Literature DB >> 21945975

Improving risk equalization using multiple-year high cost as a health indicator.

Richard C van Kleef1, René C J A van Vliet.   

Abstract

BACKGROUND: More and more competitive health insurance markets use risk equalization to compensate health plans for the predictable high costs of chronically ill enrollees. In the presence of premium rate restrictions, an important goal of risk equalization is to reduce incentives for selection, while maintaining incentives for efficiency. The literature shows, however, that even the most sophisticated risk equalization models--which include both diagnoses-based and pharmacy-based indicators of health status--do not reduce incentives for selection sufficiently.
OBJECTIVES: The goal of this study is to examine the extent to which a sophisticated risk-equalization model can be improved by using multiple-year high cost as a health indicator. The idea is that health plans receive an additional compensation for enrollees whose costs were in the top-15% in each of the 3 preceding years, assuming that this group contains a substantial overrepresentation of people with a chronic condition. RESEARCH
DESIGN: We examine 3 types of additional compensation: (1) retrospective compensation, (2) fixed prospective compensation, and (3) continuous prospective compensation.
SUBJECTS: We use individual-level information on medical costs and risk characteristics from the period 2004 to 2007 for almost the entire Dutch population. MEASURES: The effect on selection incentives is measured by predictive ratios for subgroups of enrollees who were undercompensated in previous years. The effect on efficiency incentives is quantified by the relationship between cost and compensation. RESULTS AND
CONCLUSIONS: All 3 modalities substantially reduce incentives for selection, but--to some extent--also reduce incentives for efficiency. With respect to these criteria, the continuous prospective compensation outperforms the other 2 modalities.

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Year:  2012        PMID: 21945975     DOI: 10.1097/MLR.0b013e31822ebf8b

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  6 in total

1.  Overpaying morbidity adjusters in risk equalization models.

Authors:  R C van Kleef; R C J A van Vliet; W P M M van de Ven
Journal:  Eur J Health Econ       Date:  2015-09-29

2.  Improving the prediction model used in risk equalization: cost and diagnostic information from multiple prior years.

Authors:  S H C M van Veen; R C van Kleef; W P M M van de Ven; R C J A van Vliet
Journal:  Eur J Health Econ       Date:  2014-02-12

3.  Predictive risk modelling in the Spanish population: a cross-sectional study.

Authors:  Juan F Orueta; Roberto Nuño-Solinis; Maider Mateos; Itziar Vergara; Gonzalo Grandes; Santiago Esnaola
Journal:  BMC Health Serv Res       Date:  2013-07-09       Impact factor: 2.655

4.  Risk equalization in competitive health insurance markets: Identifying healthy individuals on the basis of multiple-year low spending.

Authors:  Frank Eijkenaar; René C J A van Vliet; Richard C van Kleef
Journal:  Health Serv Res       Date:  2018-10-16       Impact factor: 3.402

5.  How to deal with persistently low/high spenders in health plan payment systems?

Authors:  Richard C van Kleef; René C J A van Vliet
Journal:  Health Econ       Date:  2022-02-08       Impact factor: 2.395

6.  Improving risk equalization with constrained regression.

Authors:  Richard C van Kleef; Thomas G McGuire; René C J A van Vliet; Wynand P P M van de Ven
Journal:  Eur J Health Econ       Date:  2016-12-10
  6 in total

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