Estimating Health Cost Repartition Among Diseases in the Presence of Multimorbidity.

Details

Serval ID
serval:BIB_BEB82176E0D8
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Estimating Health Cost Repartition Among Diseases in the Presence of Multimorbidity.
Journal
Health services research and managerial epidemiology
Author(s)
Rousson V., Rossel J.B., Eggli Y.
ISSN
2333-3928 (Electronic)
ISSN-L
2333-3928
Publication state
Published
Issued date
12/2019
Peer-reviewed
Oui
Volume
6
Language
english
Notes
Article number : UNSP 2333392819891005
Abstract
We consider the nontrivial problem of estimating the health cost repartition among different diseases in the common case where the patients may have multiple diseases. To tackle this problem, we propose to use an iterative proportional repartition (IPR) algorithm, a nonparametric method which is simple to understand and to implement, allowing (among other) to avoid negative cost estimates and to retrieve the total health cost by summing up the estimated costs of the different diseases. This method is illustrated with health costs data from Switzerland and is compared in a simulation study with other methods such as linear regression and general linear models. In the case of an additive model without interactions between disease costs, a situation where the truth is clearly defined such that the methods can be compared on an objective basis, the IPR algorithm clearly outperformed the other methods with respect to efficiency of estimation in all the settings considered. In the presence of interactions, the situation is more complex and will deserve further investigation.
Keywords
general linear models, health costs, interactions, iterative proportional repartition, linear regression, multimorbidity
Pubmed
Web of science
Open Access
Yes
Create date
07/01/2020 18:04
Last modification date
05/08/2020 6:26
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