Literature DB >> 23910732

Diagnoses-based cost groups in the Dutch risk-equalization model: the effects of including outpatient diagnoses.

R C van Kleef1, R C J A van Vliet2, E M van Rooijen2.   

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.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Claims data; Health insurance; Hospital diagnoses; Risk equalization; Survey data

Mesh:

Year:  2013        PMID: 23910732     DOI: 10.1016/j.healthpol.2013.07.005

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  4 in total

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Journal:  Eur J Health Econ       Date:  2015-09-29

2.  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

3.  Comparing risk adjustment estimation methods under data availability constraints.

Authors:  Marica Iommi; Savannah Bergquist; Gianluca Fiorentini; Francesco Paolucci
Journal:  Health Econ       Date:  2022-04-05       Impact factor: 2.395

4.  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
  4 in total

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