Formula for Predicting FIM Gain and Discharge FIM

Abstract

Objective: To predict FIM gain and discharge FIM score by multiplying the standard value by influence coefficients for age, cognitive function, and transfer interval. Methods: The subjects were 1,118 stroke patients admitted to a Kaifukuki rehabilitation ward of hospital A. The median value of motor FIM (mFIM) gain and discharge mFIM based on mFIM at the time of admission was used as the standard value. We then created a formula for predicting mFIM gain and discharge mFIM by multiplying the standard value by the influence coefficients for age, cognitive function, and transfer interval. Results:The correlation coefficient between the actual and predicted values was 0.681 in the prediction of mFIM gain and 0.874 in the prediction of discharge mFIM. The residual of the subtraction of the predicted value from the actual value was 1.4±12.5 (median value: 0) in the prediction of mFIM gain, and 1.3±12.6 (median value: 0) in the prediction of discharge mFIM. Conclusion:The correlation coefficient is comparable with those of reports that use multiple regression analysis. This new method clearly showed the relationship between factors and mFIM gain/discharge mFIM.