The influence of stroke type, gender, and age on FIM improvement
Author:
Affiliation:
1. Kumamoto Kinoh Hospita
2. Kumamoto Seamless Stroke Referral Associates for CVD Amelioration
Publisher
Kaifukuki Rehabilitation Ward Association
Link
https://www.jstage.jst.go.jp/article/jjcrs/5/0/5_136/_pdf
Reference17 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. Sonoda S, Nagai S, Saitoh E. A viewpoint and problem of the convalescent rehabilitation wards. Jpn J Rehabil Med 2005; 42: 614-7. Japanese.
3. 3. Tokunaga M, Nakanishi R, Watanabe S, Maeshiro I, Hyakudome A, Sakamoto K, et al. Corrected FIM effectiveness as an index independent of FIM score on admission. Jpn J Compr Rehabil Sci 2014; 5: 7-14.
4. 4. Koh GCH, Chen CH, Petrellia R, Thind A. Rehabilitation impact indices and their independent predictors; a systematic review. BMJ Open. 2013 Sep 24; 3 (9): e003483.
5. 5. Tokunaga M, Nakanishi R, Eguchi G, Kihara K, Tokisato K, Katsura K, et al. The influence of age on corrected motor FIM effectiveness. Jpn J Compr Rehabil Sci 2014; 5: 56-60.
Cited by 2 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. 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
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