Literature DB >> 19430985

Inpatient length of stay: a finite mixture modeling analysis.

Chungkham Holendro Singh1, Laishram Ladusingh.   

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.

Mesh：

Year:  2009        PMID： 19430985     DOI： 10.1007/s10198-009-0153-6

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN： 1618-7598


  8 in total

1.  The influence of social deprivation on length of hospitalisation.

Authors:  Engin Yilmaz; Denis Raynaud
Journal:  Eur J Health Econ       Date:  2011-11-18

2.  Analysis of HIV/AIDS DRG in Portugal: a hierarchical finite mixture model.

Authors:  Sara Simões Dias; Valeska Andreozzi; Rosário O Martins
Journal:  Eur J Health Econ       Date:  2012-08-05

3.  Patients' length of stay in women hospital and its associated clinical and non-clinical factors, tehran, iran.

Authors:  R Ravangard; M Arab; H Zeraati; A Rashidian; A Akbarisari; F Mostaan
Journal:  Iran Red Crescent Med J       Date:  2011-05-01       Impact factor: 0.611

4.  A review of statistical estimators for risk-adjusted length of stay: analysis of the Australian and new Zealand Intensive Care Adult Patient Data-Base, 2008-2009.

Authors:  John L Moran; Patricia J Solomon
Journal:  BMC Med Res Methodol       Date:  2012-05-16       Impact factor: 4.615

5.  Asthma length of stay in hospitals in London 2001-2006: demographic, diagnostic and temporal factors.

Authors:  Ireneous N Soyiri; Daniel D Reidpath; Christophe Sarran
Journal:  PLoS One       Date:  2011-11-02       Impact factor: 3.240

6.  HIV/AIDS length of stay in Portugal under financial constraints: a longitudinal study for public hospitals, 2009-2014.

Authors:  Gonçalo F Augusto; Sara S Dias; Alexandre V Abrantes; Maria R O Martins
Journal:  BMC Health Serv Res       Date:  2019-05-10       Impact factor: 2.655

7.  Dealing with highly skewed hospital length of stay distributions: The use of Gamma mixture models to study delivery hospitalizations.

Authors:  Eva Williford; Valerie Haley; Louise-Anne McNutt; Victoria Lazariu
Journal:  PLoS One       Date:  2020-04-20       Impact factor: 3.240

8.  Factors affecting length of stay in teaching hospitals of a middle-income country.

Authors:  Omid Khosravizadeh; Soudabeh Vatankhah; Peivand Bastani; Rohollah Kalhor; Samira Alirezaei; Farzane Doosty
Journal:  Electron Physician       Date:  2016-10-25
  8 in total

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