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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The authors would like to thank anonymous referees for their helpful comments, which have led to considerable improvements over the initial version.
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Singh, C.H., Ladusingh, L. Inpatient length of stay: a finite mixture modeling analysis. Eur J Health Econ 11, 119–126 (2010). https://doi.org/10.1007/s10198-009-0153-6
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DOI: https://doi.org/10.1007/s10198-009-0153-6