Objective: To clarify the relationship between cognitive Functional Independence Measure (FIM) and motor FIM gain. Methods: We examined 1,137 patients with stroke in a Kaifukuki rehabilitation ward. Both motor and cognitive FIM scores at admission were divided into six separate groups (three groups per parameter), and we then compared these groups with motor FIM gain as the objective variable. We also performed a multiple regression analysis using motor FIM gain as the objective variable. Results: In the groups where motor FIM scores at admission were 13-38 points and 39-64 points, motor FIM gain was significantly higher in individuals that had high cognitive FIM scores at admission. In the multiple regression analysis, we found that motor FIM gain increased by 0.889 points when cognitive FIM scores at admission increased by 1 point in patients whose motor FIM score at admission was between 13 and 34 points and whose cognitive FIM score at admission was between 5 and 14 points.
Conclusion:This study clarified the relationship between cognitive FIM scores at admission and motor FIM gain in individuals with stroke.
The difference between measured Nichijo-seikatsu-kino-hyokahyo (NSKH) score and predicted NSKH score derived from ADL is related to FIM gain. Jpn J Compr Rehabil Sci 2013; 4: 61-66. Purpose: To determine if the difference between measured Nichijo-seikatsu-kino-hyokahyo score (NSKH) and predicted NSKH score (measured NSKH-predicted NSKH) derived from the Functional Independence Measure (FIM) score is related to FIM gain, and whether it increases the predictive accuracy of FIM gain. Methods: We studied 102 stroke patients in the Kaifukuki rehabilitation ward with FIM scores at admission between 18 and 58. We analyzed whether a correlation exists between "measured NSKHpredicted NSKH" and "FIM gain", and performed a multiple regression analysis to predict FIM gain. Results: A significant negative correlation (correlation constant −0.275, p<0.01) was detected between measured NSKH-predicted NSKH and FIM gain. The adjusted R-square value increased by 0.101 after incorporating measured NSKH-predicted NSKH into the predictive equation for FIM gain, which included age and FIM score at admission.
Conclusion:This study demonstrates that measured NSKH-predicted NSKH correlates with FIM gain, and that measured NSKH-predicted NSKH is an index that increases the predictive accuracy of FIM gain.
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.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.