Literature DB >> 12371568

Using survey measures to assess risk selection among Medicare managed care plans.

Alan M Zaslavsky1, Melinda J Beeuwkes Buntin.   

Abstract

This paper quantifies risk selection among competing Medicare managed care plans, using beneficiary survey data from the Consumer Assessments of Health Plans Survey. Selection, measured by variation in plan-level prevalence of health conditions and predicted costs, was substantial. A plan with moderate (one standard deviation) adverse selection would have predicted costs 11.6% above an average plan. Only a small part of this variation was explained by the geographical differences in the prevalence of health conditions among or within Metropolitan Statistical Areas, indicating that the selection was driven by plan attributes. Plans serving members with greater health needs have the potential to establish programs to serve these sick members well, yet this places plans at financial risk. Hence, improved risk adjustment for chronic conditions may be warranted. Moreover, survey measures have the potential to measure the prevalence of such conditions reliably and consistently across plans.

Mesh:

Year:  2002        PMID: 12371568     DOI: 10.5034/inquiryjrnl_39.2.138

Source DB:  PubMed          Journal:  Inquiry        ISSN: 0046-9580            Impact factor:   1.730


  3 in total

1.  Implications of Variation in the Relationships between Beneficiary Characteristics and Medicare Advantage CAHPS Measures.

Authors:  Laura A Hatfield; Alan M Zaslavsky
Journal:  Health Serv Res       Date:  2016-08-08       Impact factor: 3.402

2.  Risk-adjusted capitation rates for children: how useful are the survey-based measures?

Authors:  Hao Yu; Andrew W Dick
Journal:  Health Serv Res       Date:  2010-09-01       Impact factor: 3.402

3.  Analysis Of Medicare Advantage HMOs compared with traditional Medicare shows lower use of many services during 2003-09.

Authors:  Bruce E Landon; Alan M Zaslavsky; Robert C Saunders; L Gregory Pawlson; Joseph P Newhouse; John Z Ayanian
Journal:  Health Aff (Millwood)       Date:  2012-12       Impact factor: 6.301

  3 in total

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