Gulati; Dawn Lemanne; Natalie Moryl; Kevin C Oeffinger; Judith A Paice; Michael D Stubblefield; Karen L Syrjala Journal: J Clin Oncol Date: 2014-05-05 Impact factor: 44.544
Authors: Kurt Kroenke; Daniel P Alford; Charles Argoff; Bernard Canlas; Edward Covington; Joseph W Frank; Karl J Haake; Steven Hanling; W Michael Hooten; Stefan G Kertesz; Richard L Kravitz; Erin E Krebs; Steven P Stanos; Mark Sullivan Journal: Pain Med Date: 2019-04-01 Impact factor: 3.750
Authors: Jan Klimas; Lauren Gorfinkel; Nadia Fairbairn; Laura Amato; Keith Ahamad; Seonaid Nolan; David L Simel; Evan Wood Journal: JAMA Netw Open Date: 2019-05-03
Authors: Tarlise N Townsend; Talya Salz; Rebecca L Haffajee; Megan E V Caram; Fumiko Chino; Amy S B Bohnert Journal: J Pain Symptom Manage Date: 2021-10-15 Impact factor: 3.612
Authors: Lucas K Vitzthum; Vinit Nalawade; Paul Riviere; Mallika Marar; Timothy Furnish; Lewei A Lin; Reid Thompson; James D Murphy Journal: J Natl Cancer Inst Date: 2022-05-09 Impact factor: 11.816
Authors: Hailey W Bulls; Lindsay F Bell; Steven R Orris; Burel R Goodin; Jane M Liebschutz; Antoinette Wozniak; Jessica S Merlin; Yael Schenker Journal: Cancer Date: 2021-05-27 Impact factor: 6.921
Authors: Andrea C Enzinger; Kaushik Ghosh; Nancy L Keating; David M Cutler; Mary Beth Landrum; Alexi A Wright Journal: J Clin Oncol Date: 2021-07-22 Impact factor: 50.717