Literature DB >> 25561644

Variations in county-level costs between traditional medicare and medicare advantage have implications for premium support.

Brian Biles1, Giselle Casillas2, Stuart Guterman3.   

Abstract

Concern about the future growth of Medicare spending has led some in Congress and elsewhere to promote converting Medicare to a "premium support" system. Under premium support, Medicare would provide a "defined contribution" to each Medicare beneficiary to purchase either a Medicare Advantage (MA)-type private health plan or the traditional Medicare public plan. To better understand the implications of such a shift, we compared the average costs per beneficiary of providing Medicare benefits at the county level for traditional Medicare and four types of MA plans. We found that the relative costs of Medicare Advantage and traditional Medicare varied greatly by MA plan type and by geographic location. The costs of health maintenance organization-type plans averaged 7 percent less than those of traditional Medicare, but the costs of the more loosely structured preferred provider organization and private fee-for-service plans averaged 12-18 percent more than those of traditional Medicare. In some counties MA plan costs averaged 28 percent less than costs in traditional Medicare, while in other counties MA plan costs averaged 26 percent more than traditional Medicare costs. Enactment of a Medicare premium-support proposal could trigger cost increases for beneficiaries participating in Medicare Advantage as well as those in traditional Medicare. Project HOPE—The People-to-People Health Foundation, Inc.

Keywords:  Cost of Health Care; Managed Care - Medicare < Managed Care; Medicare

Mesh:

Year:  2015        PMID: 25561644     DOI: 10.1377/hlthaff.2014.0768

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  1 in total

1.  Medicare Advantage and Fee-for-Service Performance on Clinical Quality and Patient Experience Measures: Comparisons from Three Large States.

Authors:  Justin W Timbie; Andy Bogart; Cheryl L Damberg; Marc N Elliott; Ann Haas; Sarah J Gaillot; Elizabeth H Goldstein; Susan M Paddock
Journal:  Health Serv Res       Date:  2017-12       Impact factor: 3.402

  1 in total

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