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

Détails

ID Serval
serval:BIB_BEB82176E0D8
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Estimating Health Cost Repartition Among Diseases in the Presence of Multimorbidity.
Périodique
Health services research and managerial epidemiology
Auteur(s)
Rousson V., Rossel J.B., Eggli Y.
ISSN
2333-3928 (Electronic)
ISSN-L
2333-3928
Statut éditorial
Publié
Date de publication
12/2019
Peer-reviewed
Oui
Volume
6
Langue
anglais
Notes
Article number : UNSP 2333392819891005
Résumé
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.
Mots-clé
general linear models, health costs, interactions, iterative proportional repartition, linear regression, multimorbidity
Pubmed
Web of science
Open Access
Oui
Création de la notice
07/01/2020 17:04
Dernière modification de la notice
05/08/2020 5:26
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