Xie, Haifeng and Chaussalet, Thierry J. and Millard, Peter H. (2006) A model-based approach to the analysis of patterns of length of stay in institutional long-term care. IEEE Transactions on Information Technology in Biomedicine, 10 (3). pp. 512-518. ISSN 1089-7771
Official URL: http://dx.doi.org/10.1109/TITB.2005.863820
Understanding the pattern of length of stay in institutional long-term care has important practical implications in the management of long-term care. Furthermore, residents' attributes are believed to have significant effects on these patterns. In this paper, we present a model-based approach to extract, from a routinely gathered administrative social care dataset, high-level length-of-stay patterns of residents in long-term care. This approach extends previous work by the authors to incorporate residents' features. Two applications using data provided by a local authority in England are presented to demonstrate the potential use of this approach.
|Uncontrolled Keywords:||Covariate,Markov model, length-of-stay analysis, long-term care, survival analysis|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||29 Sep 2006|
|Last Modified:||11 Aug 2010 15:31|
Repository Staff Only: item control page