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Prescription Drug Monitoring Programs and Opioid Prescriptions for Disability Conditions

Author

Listed:
  • Orgul Ozturk

    (University of South Carolina)

  • Yuan Hong

    (University of South Carolina University of South Carolina)

  • Suzanne McDermott

    (City University of New York)

  • Margaret Turk

    (Upstate Medical University)

Abstract

Background There are variants of prescription drug monitoring programs (PDMPs) and different groups of patients who are prescribed opioids. Patients with disabilities and those with chronic conditions might have different experiences in physician prescribing practices for opioids, when compared to a comparison group without these conditions. Objective To determine differences in opioid prescriptions related to PDMPs for people without cancer-related pain and with disability conditions compared to other adult opioid users without cancer, using a national database. Method Opioid users were identified from the US Medical Expenditure Panel Survey. Disability groups were defined by diagnosis codes related to longstanding physical disability and inflammatory conditions. Our analyses used an event study framework and a difference-in-differences approach. Results During a two-year panel period, PDMPs did not reduce opioid prescriptions for individuals with disabilities who use opioids. Our data show that individuals with disabilities who use opioids, on average, have a higher incidence of continuous opioid use and significantly greater amounts prescribed compared to other adults who have opioid prescriptions. Conclusion PDMPs do not appear to affect prescribers’ initial or ongoing use of opioids for individuals with longstanding physical disabilities and those with inflammatory conditions. Thus, these adults have greater exposure to opioids, compared to other adults who were prescribed opioids.

Suggested Citation

  • Orgul Ozturk & Yuan Hong & Suzanne McDermott & Margaret Turk, 2021. "Prescription Drug Monitoring Programs and Opioid Prescriptions for Disability Conditions," Applied Health Economics and Health Policy, Springer, vol. 19(3), pages 415-428, May.
    • Handle: RePEc:spr:aphecp:v:19:y:2021:i:3:d:10.1007_s40258-020-00622-4
    DOI: 10.1007/s40258-020-00622-4
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    References listed on IDEAS

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    1. Andrew Goodman-Bacon, 2018. "Difference-in-Differences with Variation in Treatment Timing," NBER Working Papers 25018, National Bureau of Economic Research, Inc.
    2. Anca M. Grecu & Dhaval M. Dave & Henry Saffer, 2019. "Mandatory Access Prescription Drug Monitoring Programs and Prescription Drug Abuse," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(1), pages 181-209, January.
    3. Thomas C. Buchmueller & Colleen Carey, 2018. "The Effect of Prescription Drug Monitoring Programs on Opioid Utilization in Medicare," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 77-112, February.
    4. Jill Horwitz & Corey S. Davis & Lynn S. McClelland & Rebecca S. Fordon & Ellen Meara, 2018. "The Problem of Data Quality in Analyses of Opioid Regulation: The Case of Prescription Drug Monitoring Programs," NBER Working Papers 24947, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Johanna Catherine Maclean & Justine Mallatt & Christopher J. Ruhm & Kosali Simon, 2022. "The Opioid Crisis, Health, Healthcare, and Crime: A Review of Quasi-Experimental Economic Studies," The ANNALS of the American Academy of Political and Social Science, , vol. 703(1), pages 15-49, September.

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