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- W2121206652 abstract "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" @default.
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- W2121206652 date "2006-07-01" @default.
- W2121206652 modified "2023-10-18" @default.
- W2121206652 title "A Model-Based Approach to the Analysis of Patterns of Length of Stay in Institutional Long-Term Care" @default.
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- W2121206652 doi "https://doi.org/10.1109/titb.2005.863820" @default.
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