Literature DB >> 15556244

Risk selection and the specification of the conventional risk adjustment formula.

Erik Schokkaert1, Carine Van de Voorde.   

Abstract

We argue that a sharp distinction must be made between the empirical problem of finding the best equation for explaining medical expenditures and the normative question of deriving capitations which give health plans the appropriate incentives. We propose a procedure, taken from the social choice literature, to go from the estimated equations to the capitations. If the estimated equations are not additively separable in legitimate and illegitimate risk-adjusters, it is impossible to remove all incentives for risk selection while respecting at the same time a straightforward requirement of horizontal equity. This has immediate implications for the choice of the functional form. Moreover, in so far as the conventional risk adjustment literature only includes so-called "legitimate" risk-adjusters in the estimations, its results may suffer from omitted variables-bias. We illustrate our general methodological points with empirical results, obtained from a cross-section of 321,111 Belgian patients.

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Year:  2004        PMID: 15556244     DOI: 10.1016/S0167-6296(03)00040-7

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  12 in total

1.  Spatial risk adjustment between health insurances: using GWR in risk adjustment models to conserve incentives for service optimisation and reduce MAUP.

Authors:  Danny Wende
Journal:  Eur J Health Econ       Date:  2019-06-13

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.  Exploring the relationship between costs and quality: does the joint evaluation of costs and quality alter the ranking of Danish hospital departments?

Authors:  Anne Hvenegaard; Jacob Nielsen Arendt; Andrew Street; Dorte Gyrd-Hansen
Journal:  Eur J Health Econ       Date:  2010-08-02

4.  Association between fee-for-service expenditures and morbidity burden in primary care.

Authors:  Troels Kristensen; Kim Rose Olsen; Henrik Schroll; Janus Laust Thomsen; Anders Halling
Journal:  Eur J Health Econ       Date:  2013-07-02

5.  How are population-based funding formulae for healthcare composed? A comparative analysis of seven models.

Authors:  Erin Penno; Robin Gauld; Rick Audas
Journal:  BMC Health Serv Res       Date:  2013-11-08       Impact factor: 2.655

6.  Risk adjustment and observation time: comparison between cross-sectional and 2-year panel data from the Medical Expenditure Panel Survey (MEPS).

Authors:  Yi-Sheng Chao; Chao-Jung Wu; Tai-Shen Chen
Journal:  Health Inf Sci Syst       Date:  2014-07-25

7.  Examining Health Inequalities in Latvia: A Decade of Association between Socioeconomic Position and Perceived Health Status.

Authors:  Anželika Berķe-Berga; Pavitra Paul; Hannu Valtonen
Journal:  Biomed Res Int       Date:  2017-07-27       Impact factor: 3.411

8.  Neighborhood characteristics as determinants of healthcare utilization - a theoretical model.

Authors:  Sigrid M Mohnen; Sven Schneider; Mariël Droomers
Journal:  Health Econ Rev       Date:  2019-03-06

9.  Inequalities in perceived health in the Russian Federation, 1994-2012.

Authors:  Pavitra Paul; Hannu Valtonen
Journal:  BMC Public Health       Date:  2016-02-17       Impact factor: 3.295

10.  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
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