Patterns of Length of Stay after Admission in Geriatric Medicine: An Event History Approach

Patterns of Length of Stay after Admission in Geriatric Medicine: An Event History Approach
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老年医学入院后住院时间的模式:事件历史方法

DOI:
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发表时间:
1993
期刊:
影响因子:
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通讯作者:
P. Millard
P. Millard
中科院分区:
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文献类型:
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作者:
S. McClean;P. Millard

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以前的工作已经表明,两项混合指数分布可以很好地拟合老年内科患者的住院时间数据。一个关于病人进入科室的住院时间和他们随后的目的地的数据库,在16年期间被用来研究在入院病房直到死亡、出院或转移的住院时间的模式。将死亡/出院和转移作为混合分布的两个组成部分,对这些数据进行两项混合指数分布的拟合,以评估人口普查数据以前的这种分布的成功在多大程度上可以用我们目前的纵向数据和组成部分的选择来解释。然后将模型扩展到更复杂的混合指数分布和对数正态分布,这使我们能够更好地捕获分布的确切形状。
Previous work has indicated that a two-term mixed exponential distribution gives a good fit to data on lengths of stay of patients in departments of geriatric medicine. A database on the lengths of stay of patients entering a department, and their subsequent destinations, over a 16-year period, is used to examine the pattern of length of stay in ward of admission until death, discharge or transfer. The two-term mixed exponential distribution is fitted to these data using death/discharge and transfer as the two components of the mixture in order to assess to what extent the previous success of this distribution for census data may be explained by our current longitudinal data and choice of components. The model is then extended to the more sophisticated mixed exponential and log-normal distribution which better enables us to capture the exact shape of the distribution.