A tool for studying the effects of residents' attributes on patterns of length of stay in long-term care

Haifeng Xie, T. Chaussalet, P. Millard
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引用次数: 2

Abstract

Understanding the differential pattern of length of stay (LOS) in long-term care (LTC) due to residents' attributes has important practical implications in the management of long-term care. In this paper, we extend a previously developed modelling approach to incorporate residents' attributes. Two applications using data collected by a local authority in England are presented to demonstrate the potential use of this extension. In the study of possible difference in LOS pattern due to gender, our model provides quantitative support to the observations that mate residents admitted to NC take more time to settle down and have poorer short-term survival prospect than female residents.
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一个用于研究居民属性对长期护理停留时间模式影响的工具
了解住院病人在长期照护(LTC)中住院时间(LOS)的差异模式,对长期照护管理具有重要的现实意义。在本文中,我们扩展了先前开发的建模方法,以纳入居民的属性。两个应用程序使用收集的数据在英格兰的地方当局提出,以证明这种扩展的潜在用途。在对性别差异可能导致的LOS模式差异的研究中,我们的模型为入住NC的雄性居民比女性居民需要更多的时间来定居和短期生存前景更差的观察结果提供了定量支持。
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