Using Survey Measures to Assess Risk Selection among Medicare Managed Care Plans

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 mode...

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Main Authors: Alan M. Zaslavsky, Melinda J. Beeuwkes Buntin
Format: Article
Language:English
Published: SAGE Publishing 2002-05-01
Series:Inquiry: The Journal of Health Care Organization, Provision, and Financing
Online Access:https://doi.org/10.5034/inquiryjrnl_39.2.138
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spelling doaj-e84a714e23754884bdd9109ece23d3f02020-11-25T03:44:11ZengSAGE PublishingInquiry: The Journal of Health Care Organization, Provision, and Financing0046-95802002-05-013910.5034/inquiryjrnl_39.2.138Using Survey Measures to Assess Risk Selection among Medicare Managed Care PlansAlan M. ZaslavskyMelinda J. Beeuwkes BuntinThis 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.https://doi.org/10.5034/inquiryjrnl_39.2.138
collection DOAJ
language English
format Article
sources DOAJ
author Alan M. Zaslavsky
Melinda J. Beeuwkes Buntin
spellingShingle Alan M. Zaslavsky
Melinda J. Beeuwkes Buntin
Using Survey Measures to Assess Risk Selection among Medicare Managed Care Plans
Inquiry: The Journal of Health Care Organization, Provision, and Financing
author_facet Alan M. Zaslavsky
Melinda J. Beeuwkes Buntin
author_sort Alan M. Zaslavsky
title Using Survey Measures to Assess Risk Selection among Medicare Managed Care Plans
title_short Using Survey Measures to Assess Risk Selection among Medicare Managed Care Plans
title_full Using Survey Measures to Assess Risk Selection among Medicare Managed Care Plans
title_fullStr Using Survey Measures to Assess Risk Selection among Medicare Managed Care Plans
title_full_unstemmed Using Survey Measures to Assess Risk Selection among Medicare Managed Care Plans
title_sort using survey measures to assess risk selection among medicare managed care plans
publisher SAGE Publishing
series Inquiry: The Journal of Health Care Organization, Provision, and Financing
issn 0046-9580
publishDate 2002-05-01
description 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.
url https://doi.org/10.5034/inquiryjrnl_39.2.138
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