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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Veröffentlicht in:Health policy (Amsterdam) 2014-03, Vol.115 (1), p.52-59
Hauptverfasser: van Kleef, R.C, van Vliet, R.C.J.A, van Rooijen, E.M
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van Vliet, R.C.J.A
van Rooijen, E.M
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. 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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%. 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Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk</topic><topic>Risk Adjustment - economics</topic><topic>Risk Adjustment - statistics &amp; 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 &amp; 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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source MEDLINE; PAIS Index; Elsevier ScienceDirect Journals; Applied Social Sciences Index & Abstracts (ASSIA)
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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