Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Risk Adjustment in Health Insurance Markets

Do Not Overlook the “Real” Healthy

Bibliographic Data

ID9100276
AuthorsRichard C van Kleef (0000-0002-8971-6341, Center for Personalized Cancer Treatment, corresponding author), René C J A Van Vliet (Erasmus University Rotterdam), Michel Oskam (0000-0003-0052-785X, Erasmus University Rotterdam)
Year2024
Volume62
Issue11
Pages767-772
Publication date2024-11-01
Open AccessYes
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001955
PMID38047754
OpenAlexW4389298676
LanguageEN
References cited21

OBJECTIVES: The goals of this paper are: (1) to identify groups of healthy people; and (2) to quantify the extent to which the Dutch risk adjustment (RA) model overpays insurers for these groups. BACKGROUND: There have been strong signals that insurers in the Dutch regulated health insurance market engage in actions to attract healthy people. A potential explanation for this behavior is that the Dutch RA model overpays insurers for healthy people. METHODS: We identify healthy groups using 3 types of ex-ante information (ie, information available before the start of the health insurance contract): administrative data on prior spending for specific health care services (N = 17 m), diagnoses from electronic patient records (N = 1.3 m), and health survey data (N = 457 k). In a second step, we calculate the under/overpayment for these groups under the Dutch RA model (version: 2021). RESULTS: We distinguish eight groups of healthy people using various "identifiers." Although the Dutch RA model substantially reduces the predictable profits that insurers face for these groups, significant profits remain. The mean per person overpayment ranges from 38 euros (people with hospital spending below the third quartile in each of 3 prior years) to 167 euros (those without any medical condition according to their electronic patient record). CONCLUSIONS: The Dutch RA model does not eliminate the profitability of healthy groups. The identifiers used for flagging these groups, however, seem inappropriate for serving as risk adjuster variables. An alternative way of exploiting these identifiers and eliminating the profitability of healthy groups is to estimate RA models with "constrained regression."

Actuarial science · Business · Economics · Euros · Flagging · Health care · Health insurance · Identifier · Medical diagnosis · Profitability index · Quartile · Chronic Disease Management Strategies · Computer Science · Finance · Healthcare Policy and Management · Healthcare Systems and Reforms · Medicine

  • Do health insurers use target marketing as a tool for risk selection? Evidence from the Netherlands

    Open Access•Karel C F Stolper, Lieke H H M Boonen et al.•Health Policy•2022

  • Prior Use of Durable Medical Equipment as a Risk Adjuster for Health-Based Capitation

    Open Access•Richard C van Kleef, René C J A Van Vliet•INQUIRY The Journal of Health…•2010

  • Health-Based Risk Adjustment

    Open Access•Femmeke J Prinsze, René C J A Van Vliet•INQUIRY The Journal of Health…•2007

  • Upcoding

    Michael Geruso, Timothy Layton•Journal of Political Economy•2019

  • Improving Risk Equalization Using Multiple-year High Cost as a Health Indicator

    Richard C van Kleef, René C J A Van Vliet•Medical Care•2012

  • Clinical Risk Groups (CRGs)

    JOHN S HUGHES, Richard F Averill et al.•Medical Care•2004

  • Selection in Insurance Markets

    Open Access•Liran Einav, Amy Finkelstein•The Journal of Economic…•2011

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae