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Modelling nationwide hospital length of stay: opening the black box

Vasilakis, Christos and Marshall, Adele H. (2005) Modelling nationwide hospital length of stay: opening the black box. Journal of the Operational Research Society, 56 (7). pp. 862-869. ISSN 0160-5682

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Official URL: http://www.palgrave-journals.com/jors/journal/v56/...

Abstract

Hospital length of stay is considered to be a reliable and valid proxy for measuring the consumption of hospital resources. Average length of stay, however, albeit easy to quantify and calculate, does not suitably reflect the nature of such underlying distributions and may therefore mask the effects that the different streams of patients have on the system. This paper uses routinely collected and readily available nationwide data on stroke-related patients, aged 65 years and over, who were discharged from English hospitals over a 1-year period. This will be the basis for a running example illustrating the alternative methods of analysis and models of patients' length of stay. The methods include statistical methods: survival analysis, mixed exponential and phase-type distributions; and decision modelling techniques: compartmental and simulation models. The paper concludes by summarizing these various modelling techniques and by highlighting the similarity of the estimated parameters of patient flow as calculated by the phase-type distribution and compartmental modelling techniques.

Item Type:Article
Additional Information:Online ISSN 1476-9360
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:2232
Deposited On:29 Jun 2006
Last Modified:20 Oct 2009 14:31

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