Inpatient length of stay: a finite mixture modeling analysis

Eur J Health Econ. 2010 Apr;11(2):119-26. doi: 10.1007/s10198-009-0153-6. Epub 2009 May 12.


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.

MeSH terms

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