Evaluation of an ambulatory geriatric rehabilitation program - results of a matched cohort study based on claims data

对一项门诊老年康复计划的评估——基于理赔数据的匹配队列研究结果

阅读:1

Abstract

BACKGROUND: Ambulatory geriatric rehabilitation (AGR) is a multidisciplinary outpatient prevention program designed to decrease hospitalisation and dependence on nursing care in multimorbid patients ≥70 years of age. We evaluated the effectiveness of AGR compared to usual care on progression of nursing care levels, nursing home admissions, hospital admissions, incident fractures, mortality rate and total cost of care during a one-year follow-up period. METHODS: Analyses were based on claims data from the health insurance company AOK Nordost. Propensity Score matching was used to match 4 controls to each person receiving the AGR intervention. RESULTS: A total of 632 AGR participants and 2528 matched controls were included. The standardized mean difference of matching variables between cases and controls was small (mean: + 1.4%; range: - 4.4/3.9%). In AGR patients, the progression of nursing care levels (+ 2.2%, 95%CI: - 0.9 /5.3), nursing home admissions (+ 1.7%, 95%CI: - 0.1/3.5), hospital admissions (+ 1.1%, 95%CI: - 3.2/5.4), incident fractures (+ 11.1%, 95%CI: 7.3/15) and mortality rate (+ 1.2%, p = 0.20) showed a less favourable course compared to controls. The average total cost per AGR participant was lower than in the control group (- 353€, 95%CI: - 989€/282€), not including costs for AGR. CONCLUSIONS: Analysis based on claims data showed no clinical benefit from AGR intervention regarding the investigated outcomes. The slightly worse outcomes may reflect limitations in matching based on claims data, which may have insufficiently reflected morbidity and psychosocial factors. It is possible that the intervention group had poorer health status at baseline compared to the control group. TRIAL REGISTRATION: German Clinical Trials Register DRKS00008926, registered 29.07.2015.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。