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Value-based insurance design in medicare

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  • William Encinosa

Abstract

Drug benefits have responded to the rise in drug costs by increasing patient cost sharing. However, many now realize that increasing cost sharing for high-value preventive-care drugs can be detrimental in terms of reducing patient drug adherence and causing increased inpatient and outpatient costs. Value-based insurance design (VBID) deals with this by decreasing the co-payments for high-value preventive-care drugs and raising copayments for drugs with less value. The Medicare Part D drug benefit in the US could benefit greatly from VBID, especially since the Part D stand-alone plans currently have no incentive to reduce inpatient and outpatient costs. While VBID will improve outcomes and avert hospitalizations, it will not result in net cost savings since high drug prices usually overwhelm any inpatient and outpatient cost offsets. Thus, for VBID to reap net cost savings, it must be combined with value-based purchasing of drugs, and it must move beyond just the lowering of copayments and increase incentives by giving rebates to patients so that they can share in the cost savings of improved drug adherence. Copyright Adis Data Information BV 2009

Suggested Citation

  • William Encinosa, 2009. "Value-based insurance design in medicare," Applied Health Economics and Health Policy, Springer, vol. 7(3), pages 149-154, September.
  • Handle: RePEc:spr:aphecp:v:7:y:2009:i:3:p:149-154
    DOI: 10.1007/BF03256148
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    References listed on IDEAS

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    1. Avi Dor & William Encinosa, 2004. "How Does Cost-Sharing Affect Drug Purchases? Insurance Regimes in the Private Market for Prescription Drugs," NBER Working Papers 10738, National Bureau of Economic Research, Inc.
    2. Amitabh Chandra & Jonathan Gruber & Robin McKnight, 2007. "Patient Cost-Sharing, Hospitalization Offsets, and the Design of Optimal Health Insurance for the Elderly," NBER Working Papers 12972, National Bureau of Economic Research, Inc.
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    4. Helen Levy & David R. Weir, 2010. "Take-up of Medicare Part D: Results From the Health and Retirement Study," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 65(4), pages 492-501.
    5. Gaynor Martin & Li Jian & Vogt William B, 2007. "Substitution, Spending Offsets, and Prescription Drug Benefit Design," Forum for Health Economics & Policy, De Gruyter, vol. 10(2), pages 1-33, July.
    6. Avi Dor, 2004. "Optimal Price Rules, Administered Prices and Suboptimal Prevention: Evidence from a Medicare Program," Journal of Regulatory Economics, Springer, vol. 25(1), pages 81-104, January.
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