Literature DB >> 25663430

Do insurers respond to risk adjustment? A long-term, nationwide analysis from Switzerland.

Viktor von Wyl1,2,3, Konstantin Beck4,5.   

Abstract

Community rating in social health insurance calls for risk adjustment in order to eliminate incentives for risk selection. Swiss risk adjustment is known to be insufficient, and substantial risk selection incentives remain. This study develops five indicators to monitor residual risk selection. Three indicators target activities of conglomerates of insurers (with the same ownership), which steer enrollees into specific carriers based on applicants' risk profiles. As a proxy for their market power, those indicators estimate the amount of premium-, health care cost-, and risk-adjustment transfer variability that is attributable to conglomerates. Two additional indicators, derived from linear regression, describe the amount of residual cost differences between insurers that are not covered by risk adjustment. All indicators measuring conglomerate-based risk selection activities showed increases between 1996 and 2009, paralleling the establishment of new conglomerates. At their maxima in 2009, the indicator values imply that 56% of the net risk adjustment volume, 34% of premium variability, and 51% cost variability in the market were attributable to conglomerates. From 2010 onwards, all indicators decreased, coinciding with a pre-announced risk adjustment reform implemented in 2012. Likewise, the regression-based indicators suggest that the volume and variance of residual cost differences between insurers that are not equaled out by risk adjustment have decreased markedly since 2009 as a result of the latest reform. Our analysis demonstrates that risk-selection, especially by conglomerates, is a real phenomenon in Switzerland. However, insurers seem to have reduced risk selection activities to optimize their losses and gains from the latest risk adjustment reform.

Entities:  

Keywords:  Cream skimming; Risk adjustment; Social health insurance; Switzerland

Mesh:

Year:  2015        PMID: 25663430     DOI: 10.1007/s10198-015-0669-x

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  8 in total

1.  Measuring adverse selection in managed health care.

Authors:  R G Frank; J Glazer; T G McGuire
Journal:  J Health Econ       Date:  2000-11       Impact factor: 3.883

2.  How profitable is risk selection? A comparison of four risk adjustment models.

Authors:  Yujing Shen; Randall P Ellis
Journal:  Health Econ       Date:  2002-03       Impact factor: 3.046

3.  Risk adjustment in Switzerland.

Authors:  Konstantin Beck; Stefan Spycher; Alberto Holly; Lucien Gardiol
Journal:  Health Policy       Date:  2003-07       Impact factor: 2.980

4.  Risk adjustment in health insurance and its long-term effectiveness.

Authors:  Konstantin Beck; Maria Trottmann; Peter Zweifel
Journal:  J Health Econ       Date:  2010-04-02       Impact factor: 3.883

5.  A limited-sample benchmark approach to assess and improve the performance of risk equalization models.

Authors:  Pieter J A Stam; René C J A van Vliet; Wynand P M M van de Ven
Journal:  J Health Econ       Date:  2010-02-17       Impact factor: 3.883

6.  Risk equalization in The Netherlands: an empirical evaluation.

Authors:  Richard C Van Kleef; René C J A Van Vliet; Wynand P M M Van de Ven
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2013-11-01       Impact factor: 2.217

Review 7.  Risk selection in a regulated health insurance market: a review of the concept, possibilities and effects.

Authors:  Richard C van Kleef; Wynand P M M van de Ven; René C J A van Vliet
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2013-12       Impact factor: 2.217

Review 8.  Statutory health insurance competition in Europe: a four-country comparison.

Authors:  Sarah Thomson; Reinhard Busse; Luca Crivelli; Wynand van de Ven; Carine Van de Voorde
Journal:  Health Policy       Date:  2013-02-07       Impact factor: 2.980

  8 in total
  3 in total

1.  Improving risk equalization using information on physiotherapy diagnoses.

Authors:  Frank Eijkenaar; René C J A van Vliet
Journal:  Eur J Health Econ       Date:  2017-02-09

2.  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

3.  Proximity to death and health care expenditure increase revisited: A 15-year panel analysis of elderly persons.

Authors:  Viktor von Wyl
Journal:  Health Econ Rev       Date:  2019-03-11
  3 in total

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