Abstract
Tokunaga M, Katsura K, Tokisato K, Honda S, Nakanishi T, Takai S, Nakashima Y, Nojiri S, Watanabe S. Increasing the prediction accuracy of FIM gain by adding FIM improvement for one month from admission to the explanatory variables in multiple regression analyses. Jpn J Compr Rehabil Sci 2017; 8: 16-20.
Objective: The coefficient of determination in multiple linear regression analyses using the gain in Functional Independence Measure (FIM) as objective variables is low. We aimed to improve the prediction accuracy of FIM gain by adding FIM improvement for one month from admission to the explanatory variables.
Methods: A total of 547 stroke patients admitted to a Kaifukuki (convalescent stage) rehabilitation ward were included. In multiple regression analyses using motor FIM gain as the objective variable, we created a prediction formula using only data available at admission (model 1), and a prediction formula adding FIM improvement for one month from admission (model 2). The coefficient of determination adjusted for the degrees of freedom R*2 and the residuals obtained by subtracting the predicted value from the measured value of motor FIM gain were investigated.
Results: The R*2 of model 1 was 0.364 and that of model 2 was 0.711. The residual of model 1 was 0 ± 12.3 and that of model 2 was 0 ± 8.3. In model 2, the standard deviation of the residual was reduced.
Conclusion: Adding FIM improvement for one month to the explanatory variables increased the prediction accuracy of FIM gain.
