Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
Department of Geriatrics, Lille Catholic Hospitals, 59000, Lille, France.
Aging Clin Exp Res. 2023 Oct;35(10):2267-2270. doi: 10.1007/s40520-023-02514-8. Epub 2023 Jul 29.
This short communication highlights analytical methods that can be usefully applied to the problem of hospital readmissions of older adults. The limitations of the models currently used in studies of hospital readmissions are described. In summary, analyses of hospital readmissions face two important methodological and statistical problems not accounted for by these currently used statistical models: the potential recurrence of readmissions, and death, a terminal event which absorbs the readmission process. Not addressing the issue raised by recurrent events and terminal event generates biased estimates. We discuss an approach for the analysis of hospital readmission risk and death in the same framework. Understanding the features of this kind of approaches is essential at a time when high-quality data on hospital readmission in older patients are becoming available to a large number of researchers. Models adapted for the analysis of recurrent and terminal events are presented, and their application to studies of hospital readmission are explained, with reference to two cohorts of several thousand older individuals.
本简讯重点介绍了可有效应用于老年患者住院再入院问题的分析方法。描述了目前用于研究住院再入院问题的模型所存在的局限性。总之,对住院再入院的分析面临着两个重要的方法学和统计学问题,而这些问题目前使用的统计模型并未考虑到:再入院的潜在复发和死亡,这是一个吸收再入院过程的终末事件。如果不解决由复发性事件和终末事件引起的问题,就会产生有偏差的估计。我们讨论了一种在同一框架内分析住院再入院风险和死亡的方法。当大量研究人员能够获得大量关于老年患者住院再入院的高质量数据时,了解这种方法的特点至关重要。介绍了适用于分析复发性和终末事件的模型,并结合两个包含数千名老年人的队列解释了其在住院再入院研究中的应用。