Makoto Tokunaga, MD, PhD, Yoshitaka Mori, PT, Yoshitaka Ogata, PT, Yasunori Tanaka, PT,
Kouichi Uchino, OT, Yuki Maeda, OT, Machiko Kamiyoshi, OT
Jpn J Compr Rehabil Sci 7: 13-18, 2016
Objective: To clarify whether the accuracy of predicting
motor Functional Independence Measure (FIM) gain
in stroke patients can be improved by calculating
median values of motor FIM gain (median mFIM
gain) stratified by motor FIM score at hospital
admission, then inserting these standard gain values in
multiple regression analysis.
Methods: The subjects were 2,542 stroke patients
registered in the Japan Rehabilitation Database. Motor
FIM score at admission was stratified into 39 groups
at 2-point intervals and gmedian mFIM gainh was
calculated for each group. With motor FIM gain as the
objective variable, multiple regression analysis was
performed with and without median mFIM gain in
the explanatory variables. Then, correlations were
examined between measured values and predicted
values of motor FIM gain.
Results: Adding median mFIM gain to the explanatory
variables increased the correlation coefficient of
measured values and predicted values of motor FIM
gain from 0.507 to 0.638.
Conclusion: Adding median mFIM gain to the
explanatory variables can improve the accuracy of
multiple regression analyses to predict motor FIM
gain.
Key words: Functional Independence Measure, FIM gain, multiple regression analysis, explanatory variable, stroke