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自我护理技能的性能评估以预测出院后不良事件

The Performance Assessment of Self-Care Skills to Predict Adverse Events Post-Discharge.

作者信息

Grenier Ariane, Viscogliosi Chantal, Delli-Colli Nathalie, Mortenson William Ben, Macleod Heather, Lemieux-Courchesne Annie-Claude, Provencher Véronique

出版信息

Can J Occup Ther. 2022 Jun;89(2):190-200. doi: 10.1177/00084174221084459. Epub 2022 Mar 11.

DOI:10.1177/00084174221084459
PMID:35275507
Abstract

The Performance Assessment of Self-Care Skills (PASS) is a standardized assessment of the ability to perform daily activities. This preliminary exploratory study aimed to 1) explore the ability of four PASS tasks to predict adverse events (readmissions and injuries) in older adults following hospitalization; 2) compare PASS's predictive validity to that of a generic tool (SMAF) and OT clinical judgement. Twenty-two older patients were assessed in hospital at discharge and at home one week later. Adverse events were documented for six months post-discharge. Sensitivity and specificity analyses (ROC curves, Fisher's exact tests) were performed. Two PASS tasks (telephone, medication), the SMAF-Social and OT clinical judgement could identify individuals at risk of readmission (AUC > 0.7; p < 0.05). Using the PASS to assess more cognitively demanding tasks could be a promising way to predict adverse events after discharge, as a complement to clinical judgment.

摘要

自我护理技能绩效评估(PASS)是对日常活动执行能力的标准化评估。这项初步探索性研究旨在:1)探究四项PASS任务预测老年人住院后不良事件(再入院和受伤)的能力;2)将PASS的预测效度与通用工具(SMAF)和职业治疗临床判断的预测效度进行比较。22名老年患者在出院时和一周后在家中接受评估。出院后六个月记录不良事件。进行了敏感性和特异性分析(ROC曲线、Fisher精确检验)。两项PASS任务(打电话、用药)、SMAF-社会功能评估以及职业治疗临床判断能够识别有再入院风险的个体(曲线下面积>0.7;p<0.05)。作为临床判断的补充,使用PASS评估认知要求更高的任务可能是预测出院后不良事件的一种有前景的方法。

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