Inpatient length of stay: a finite mixture modeling analysis.
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.
Department of Statistics, North-Eastern Hill University, Umshing, Mawkynroh, Shillong, 793022, Meghalaya, India. holendrosingh@gmail.com
Chungkham Holendro
CH
Singh
Laishram
L
Ladusingh
D005260:Female; D006801:Humans; D007194:India; D007902:Length of Stay / Q000191:economics* / Q000706:statistics & numerical data*; D008297:Male; D015233:Models, Statistical; D012044:Regression Analysis; D012307:Risk Factors; D012424:Rural Population; D012959:Socioeconomic Factors; D014505:Urban Population