Using the Downton Index to Predict Those Prone to Falls in Stroke Rehabilitation

Author:

Nyberg Lars1,Gustafson Yngve1

Affiliation:

1. the Department of Geriatric Medicine, Umeå University (Sweden).

Abstract

Background and Purpose Falls are a major complication in inpatient stroke rehabilitation. An important issue in preventive strategies is the early identification of those at risk. This study aimed at assessing the fall-prediction accuracy of an easily administered fall risk index in stroke rehabilitation. Methods A consecutive series of 135 patients admitted to a geriatric stroke rehabilitation unit was studied. A score on the Downton fall risk index was obtained from the admission assessment data and used as a predictive indicator of the risk of falls. The patients' falls were prospectively recorded during their rehabilitation stay. The correlation between falls and the predicted risk was assessed by means of survival analysis and a multiple regression analysis, adjusting for the time of observation. Results The risk of falls as a function of the time observed was significantly greater among those predicted to be at high risk (index score ≥3) than among the others ( P =.009, log-rank test; odds ratio, 2.9). Furthermore, the number of falls during rehabilitation stay was moderately correlated ( R =.57) with the fall risk index sum when adjusted as for the time of observation. The sensitivity of the fall prediction as to outcome was 91%, whereas the specificity was limited to 27%. Conclusions A moderately high correlation was found between the predicted and the observed risk of falls in stroke rehabilitation when the Downton fall risk index was used. However, a low specificity rate limits the accuracy of the prediction.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialised Nursing,Cardiology and Cardiovascular Medicine,Clinical Neurology

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