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A Model-Based Approach to the Analysis of Patterns of Length of Stay in Institutional Long-Term Care

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3 Author(s)
Haifeng Xie ; Health & Social Care Modeling Group, Univ. of Westminster, London ; Chaussalet, T.J. ; Millard, P.H.

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

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Information Technology in Biomedicine, IEEE Transactions on  (Volume:10 ,  Issue: 3 )