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The European Journal of Health Economics

01-04-2010 | Original Paper

Inpatient length of stay: a finite mixture modeling analysis

Authors: Chungkham Holendro Singh, Laishram Ladusingh

Published in: The European Journal of Health Economics | Issue 2/2010

Abstract

Length of stay (LOS) in hospital for inpatient treatment is a measure of crucial recovery time. Using nationwide data on inpatient healthcare in India, a three-component finite mixture negative binomial model was found to provide a reasonable fit to the heterogeneous LOS distribution. Associated risk factors for short-stay, medium-stay and long-stay subgroups were identified from the respective negative binomial components. In addition, significant heterogeneities within each group were also found.

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Title: Inpatient length of stay: a finite mixture modeling analysis
Authors: Chungkham Holendro Singh
Laishram Ladusingh
Publication date: 01-04-2010
Publisher: Springer-Verlag
Published in: The European Journal of Health Economics / Issue 2/2010
Print ISSN: 1618-7598
Electronic ISSN: 1618-7601
DOI: https://doi.org/10.1007/s10198-009-0153-6

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Inpatient length of stay: a finite mixture modeling analysis

Abstract

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Abstract

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