IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v33y2024i1p137-152.html
   My bibliography  Save this article

The effect of prescription drug insurance on the incidence of potentially inappropriate prescribing: Evidence from Medicare Part D

Author

Listed:
  • Donghoon Lee
  • SangJune Kim
  • Jerome A. Dugan

Abstract

The Medicare Part D program has been documented to increase the affordability and accessibility of drugs and improve the quality of prescription drug use; however, less is known about the equity impact of the Part D program on potentially inappropriate prescribing—specifically, incidences of polypharmacy and potentially inappropriate medication (PIM) use based on different racial/ethnic groups. Using a difference in the regression discontinuity design, we found that among Whites, Part D was associated with increases in polypharmacy and “broadly defined” PIM use, while the use of “always avoid” PIM remained unchanged. Conversely, Blacks and Hispanics reported no changes in such drug utilization patterns.

Suggested Citation

  • Donghoon Lee & SangJune Kim & Jerome A. Dugan, 2024. "The effect of prescription drug insurance on the incidence of potentially inappropriate prescribing: Evidence from Medicare Part D," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 137-152, January.
    • Handle: RePEc:wly:hlthec:v:33:y:2024:i:1:p:137-152
    DOI: 10.1002/hec.4766
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.4766
    Download Restriction: no
    File URL: https://libkey.io/10.1002/hec.4766?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey Diebold, 2018. "The Effects of Medicare Part D on Health Outcomes of Newly Covered Medicare Beneficiaries," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(5), pages 890-900.
    2. Alpert, Abby, 2016. "The anticipatory effects of Medicare Part D on drug utilization," Journal of Health Economics, Elsevier, vol. 49(C), pages 28-45.
    3. Dhaval Dave & Robert Kaestner, 2009. "Health insurance and ex ante moral hazard: evidence from Medicare," International Journal of Health Economics and Management, Springer, vol. 9(4), pages 367-390, December.
    4. Greene, William, 2008. "Functional forms for the negative binomial model for count data," Economics Letters, Elsevier, vol. 99(3), pages 585-590, June.
    5. Tianyan Hu & Sandra L. Decker & Shin-Yi Chou, 2017. "The impact of health insurance expansion on physician treatment choice: Medicare Part D and physician prescribing," International Journal of Health Economics and Management, Springer, vol. 17(3), pages 333-358, September.
    6. Abraham Abebe Asfaw, 2019. "The effect of prescription drug insurance on health behavior: Evidence from Medicare Part D," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 403-418, March.
    7. James Kirby & Toshiko Kaneda, 2010. "Unhealthy and uninsured: Exploring racial differences in health and health insurance coverage using a life table approach," Demography, Springer;Population Association of America (PAA), vol. 47(4), pages 1035-1051, November.
    8. Andreas Olden & Jarle Møen, 2022. "The triple difference estimator [Semiparametric difference-in-differences estimators]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 531-553.
    9. David Card & Carlos Dobkin & Nicole Maestas, 2008. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare," American Economic Review, American Economic Association, vol. 98(5), pages 2242-2258, December.
    10. Huh, Jason & Reif, Julian, 2017. "Did Medicare Part D reduce mortality?," Journal of Health Economics, Elsevier, vol. 53(C), pages 17-37.
    11. Mueller, C. & Schur, C. & O'Connell, J., 1997. "Prescription drug spending: The impact of age and chronic disease status," American Journal of Public Health, American Public Health Association, vol. 87(10), pages 1626-1629.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abraham Abebe Asfaw, 2019. "The effect of prescription drug insurance on health behavior: Evidence from Medicare Part D," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 403-418, March.
    2. Daniel Kaliski, 2023. "Identifying the impact of health insurance on subgroups with changing rates of diagnosis," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2098-2112, September.
