Diagnoses-based cost groups in the Dutch risk-equalization model: The effects of including outpatient diagnoses
Abstract Background The Dutch basic health-insurance scheme for curative care includes a risk equalization model (RE-model) to compensate competing health insurers for the predictable high costs of people in poor health. Since 2004, this RE-model includes the so-called Diagnoses-based Cost Groups (D...
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description | Abstract Background The Dutch basic health-insurance scheme for curative care includes a risk equalization model (RE-model) to compensate competing health insurers for the predictable high costs of people in poor health. Since 2004, this RE-model includes the so-called Diagnoses-based Cost Groups (DCGs) as a risk adjuster. Until 2013, these DCGs have been mainly based on diagnoses from inpatient hospital treatment. Objectives This paper examines (1) to what extent the Dutch RE-model can be improved by extending the inpatient DCGs with diagnoses from outpatient hospital treatment and (2) how to treat outpatient diagnoses relative to their corresponding inpatient diagnoses. Method Based on individual-level administrative costs we estimate the Dutch RE-model with three different DCG modalities. Using individual-level survey information from a prior year we examine the outcomes of these modalities for different groups of people in poor health. Conclusions We find that extending DCGs with outpatient diagnoses has hardly any effect on the R -squared of the RE-model, but reduces the undercompensation for people with a chronic condition by about 8%. With respect to incentives, it may be preferable to make no distinction between corresponding inpatient and outpatient diagnoses in the DCG-classification, although this will be at the expense of the predictive accuracy of the RE-model. |
doi_str_mv | 10.1016/j.healthpol.2013.07.005 |
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Since 2004, this RE-model includes the so-called Diagnoses-based Cost Groups (DCGs) as a risk adjuster. Until 2013, these DCGs have been mainly based on diagnoses from inpatient hospital treatment. Objectives This paper examines (1) to what extent the Dutch RE-model can be improved by extending the inpatient DCGs with diagnoses from outpatient hospital treatment and (2) how to treat outpatient diagnoses relative to their corresponding inpatient diagnoses. Method Based on individual-level administrative costs we estimate the Dutch RE-model with three different DCG modalities. Using individual-level survey information from a prior year we examine the outcomes of these modalities for different groups of people in poor health. Conclusions We find that extending DCGs with outpatient diagnoses has hardly any effect on the R -squared of the RE-model, but reduces the undercompensation for people with a chronic condition by about 8%. With respect to incentives, it may be preferable to make no distinction between corresponding inpatient and outpatient diagnoses in the DCG-classification, although this will be at the expense of the predictive accuracy of the RE-model.</description><identifier>ISSN: 0168-8510</identifier><identifier>EISSN: 1872-6054</identifier><identifier>DOI: 10.1016/j.healthpol.2013.07.005</identifier><identifier>PMID: 23910732</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ireland Ltd</publisher><subject><![CDATA[Adolescent ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Child ; Child, Preschool ; Claims data ; Cost ; Diagnosis-Related Groups - economics ; Diagnosis-Related Groups - statistics & numerical data ; Female ; Health administration ; Health care ; Health Care Costs - statistics & numerical data ; Health insurance ; Health status ; Hospital diagnoses ; Hospital treatment ; Hospitalization ; Hospitals ; Humans ; Incentives ; Individual differences ; Infant ; Infant, Newborn ; Inpatients - statistics & numerical data ; Insurance, Health - economics ; Insurance, Health - statistics & numerical data ; Internal Medicine ; Male ; Medical sciences ; Middle Aged ; Miscellaneous ; Models, Economic ; Netherlands ; Netherlands - epidemiology ; Outpatient treatment ; Outpatients - statistics & numerical data ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Risk ; Risk Adjustment - economics ; Risk Adjustment - statistics & numerical data ; Risk equalization ; Sex Factors ; Survey data ; Surveys ; Young Adult]]></subject><ispartof>Health policy (Amsterdam), 2014-03, Vol.115 (1), p.52-59</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2013 Elsevier