A model-based approach to the analysis of patterns of length of stay in institutional long-term care

被引:22
|
作者
Xie, Haifeng [1 ]
Chaussalet, Thierry J. [1 ]
Millard, Peter H. [1 ]
机构
[1] Univ Westminster, HSCMG, Dept Informat Syst, Cavendish Sch Comp Sci, London W1W 6UW, England
关键词
covariate; length-of-stay analysis; long-term care; Markov model; survival analysis;
D O I
10.1109/TITB.2005.863820
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:512 / 518
页数:7
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