Xie, Haifeng and Chaussalet, Thierry J. and Millard, Peter H. (2005) A tool for studying the effects of residents' attributes on patterns of length of stay in long-term care. In: Tsymbal, Alexey and Cunningham, Padraig, (eds.) Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems: 23-25 June 2005, Dublin, Ireland. IEEE Computer Society, USA, pp. 473-478. ISBN 0769523552
Official URL: http://dx.doi.org/10.1109/CBMS.2005.20
Understanding the differential pattern of length of stay (LOS) in long-term care (LTC) due to residents' attributes has important practical implications in the management of long-term care. In this paper, we extend a previously developed modelling approach to incorporate residents' attributes. Two applications using data collected by a local authority in England are presented to demonstrate the potential use of this extension. In the study of possible difference in LOS pattern due to gender, our model provides quantitative support to the observations that male residents admitted to NC take more time to settle down and have poorer short-term survival prospect than female residents.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||01 Dec 2005|
|Last Modified:||11 Aug 2010 15:29|
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