Ireland Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c555t-b275e9d52c939b44bc3a30e5737a613168959bb3c3786ff6c765ba94995ca1503</citedby><cites>FETCH-LOGICAL-c555t-b275e9d52c939b44bc3a30e5737a613168959bb3c3786ff6c765ba94995ca1503</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.healthpol.2013.07.005$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27846,27905,27906,30981,45976</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28307515$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23910732$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>van Kleef, R.C</creatorcontrib><creatorcontrib>van Vliet, R.C.J.A</creatorcontrib><creatorcontrib>van Rooijen, E.M</creatorcontrib><title>Diagnoses-based cost groups in the Dutch risk-equalization model: The effects of including outpatient diagnoses</title><title>Health policy (Amsterdam)</title><addtitle>Health Policy</addtitle><description>Abstract Background The Dutch basic health-insurance scheme for curative care includes a risk equalization model (RE-model) to compensate competing health insurers for the predictable high costs of people in poor health. Since 2004, this RE-model includes the so-called Diagnoses-based Cost Groups (DCGs) as a risk adjuster. Until 2013, these DCGs have been mainly based on diagnoses from inpatient hospital treatment. Objectives This paper examines (1) to what extent the Dutch RE-model can be improved by extending the inpatient DCGs with diagnoses from outpatient hospital treatment and (2) how to treat outpatient diagnoses relative to their corresponding inpatient diagnoses. Method Based on individual-level administrative costs we estimate the Dutch RE-model with three different DCG modalities. Using individual-level survey information from a prior year we examine the outcomes of these modalities for different groups of people in poor health. Conclusions We find that extending DCGs with outpatient diagnoses has hardly any effect on the R -squared of the RE-model, but reduces the undercompensation for people with a chronic condition by about 8%. With respect to incentives, it may be preferable to make no distinction between corresponding inpatient and outpatient diagnoses in the DCG-classification, although this will be at the expense of the predictive accuracy of the RE-model.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Claims data</subject><subject>Cost</subject><subject>Diagnosis-Related Groups - economics</subject><subject>Diagnosis-Related Groups - statistics & numerical data</subject><subject>Female</subject><subject>Health administration</subject><subject>Health care</subject><subject>Health Care Costs - statistics & numerical data</subject><subject>Health insurance</subject><subject>Health status</subject><subject>Hospital diagnoses</subject><subject>Hospital treatment</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Incentives</subject><subject>Individual differences</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Inpatients - statistics & numerical data</subject><subject>Insurance, Health - economics</subject><subject>Insurance, Health - statistics & numerical data</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Models, Economic</subject><subject>Netherlands</subject><subject>Netherlands - epidemiology</subject><subject>Outpatient treatment</subject><subject>Outpatients - statistics & numerical data</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Risk</subject><subject>Risk Adjustment - economics</subject><subject>Risk Adjustment - statistics & numerical data</subject><subject>Risk equalization</subject><subject>Sex Factors</subject><subject>Survey data</subject><subject>Surveys</subject><subject>Young Adult</subject><issn>0168-8510</issn><issn>1872-6054</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>7TQ</sourceid><recordid>eNqNks1u1DAURiMEokPhFcAbJDYJ13YcxyyQqpY_qRILytpynJsZTzPx1HaQytPjaKZFYsOs7MX57mfr3KJ4Q6GiQJv322qDZkybvR8rBpRXICsA8aRY0VaysgFRPy1WmWzLVlA4K17EuAUAyXnzvDhjXNF8Z6vCXzmznnzEWHYmYk-sj4msg5_3kbiJpA2SqznZDQku3pZ4N5vR_TbJ-YnsfI_jB3KTERwGtCkSP-SQHefeTWvi57TPJE6J9A8tL4tngxkjvjqe58XPz59uLr-W19-_fLu8uC6tECKVHZMCVS-YVVx1dd1ZbjigkFyahvL8LyVU13HLZdsMQ2NlIzqjaqWENVQAPy_eHebug7-bMSa9c9HiOJoJ_Rw1lVw0glPR_B8VNVUtVZSdgDLegmS1OgEFxnndyjaj8oDa4GMMOOh9cDsT7jUFvejWW_2oWy-6NUiddefk62PJ3O2wf8w9-M3A2yNgojXjEMxkXfzLtRykoMugiwOH2ckvh0FHm8VZ7F3IYnXv3QmP-fjPDDu6yeXaW7zHuPVzmLJyTXVkGvSPZTuX5aQcgKqa8T9q-OCv</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>van Kleef, R.C</creator><creator>van Vliet, R.C.J.A</creator><creator>van Rooijen, E.M</creator><general>Elsevier Ireland Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>7QJ</scope><scope>7TQ</scope><scope>DHY</scope><scope>DON</scope></search><sort><creationdate>20140301</creationdate><title>Diagnoses-based cost groups in the Dutch risk-equalization model: The effects of including outpatient diagnoses</title><author>van Kleef, R.C ; van Vliet, R.C.J.A ; van Rooijen, E.M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c555t-b275e9d52c939b44bc3a30e5737a613168959bb3c3786ff6c765ba94995ca1503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Claims