{"title":"Length of stay in residential aged care: Patterns and determinants from a population-based cohort study","authors":"Mengyi Xu , Gaoyun Yan","doi":"10.1016/j.insmatheco.2025.03.006","DOIUrl":null,"url":null,"abstract":"<div><div>The length of stay in permanent residential care is a crucial metric for evaluating the utilization of institutional care and informing sustainable aged care policies. Understanding this metric is especially relevant in Australia, where the decision on how to pay the substantial nursing home accommodation costs must be made shortly after admission and is heavily influenced by the expected duration of stay. We investigate the length of stay in long-term institutional care by analyzing a cohort of older Australians first admitted to permanent residential care in 2008. By employing survival analysis that captures time-varying covariates, we find that, in addition to demographic factors like age and gender, the organization type of nursing homes and their service size significantly influence the length of stay. Failing to account for potential changes due to transfers between nursing homes can lead to a significant underestimation of the impact of organization type and service size.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"122 ","pages":"Pages 214-229"},"PeriodicalIF":1.9000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Insurance Mathematics & Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167668725000435","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
The length of stay in permanent residential care is a crucial metric for evaluating the utilization of institutional care and informing sustainable aged care policies. Understanding this metric is especially relevant in Australia, where the decision on how to pay the substantial nursing home accommodation costs must be made shortly after admission and is heavily influenced by the expected duration of stay. We investigate the length of stay in long-term institutional care by analyzing a cohort of older Australians first admitted to permanent residential care in 2008. By employing survival analysis that captures time-varying covariates, we find that, in addition to demographic factors like age and gender, the organization type of nursing homes and their service size significantly influence the length of stay. Failing to account for potential changes due to transfers between nursing homes can lead to a significant underestimation of the impact of organization type and service size.
期刊介绍:
Insurance: Mathematics and Economics publishes leading research spanning all fields of actuarial science research. It appears six times per year and is the largest journal in actuarial science research around the world.
Insurance: Mathematics and Economics is an international academic journal that aims to strengthen the communication between individuals and groups who develop and apply research results in actuarial science. The journal feels a particular obligation to facilitate closer cooperation between those who conduct research in insurance mathematics and quantitative insurance economics, and practicing actuaries who are interested in the implementation of the results. To this purpose, Insurance: Mathematics and Economics publishes high-quality articles of broad international interest, concerned with either the theory of insurance mathematics and quantitative insurance economics or the inventive application of it, including empirical or experimental results. Articles that combine several of these aspects are particularly considered.