Using global ratings of health plans to improve the quality of health care
Global ratings, such as those based on consumer satisfaction, are a commonly used form of report on the performance of health plans and providers. A simple averaging of the global rating by plan members leads to a problem: it gives a plan greater incentives to improve services used by low-cost membe...
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Veröffentlicht in: | Journal of health economics 2008-09, Vol.27 (5), p.1182-1195 |
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container_title | Journal of health economics |
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creator | Glazer, Jacob McGuire, Thomas G. Cao, Zhun Zaslavsky, Alan |
description | Global ratings, such as those based on consumer satisfaction, are a commonly used form of report on the performance of health plans and providers. A simple averaging of the global rating by plan members leads to a problem: it gives a plan greater incentives to improve services used by low-cost members than services used by high-cost members. This paper presents a formal model of consumer formation of global ratings and the incentives these rating convey to plans. We use this model to characterize weights on consumer respondents to correct the incentive problem. We implement our proposed solution using data from the Consumer Assessments of Health Care Providers and Systems (CAHPS) and the Medicare Current Beneficiary Survey (MCBS). Our correction is low-cost, easily implemented on an on-going basis, and insensitive to assumptions about why health plans care about quality ratings. |
doi_str_mv | 10.1016/j.jhealeco.2008.05.004 |
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A simple averaging of the global rating by plan members leads to a problem: it gives a plan greater incentives to improve services used by low-cost members than services used by high-cost members. This paper presents a formal model of consumer formation of global ratings and the incentives these rating convey to plans. We use this model to characterize weights on consumer respondents to correct the incentive problem. We implement our proposed solution using data from the Consumer Assessments of Health Care Providers and Systems (CAHPS) and the Medicare Current Beneficiary Survey (MCBS). 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A simple averaging of the global rating by plan members leads to a problem: it gives a plan greater incentives to improve services used by low-cost members than services used by high-cost members. This paper presents a formal model of consumer formation of global ratings and the incentives these rating convey to plans. We use this model to characterize weights on consumer respondents to correct the incentive problem. We implement our proposed solution using data from the Consumer Assessments of Health Care Providers and Systems (CAHPS) and the Medicare Current Beneficiary Survey (MCBS). Our correction is low-cost, easily implemented on an on-going basis, and insensitive to assumptions about why health plans care about quality ratings.</description><subject>Choice Behavior</subject><subject>Consumer behavior</subject><subject>Consumer Behavior - economics</subject><subject>Consumer Behavior - statistics & numerical data</subject><subject>Consumers</subject><subject>Customer satisfaction</subject><subject>Disclosure - standards</subject><subject>Health Benefit Plans, Employee - economics</subject><subject>Health Benefit Plans, Employee - standards</subject><subject>Health care</subject><subject>Health care quality</subject><subject>Health Care Rationing - statistics & numerical data</subject><subject>Health Care Surveys</subject><subject>Health insurance</subject><subject>Health services</subject><subject>Humans</subject><subject>Incentives</subject><subject>Information Dissemination</subject><subject>Insurance Selection Bias</subject><subject>Managed Care Programs - economics</subject><subject>Managed Care Programs - standards</subject><subject>Measurement</subject><subject>Medicare - economics</subject><subject>Medicare - standards</subject><subject>Methodology</subject><subject>Models, Econometric</subject><subject>Motivation</subject><subject>Quality Assurance, Health Care - economics</subject><subject>Quality Assurance, Health Care - methods</subject><subject>Quality Indicators, Health Care</subject><subject>Quality of care</subject><subject>Quality of education</subject><subject>Quality of service</subject><subject>Quality reporting</subject><subject>Ratings</subject><subject>Satisfaction</subject><subject>Studies</subject><subject>United States</subject><issn>0167-6296</issn><issn>1879-1646</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>X2L</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkl2P1CAUhhujccfVv7BpvPCulY8C5cZoNn5mEm_ca0Lp6ZSmU7pAJ5l_v9QZ19WbITl8hOe8wHnJshuMSowwfz-UQw96BONKglBdIlYiVD3LNrgWssC84s-zTQJFwYnkV9mrEAaUGqPyZXaFayawYHiT_bgLdtrlu9E1esy9jmkVctflq3rs83nUU8ijy-1-9u4Aeewhv1_0aOPxCWa0h9fZi06PAd6cx-vs7svnX7ffiu3Pr99vP20Lw2sZCy1I3WpB64rKFiGJK1O3vKk6whrNAcmWaYFRJRjSbcdJXXUNJzzhtEEtk_Q6-3DSnZdmD62BKXo9qtnbvfZH5bRV_-5Mtlc7d1CECUExSwLvzgLe3S8QotrbYGBMTwW3BMVlJVlF-EWQCSIEF-QiSAXCjP8--u1_4OAWP6VyKYJYTVjFVoifIONdCB66x7dhpFb31aD-uK9W9xViKrmfErenRA8zmMcsAEi4cZM6KKqJSN1xnayZNFWLapZiToFxTRTGkqk-7pPczdNC_73F-fck4OMJgGT3wYJXwViYDLTWg4mqdfbSlR8AAJ7ctQ</recordid><startdate>20080901</startdate><enddate>20080901</enddate><creator>Glazer, Jacob</creator><creator>McGuire, Thomas G.