Formula for Predicting FIM Gain and Discharge FIM
Author:
Affiliation:
1. Department of Rehabilitation, Kumamoto Kinoh Hospital
Publisher
Kaifukuki Rehabilitation Ward Association
Link
https://www.jstage.jst.go.jp/article/jjcrs/6/0/6_6/_pdf
Reference21 articles.
1. 1. Data management service of the Uniform Data System for Medical Rehabilitation and the Center for Functional Assessment Research (1990) Guide for use of the uniform data set for medical rehabilitation. version 3.0, State University of New York at Buffalo, Buffalo.
2. 2. Jeong S, Inoue Y, Kondo K, Matsumoto D, Shiraishi N. Formula for predicting FIM for stroke patients at discharge from an acute ward or convalescent rehabilitation ward. Jpn J Compr Rehabil Sci 2014; 5: 19-25.
3. 3. Sonoda S, Saitoh E, Nagai S, Okuyama Y, Suzuki T, Suzuki M. Stroke outcome prediction using reciprocal number of initial activities of daily living status. J Stroke Cerebrovasc Diseas 2005; 14: 8-11.
4. 4. Liu M, Domen K, Chino N. Comorbidity measures for stroke outcome research. Arch Phys Med Rehabil 1997; 78: 166-72.
5. 5. Iwai N, Aoyagi Y. Discharge index and prediction for stroke patients in the post-acute stage. Jpn J Compr Rehabil Sci 2012; 3: 37-41.
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The stratification of motor FIM and cognitive FIM and the creation of four prediction formulas to enable higher prediction accuracy of multiple linear regression analysis with motor FIM gain as the objective variable―An analysis of the Japan Rehabilitation Database;Japanese Journal of Comprehensive Rehabilitation Science;2017
2. Predicting FIM gain in stroke patients by adding median FIM gain stratified by FIM score at hospital admission to the explanatory variables in multiple regression analysis—An analysis of the Japan Rehabilitation Database—;Japanese Journal of Comprehensive Rehabilitation Science;2016
3. Assessment of the effects of factors in stroke rehabilitation using eight multiple regression analyses—An analysis of the Japan Rehabilitation Database—;Japanese Journal of Comprehensive Rehabilitation Science;2015
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