Discharge Destination from a Rehabilitation Unit After Acute Ischemic Stroke

Author:

Saab Amalie,Glass-Kaastra Shiona,Young Gordon Bryan

Abstract

ABSTRACT:Background: We reviewed numerous variables for ischemic stroke patients admitted to a rehabilitation unit to determine those that were statistically associated with discharge destination. Methods: A retrospective chart review of patients with ischemic stroke discharged from the rehabilitation unit between January 1, 2005 and December 31, 2015. Variables were examined for their association with discharge destination (home versus long-term care (LTC)). Univariable relationships with discharge destination were assessed, and a multivariable logistic regression model was built. Results: Univariate predictors of discharge to LTC: advanced age, decreasing admission and discharge functional independence measure (FIM) scores, increasing change in FIM score from admission to discharge, dependency, residence outside of home before the stroke, absence of a caregiver, urinary and bowel incontinence, low Berg balance score at admission and discharge, low Montreal Cognitive Assessment scores, smoking, chronic heart failure, and an inability to transfer. Multivariable logistic regression: five factors remained significant predictors with LTC disposition: advanced age, bowel incontinence, residence outside of the home prior to stroke, right hemisphere site of the stroke, and absence of a caregiver. Conclusions: Several easily measured variables were significantly associated with discharge to LTC versus home following stroke rehabilitation.

Publisher

Cambridge University Press (CUP)

Subject

Clinical Neurology,Neurology,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3