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Spillover Effects of Restrictive Drug Formularies on Physician Prescribing Behavior: Evidence from Medicaid

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  • Y. Richard Wang
  • Mark V. Pauly

Abstract

Restrictive drug formularies may influence physician prescribing behavior for other patients with more generous drug benefit, so‐called “spillover effects.” We focus on Protonix, a proton pump inhibitor, introduced at a discount price, and study subsequent physician prescribing decision for open‐formulary Medicaid patients. Using two national databases on physician prescribing patterns and health plan drug formularies, we find consistent evidence of significant, positive spillover effects from 1‐PPI and 2‐PPI formularies that include Protonix onto Medicaid, with a larger effect from the most restrictive, 1‐PPI formularies. Physicians who prescribe a higher proportion of Protonix to their non‐Medicaid patients because of restrictive formularies, also prescribe a higher proportion of Protonix to their Medicaid patients with an open formulary. Each 10% increase in Protonix's predicted non‐Medicaid share results in an 8% increase in its share of Medicaid prescriptions (p

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  • Y. Richard Wang & Mark V. Pauly, 2005. "Spillover Effects of Restrictive Drug Formularies on Physician Prescribing Behavior: Evidence from Medicaid," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 14(3), pages 755-773, September.
  • Handle: RePEc:bla:jemstr:v:14:y:2005:i:3:p:755-773
    DOI: 10.1111/j.1530-9134.2005.00081.x
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    1. Glied, Sherry & Zivin, Joshua Graff, 2002. "How do doctors behave when some (but not all) of their patients are in managed care?," Journal of Health Economics, Elsevier, vol. 21(2), pages 337-353, March.
    2. Baker, Laurence C., 1997. "The effect of HMOs on fee-for-service health care expenditures: Evidence from Medicare," Journal of Health Economics, Elsevier, vol. 16(4), pages 453-481, August.
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    1. Herr, A. & Suppliet, M., 2011. "Co-Payment Exemptions and Reference Prices: an Empirical Study of Pharmaceutical Prices in Germany," Health, Econometrics and Data Group (HEDG) Working Papers 11/18, HEDG, c/o Department of Economics, University of York.
    2. Suppliet, Moritz & Herr, Annika, 2016. "Cost-Sharing and Drug Pricing Strategies : Introducing Tiered Co-Payments in Reference Price Markets," Other publications TiSEM 4d692f0e-8577-4392-b413-2, Tilburg University, School of Economics and Management.
    3. Katharina E. Blankart & Friederike Arndt, 2020. "Physician-Level Cost Control Measures and Regional Variation of Biosimilar Utilization in Germany," IJERPH, MDPI, vol. 17(11), pages 1-14, June.
    4. Matthew C. Harris & Lawrence M. Kessler & Matthew N. Murray & Beth Glenn, 2020. "Prescription Opioids and Labor Market Pains: The Effect of Schedule II Opioids on Labor Force Participation and Unemployment," Journal of Human Resources, University of Wisconsin Press, vol. 55(4), pages 1319-1364.
    5. Andrew J. Epstein & Jonathan D. Ketcham, 2014. "Information technology and agency in physicians' prescribing decisions," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 422-448, June.
    6. Leila Agha & Soomi Kim & Danielle Li, 2020. "Insurance Design and Pharmaceutical Innovation," NBER Working Papers 27563, National Bureau of Economic Research, Inc.
    7. Jonathan Ketcham & Andrew Epstein, 2006. "Which Physicians are Affected Most by Medicaid Preferred Drug Lists for Statins and Antihypertensives?," PharmacoEconomics, Springer, vol. 24(3), pages 27-40, December.
    8. Shanjun Li & Ramanan Laxminarayan, 2015. "Are Physicians' Prescribing Decisions Sensitive to Drug Prices? Evidence from a Free‐antibiotics Program," Health Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 158-174, February.

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