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功能独立性预测患者在住院康复后更有可能出院到社区。

Functional Independence predicts patients with stroke more likely to be discharged to the community after inpatient rehabilitation.

机构信息

Department of Physical Therapy Education, Elon University, Elon, NC, USA.

Physical Therapy Consultants, Fuquay-Varina, NC USA.

出版信息

Top Stroke Rehabil. 2023 May;30(4):393-401. doi: 10.1080/10749357.2022.2038834. Epub 2022 Feb 14.

DOI:10.1080/10749357.2022.2038834
PMID:35156558
Abstract

BACKGROUND

Functional domain predictors of discharge destination following inpatient rehabilitation for stroke have not been thoroughly identified.

OBJECTIVES

  1. Determine the relationships between intrinsic variables (demographic; comorbidities; functional independence at admission to and at discharge from an inpatient rehabilitation facility (IRF)) and discharge to home. 2) Determine cut scores for Functional Independence Measure® (FIM) subscales and domains that predict discharge to the community.

METHODS

This study was a secondary analysis of a large, multi-IRF dataset from the Uniform Data System for Medical Rehabilitation. Participants were adults with stroke who were discharged from an IRF in 2019 (n = 92,153).

RESULTS

Correlations with discharge to the community were strongest for discharge FIM scores (r = 0.330 to 0.580), followed by admission FIM scores (r = 0.245 to 0.411), which were stronger than the demographic and comorbidity variables (r = 0.005 to 0.110). Logistic regression analysis indicated 5 of 6 FIM domains (Social Cognition, Self-care, Sphincter, Transfer, and Locomotion) scored at admission and at discharge were predictive of discharge home. Receiver operating characteristic curve analyses determined the best cut point for each domain. For each FIM measure, the area under the curve was greater when the measure was obtained at discharge than it was at admission.

CONCLUSIONS

Clinicians may consider the cut points presented for each domain at admission and at discharge when setting goals or making recommendations for patients with stroke who aspire to a discharge from an IRF to a community setting.

摘要

背景

尚未充分确定住院康复治疗中风后出院去向的功能域预测因子。

目的

1)确定内在变量(人口统计学;合并症;住院康复机构(IRF)入院时和出院时的功能独立性)与出院回家之间的关系。2)确定功能独立性测量(FIM)量表和预测社区出院的功能域的截断分数。

方法

本研究是对来自统一医疗康复数据系统的大型多 IRF 数据集的二次分析。参与者为 2019 年从 IRF 出院的中风成年患者(n=92153)。

结果

与社区出院相关性最强的是出院 FIM 评分(r=0.330 至 0.580),其次是入院 FIM 评分(r=0.245 至 0.411),均强于人口统计学和合并症变量(r=0.005 至 0.110)。逻辑回归分析表明,6 个 FIM 域中的 5 个(社会认知、自我护理、括约肌、转移和运动)在入院时和出院时的评分均与出院回家相关。受试者工作特征曲线分析确定了每个域的最佳截断点。对于每个 FIM 测量,在出院时获得的测量值比入院时获得的测量值的曲线下面积更大。

结论

当为希望从 IRF 出院到社区环境的中风患者设定目标或提出建议时,临床医生可以考虑在入院和出院时为每个域呈现的截止点。

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