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实现基于社区的目标与参与澳大利亚过渡护理计划的老年澳大利亚人再次住院风险较低相关。

Attainment of Community-Based Goals Is Associated with Lower Risk of Hospital Readmission for Older Australians Accessing the Australian Transition Care Program.

作者信息

Salih Salih A, Koo Andrew, Boland Niamh, Reid Natasha

机构信息

Centre for Health Services Research, The University of Queensland, Woolloongabba, Brisbane, QLD 4102, Australia.

Redland Hospital, Queensland Health, Cleveland, QLD 4163, Australia.

出版信息

Int J Environ Res Public Health. 2025 Jul 22;22(8):1162. doi: 10.3390/ijerph22081162.

Abstract

This study aimed to examine the 6-month hospital readmission rate for Transition Care Program (TCP) clients and its association with community goal attainment. This was a single-site retrospective cohort study of TCP clients admitted from 2014 to 2019. Goals were set at TCP entry and coded as goals 'within the home' or 'in the community'. Hospital readmissions were tracked using electronic health records. Logistic regression, area under the curve, and number needed to treat were the primary analyses performed. Of 747 (66.8% female and 33.2% male) client episodes, 164 (22%) resulted in a hospital readmission. Clients who were not readmitted to hospital set and achieved a higher number of community-based goals (1.08 vs. 0.8, = 0.01 and 0.8 vs. 0.6, = 0.001). Utilising a logistic regression model, each additional community goal achieved was associated with a 30% reduction in risk of readmission to the hospital (OR: 0.69, 95%CI: 0.5-0.8; = 0.002), adjusted for age, sex, MBI change, number of home goals achieved, hospital length of stay and number of comorbidities. Achieving community-based goals can reduce the risk of hospital readmission by 30% after adjusting for demographic and clinical variables.

摘要

本研究旨在调查过渡护理计划(TCP)客户的6个月医院再入院率及其与社区目标达成情况的关联。这是一项对2014年至2019年收治的TCP客户进行的单中心回顾性队列研究。在TCP入院时设定目标,并编码为“在家中”或“在社区”目标。使用电子健康记录跟踪医院再入院情况。主要进行的分析包括逻辑回归、曲线下面积和需治疗人数。在747例客户事件中(女性占66.8%,男性占33.2%),164例(22%)导致医院再入院。未再次入院的客户设定并实现了更多基于社区的目标(1.08对0.8,P = 0.01;0.8对0.6,P = 0.001)。利用逻辑回归模型,在对年龄、性别、改良巴氏指数变化、实现的家庭目标数量、住院时间和合并症数量进行调整后,每多实现一个社区目标,再次入院风险降低30%(比值比:0.69,95%置信区间:0.5 - 0.8;P = 0.002)。在对人口统计学和临床变量进行调整后,实现基于社区的目标可将医院再入院风险降低30%。

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