    3. Aparna Soni, 2020. "The effects of public health insurance on health behaviors: Evidence from the fifth year of Medicaid expansion," Health Economics, John Wiley & Sons, Ltd., vol. 29(12), pages 1586-1605, December.
    4. Laetitia Lebihan, 2023. "The impact of a mandatory universal drug insurance program on health behaviors and outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2006-2046, September.
    5. Charles Courtemanche & James Marton & Benjamin Ukert & Aaron Yelowitz & Daniela Zapata, 2018. "Early Effects of the Affordable Care Act on Health Care Access, Risky Health Behaviors, and Self‐Assessed Health," Southern Economic Journal, John Wiley & Sons, vol. 84(3), pages 660-691, January.
    6. Charles Courtemanche & James Marton & Benjamin Ukert & Aaron Yelowitz & Daniela Zapata, 2019. "Effects of the Affordable Care Act on Health Behaviors After 3 Years," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(1), pages 7-33, January.
    7. Courtemanche, Charles & Marton, James & Ukert, Benjamin & Yelowitz, Aaron & Zapata, Daniela, 2018. "Effects of the Affordable Care Act on Health Behaviors after Three Years," IZA Discussion Papers 11468, Institute of Labor Economics (IZA).
    8. Darkwah, Frank, 2022. "Does free health insurance improve health care use and labour market outcomes of the elderly in Ghana?," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    9. Andrey Aistov & Ekaterina Aleksandrova & Christopher J. Gerry, 2021. "Voluntary private health insurance, health-related behaviours and health outcomes: evidence from Russia," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(2), pages 281-309, March.
    10. Majo, M.C., 2010. "A microeconometric analysis of health care utilization in Europe," Other publications TiSEM 1cf5fd2f-8146-4ef8-8eb5-e, Tilburg University, School of Economics and Management.
    11. Dhaval M. Dave & Robert Kaestner & George L. Wehby, 2015. "Does Medicaid Coverage for Pregnant Women Affect Prenatal Health Behaviors?," NBER Working Papers 21049, National Bureau of Economic Research, Inc.
    12. Nicolas R. Ziebarth, 2018. "Social Insurance and Health," Contributions to Economic Analysis, in: Health Econometrics, volume 127, pages 57-84, Emerald Group Publishing Limited.
    13. DiNardi, Michael, 2021. "Aging out of the federal dependent coverage mandate and purchases of prescription drugs with high rates of misuse," Economics & Human Biology, Elsevier, vol. 43(C).
    14. Ghosh, Ausmita & Simon, Kosali & Sommers, Benjamin D., 2019. "The Effect of Health Insurance on Prescription Drug Use Among Low-Income Adults:Evidence from Recent Medicaid Expansions," Journal of Health Economics, Elsevier, vol. 63(C), pages 64-80.
    15. Qin, Xuezheng & Pan, Jay & Liu, Gordon G., 2014. "Does participating in health insurance benefit the migrant workers in China? An empirical investigation," China Economic Review, Elsevier, vol. 30(C), pages 263-278.
    16. Rebecca M. Myerson & Reginald D. Tucker‐Seeley & Dana P. Goldman & Darius N. Lakdawalla, 2020. "Does Medicare Coverage Improve Cancer Detection and Mortality Outcomes?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(3), pages 577-604, June.
    17. Aparna Soni, 2024. "Estimating price elasticities of demand for pain relief drugs: evidence from Medicare Part D," International Journal of Health Economics and Management, Springer, vol. 24(4), pages 481-515, December.
    18. Walter Beckert & Daniel Kaliski, 2019. "Honest inference for discrete outcomes," CeMMAP working papers CWP67/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Barbaresco, Silvia & Courtemanche, Charles J. & Qi, Yanling, 2015. "Impacts of the Affordable Care Act dependent coverage provision on health-related outcomes of young adults," Journal of Health Economics, Elsevier, vol. 40(C), pages 54-68.
    20. White-Means, Shelley I. & Osmani, Ahmad Reshad, 2018. "Affordable Care Act and Disparities in Health Services Utilization among Ethnic Minoritiy Breast Cancer Survivors: Evidence from Longitudinal Medical Expenditure Panel Surveys 2008-2015," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15(9), pages 1-26.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:33:y:2024:i:1:p:137-152. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.