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

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—

Published:2016 Issue:0 Volume:7 Page:13-18
ISSN:2185-5323
Container-title:Japanese Journal of Comprehensive Rehabilitation Science
language:en
Short-container-title:Jpn J Compr Rehabil Sci

Author:

Tokunaga Makoto¹,Mori Yoshitaka²,Ogata Yoshitaka²,Tanaka Yasunori²,Uchino Kouichi³,Maeda Yuki³,Kamiyoshi Machiko³

Affiliation:

1. Department of Rehabilitation, Kumamoto Kinoh Hospital

2. Department of Physical Therapy, Kumamoto Kinoh Hospital

3. Department of Occupational Therapy, Kumamoto Kinoh Hospital

Publisher

Kaifukuki Rehabilitation Ward Association

Link

https://www.jstage.jst.go.jp/article/jjcrs/7/0/7_13/_pdf

Reference13 articles.

1. 1. Meyer MJ, Pereira S, McClure A, Teasell R, Thind A, Koval J, et al. A systematic review of studies reporting multivariable models to predict functional outcomes after post-stroke inpatient rehabilitation. Disabil Rehabil 2015; 37: 1316-23.

2. 2. Kondo K. Secondary analysis of the rehabilitation patient database. Jpn J Rehabil Med 2012; 49: 142-8. Japanese.

3. 3. Japan Association of Rehabilitation Database. http://square.umin.ac.jp/JARD/

4. 4. Yanai H. Practical multivariate analysis greate utilities on Excel. Saitama, OMS Publishing Inc; 2005. p. 1-174. Japanese.

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.

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1. A Scoping Review of Prognosis Prediction Studies Focusing on Activity and Participation Among Patients with Stroke in Japan;Asian Journal of Occupational Therapy;2024

2. 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&horbar;An analysis of the Japan Rehabilitation Database;Japanese Journal of Comprehensive Rehabilitation Science;2017

3. Increasing the prediction accuracy of FIM gain by adding FIM improvement for one month from admission to the explanatory variables in multiple regression analyses;Japanese Journal of Comprehensive Rehabilitation Science;2017