</creator><creator>Cao, Zhun</creator><creator>Zaslavsky, Alan</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7T2</scope><scope>8BJ</scope><scope>C1K</scope><scope>FQK</scope><scope>JBE</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20080901</creationdate><title>Using global ratings of health plans to improve the quality of health care</title><author>Glazer, Jacob ; McGuire, Thomas G. ; Cao, Zhun ; Zaslavsky, Alan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c689t-a728da738439d00914c8d6b4f25ba6e09d5a7104750adf6284fb6268433b0d593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Choice Behavior</topic><topic>Consumer behavior</topic><topic>Consumer Behavior - economics</topic><topic>Consumer Behavior - statistics & numerical data</topic><topic>Consumers</topic><topic>Customer satisfaction</topic><topic>Disclosure - standards</topic><topic>Health Benefit Plans, Employee - economics</topic><topic>Health Benefit Plans, Employee - standards</topic><topic>Health care</topic><topic>Health care quality</topic><topic>Health Care Rationing - statistics & numerical data</topic><topic>Health Care Surveys</topic><topic>Health insurance</topic><topic>Health services</topic><topic>Humans</topic><topic>Incentives</topic><topic>Information Dissemination</topic><topic>Insurance Selection Bias</topic><topic>Managed Care Programs - economics</topic><topic>Managed Care Programs - standards</topic><topic>Measurement</topic><topic>Medicare - economics</topic><topic>Medicare - standards</topic><topic>Methodology</topic><topic>Models, Econometric</topic><topic>Motivation</topic><topic>Quality Assurance, Health Care - economics</topic><topic>Quality Assurance, Health Care - methods</topic><topic>Quality Indicators, Health Care</topic><topic>Quality of care</topic><topic>Quality of education</topic><topic>Quality of service</topic><topic>Quality reporting</topic><topic>Ratings</topic><topic>Satisfaction</topic><topic>Studies</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Glazer, Jacob</creatorcontrib><creatorcontrib>McGuire, Thomas G.</creatorcontrib><creatorcontrib>Cao, Zhun</creatorcontrib><creatorcontrib>Zaslavsky, Alan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of health economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Glazer, Jacob</au><au>McGuire, Thomas G.</au><au>Cao, Zhun</au><au>Zaslavsky, Alan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using global ratings of health plans to improve the quality of health care</atitle><jtitle>Journal of health economics</jtitle><addtitle>J Health Econ</addtitle><date>2008-09-01</date><risdate>2008</risdate><volume>27</volume><issue>5</issue><spage>1182</spage><epage>1195</epage><pages>1182-1195</pages><issn>0167-6296</issn><eissn>1879-1646</eissn><coden>JHECD9</coden><abstract>Global ratings, such as those based on consumer satisfaction, are a commonly used form of report on the performance of health plans and providers. A simple averaging of the global rating by plan members leads to a problem: it gives a plan greater incentives to improve services used by low-cost members than services used by high-cost members. This paper presents a formal model of consumer formation of global ratings and the incentives these rating convey to plans. We use this model to characterize weights on consumer respondents to correct the incentive problem. We implement our proposed solution using data from the Consumer Assessments of Health Care Providers and Systems (CAHPS) and the Medicare Current Beneficiary Survey (MCBS). Our correction is low-cost, easily implemented on an on-going basis, and insensitive to assumptions about why health plans care about quality ratings.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>18571751</pmid><doi>10.1016/j.jhealeco.2008.05.004</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Choice Behavior Consumer behavior Consumer Behavior - economics Consumer Behavior - statistics & numerical data Consumers Customer satisfaction Disclosure - standards Health Benefit Plans, Employee - economics Health Benefit Plans, Employee - standards Health care Health care quality Health Care Rationing - statistics & numerical data Health Care Surveys Health insurance Health services Humans Incentives Information Dissemination Insurance Selection Bias Managed Care Programs - economics Managed Care Programs - standards Measurement Medicare - economics Medicare - standards Methodology Models, Econometric Motivation Quality Assurance, Health Care - economics Quality Assurance, Health Care - methods Quality Indicators, Health Care Quality of care Quality of education Quality of service Quality reporting Ratings Satisfaction Studies United States |
title | Using global ratings of health plans to improve the quality of health care |
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