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

Author

Xie, Haifeng ; Chaussalet, Thierry J. ; Millard, Peter H.

Author_Institution

Health & Social Care Modeling Group, Univ. of Westminster, London

Volume

10

Issue

3

fYear

2006

fDate

7/1/2006 12:00:00 AM

Firstpage

512

Lastpage

518

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

Keywords

Markov processes; geriatrics; medical computing; medical information systems; patient care; England; Markov model; administrative social care dataset; length-of-stay analysis; long-term care; nursing care; residential care; survival analysis; Computer science; Data mining; Delay; Finance; Hospitals; Information systems; Local government; Medical services; Pattern analysis; Senior citizens; Covariate; Markov model; length-of-stay analysis; long-term care; survival analysis;

fLanguage

English

Journal_Title

Information Technology in Biomedicine, IEEE Transactions on

Publisher

ieee

ISSN

1089-7771

Type

jour

DOI

10.1109/TITB.2005.863820

Filename

1650505