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Mixture distribution analysis of length of hospital stay for efficient funding

Xiao, Jianguo, Lee, Andy H. and Vemuri, Siva Ram (1999). Mixture distribution analysis of length of hospital stay for efficient funding. Socio-Economic Planning Sciences,33(1):39-59.

Document type: Journal Article
Citation counts: Scopus Citation Count Cited 19 times in Scopus Article | Citations

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Title Mixture distribution analysis of length of hospital stay for efficient funding
Author Xiao, Jianguo
Lee, Andy H.
Vemuri, Siva Ram
Journal Name Socio-Economic Planning Sciences
Publication Date 1999
Volume Number 33
Issue Number 1
ISSN 0038-0121   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-0344958758
Start Page 39
End Page 59
Total Pages 21
Place of Publication United Kingdom
Publisher Pergamon Press
Field of Research ECONOMICS
Abstract This paper aims to demonstrate the importance of mixture distribution modelling in analysing the characteristics of inpatient length of stay (LOS), which has direct implications on health planning and formation of payment policy. It is found that mixture distribution analysis can confirm the homogeneity of certain Diagnosis Related Groups (DRGs). It can also reveal the heterogeneous patterns of other DRGs. For those DRGs exhibiting heterogeneity in LOS, related socio-economic factors influencing LOS are compared and contrasted between components by Poisson mixture regressions. Such an analysis provides an integrated framework to link funding with relevant influencing factors of LOS. A Poisson mixture regression model can give useful insights for state health institutions to initiate efficient casemix payments. It also benefits hospital managers and clinicians to manage LOS more effectively.
DOI http://dx.doi.org/10.1016/S0038-0121(98)00006-8   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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Created: Fri, 29 Aug 2014, 19:58:20 CST by Anthony Hornby