Predicting Discharge to Institutional Long-Term Care After Stroke: A Systematic Review and Metaanalysis

作者: Jennifer K. Burton , Eilidh E. C. Ferguson , Amanda J. Barugh , Katherine E. Walesby , Alasdair M. J. MacLullich

DOI: 10.1111/JGS.15101

关键词:

摘要: Background/Objectives: Stroke is a leading cause of disability worldwide, and significant proportion stroke survivors require long-term institutional care. Understanding who cannot be discharged home important for health social care planning. Our aim was to establish predictive factors discharge after hospitalization stroke. Design: We registered conducted systematic review meta-analysis (PROSPERO: CRD42015023497) observational studies. We searched MEDLINE, EMBASE, CINAHL Plus February 2017. Quantitative synthesis performed where data allowed. Setting: Acute rehabilitation hospitals. Participants: Adults hospitalized were newly admitted directly at the time hospital discharge. Measurements: Factors associated with new institutionalization. Results: From 10,420 records, we included 18 studies (n = 32,139 participants). The heterogeneous in Europe, North America, East Asia. Eight high risk selection bias. those surviving varied from 7% 39% (median 17%, interquartile range 12%), model received setting not defined. Older age greater severity had consistently positive association need admission. Individuals severe 26 times as likely than minor stroke. aged 65 older that three great younger individuals. Potentially modifiable rarely examined. Conclusion: Age are predictors admission an acute should target future research. Stroke outcome report destination, defining provided setting.

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