Inpatient length of stay: a finite mixture modeling analysis.

Authors :: Singh CH
Ladusingh L
Source :: The European journal of health economics : HEPAC : health economics in prevention and care [Eur J Health Econ] 2010 Apr; Vol. 11 (2), pp. 119-26. Date of Electronic Publication: 2009 May 12.
Publication Year :: 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.

Subjects :: Female
Humans
India
Male
Models, Statistical
Regression Analysis
Risk Factors
Rural Population
Socioeconomic Factors
Urban Population
Length of Stay economics
Length of Stay statistics & numerical data

Language :: English
ISSN :: 1618-7601
Volume :: 11
Issue :: 2
Database :: MEDLINE
Journal :: The European journal of health economics : HEPAC : health economics in prevention and care
Publication Type :: Academic Journal
Accession number :: 19430985
Full Text :: https://doi.org/10.1007/s10198-009-0153-6