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Published in: Population Health Metrics 1/2006

Open Access 01-12-2006 | Research

Disability weights for comorbidity and their influence on Health-adjusted Life Expectancy

Authors: Pieter HM van Baal, Nancy Hoeymans, Rudolf T Hoogenveen, Ardine G de Wit, Gert P Westert

Published in: Population Health Metrics | Issue 1/2006

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Abstract

Background

Comorbidity complicates estimations of health-adjusted life expectancy (HALE) using disease prevalences and disability weights from Burden of Disease studies. Usually, the exact amount of comorbidity is unknown and no disability weights are defined for comorbidity.

Methods

Using data of the Dutch national burden of disease study, the effects of different methods to adjust for comorbidity on HALE calculations are estimated. The default multiplicative adjustment method to define disability weights for comorbidity is compared to HALE estimates without adjustment for comorbidity and to HALE estimates in which the amount of disability in patients with multiple diseases is solely determined by the disease that leads to most disability (the maximum adjustment method). To estimate the amount of comorbidity, independence between diseases is assumed.

Results

Compared to the multiplicative adjustment method, the maximum adjustment method lowers HALE estimates by 1.2 years for males and 1.9 years for females. Compared to no adjustment, a multiplicative adjustment lowers HALE estimates by 1.0 years for males and 1.4 years for females.

Conclusion

The differences in HALE caused by the different adjustment methods demonstrate that adjusting for comorbidity in HALE calculations is an important topic that needs more attention. More empirical research is needed to develop a more general theory as to how comorbidity influences disability.
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Metadata
Title
Disability weights for comorbidity and their influence on Health-adjusted Life Expectancy
Authors
Pieter HM van Baal
Nancy Hoeymans
Rudolf T Hoogenveen
Ardine G de Wit
Gert P Westert
Publication date
01-12-2006
Publisher
BioMed Central
Published in
Population Health Metrics / Issue 1/2006
Electronic ISSN: 1478-7954
DOI
https://doi.org/10.1186/1478-7954-4-1

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