data</topic><topic>Cost</topic><topic>Diagnosis-Related Groups - economics</topic><topic>Diagnosis-Related Groups - statistics & numerical data</topic><topic>Female</topic><topic>Health administration</topic><topic>Health care</topic><topic>Health Care Costs - statistics & numerical data</topic><topic>Health insurance</topic><topic>Health status</topic><topic>Hospital diagnoses</topic><topic>Hospital treatment</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Incentives</topic><topic>Individual differences</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Inpatients - statistics & numerical data</topic><topic>Insurance, Health - economics</topic><topic>Insurance, Health - statistics & numerical data</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Models, Economic</topic><topic>Netherlands</topic><topic>Netherlands - epidemiology</topic><topic>Outpatient treatment</topic><topic>Outpatients - statistics & numerical data</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk</topic><topic>Risk Adjustment - economics</topic><topic>Risk Adjustment - statistics & numerical data</topic><topic>Risk equalization</topic><topic>Sex Factors</topic><topic>Survey data</topic><topic>Surveys</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van Kleef, R.C</creatorcontrib><creatorcontrib>van Vliet, R.C.J.A</creatorcontrib><creatorcontrib>van Rooijen, E.M</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>PAIS Index</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><jtitle>Health policy (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>van Kleef, R.C</au><au>van Vliet, R.C.J.A</au><au>van Rooijen, E.M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnoses-based cost groups in the Dutch risk-equalization model: The effects of including outpatient diagnoses</atitle><jtitle>Health policy (Amsterdam)</jtitle><addtitle>Health Policy</addtitle><date>2014-03-01</date><risdate>2014</risdate><volume>115</volume><issue>1</issue><spage>52</spage><epage>59</epage><pages>52-59</pages><issn>0168-8510</issn><eissn>1872-6054</eissn><abstract>Abstract Background The Dutch basic health-insurance scheme for curative care includes a risk equalization model (RE-model) to compensate competing health insurers for the predictable high costs of people in poor health. Since 2004, this RE-model includes the so-called Diagnoses-based Cost Groups (DCGs) as a risk adjuster. Until 2013, these DCGs have been mainly based on diagnoses from inpatient hospital treatment. Objectives This paper examines (1) to what extent the Dutch RE-model can be improved by extending the inpatient DCGs with diagnoses from outpatient hospital treatment and (2) how to treat outpatient diagnoses relative to their corresponding inpatient diagnoses. Method Based on individual-level administrative costs we estimate the Dutch RE-model with three different DCG modalities. Using individual-level survey information from a prior year we examine the outcomes of these modalities for different groups of people in poor health. Conclusions We find that extending DCGs with outpatient diagnoses has hardly any effect on the R -squared of the RE-model, but reduces the undercompensation for people with a chronic condition by about 8%. With respect to incentives, it may be preferable to make no distinction between corresponding inpatient and outpatient diagnoses in the DCG-classification, although this will be at the expense of the predictive accuracy of the RE-model.</abstract><cop>Amsterdam</cop><pub>Elsevier Ireland Ltd</pub><pmid>23910732</pmid><doi>10.1016/j.healthpol.2013.07.005</doi><tpages>8</tpages></addata></record> |
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subjects | Adolescent Adult Age Factors Aged Aged, 80 and over Biological and medical sciences Child Child, Preschool Claims data Cost Diagnosis-Related Groups - economics Diagnosis-Related Groups - statistics & numerical data Female Health administration Health care Health Care Costs - statistics & numerical data Health insurance Health status Hospital diagnoses Hospital treatment Hospitalization Hospitals Humans Incentives Individual differences Infant Infant, Newborn Inpatients - statistics & numerical data Insurance, Health - economics Insurance, Health - statistics & numerical data Internal Medicine Male Medical sciences Middle Aged Miscellaneous Models, Economic Netherlands Netherlands - epidemiology Outpatient treatment Outpatients - statistics & numerical data Public health. Hygiene Public health. Hygiene-occupational medicine Risk Risk Adjustment - economics Risk Adjustment - statistics & numerical data Risk equalization Sex Factors Survey data Surveys Young Adult |
title | Diagnoses-based cost groups in the Dutch risk-equalization model: The effects of including outpatient diagnoses |
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