Original Article

The relationship between measured values and values predicted using multiple regression analysis for mean motor FIM at discharge \ A study at 13 Kaifukuki rehabilitation hospitals for stroke patients in the Japan Rehabilitation Database

Makoto Tokunaga, MD, PhD, Miho Nishikawa, RPT, Ayu Matsumoto, RPT, Shunpei Nanbu, RPT, Azusa Nakagawa, OTR, Yuki Maeda, OTR, Machiko Kamiyoshi, OTR
Jpn J Compr Rehabil Sci 6: 86-90, 2015

Objective: The purpose of this study was to predict mean Functional Independence Measure (FIM) at discharge in patients with stroke from Kaifukuki rehabilitation wards using multiple regression analysis, and to clarify the measured values and predicted values at each hospital.
Methods: The subjects were 2,320 stroke patients of 13 Kaifukuki rehabilitation wards registered in the 2014 Japan Rehabilitation Database. For each patient, we found a gmeasurement/prediction ratioh by dividing the gmeasured value for motor FIM at dischargeh by the gpredicted value for motor FIM at discharge obtained by multiple regression analysish, and compared the mean values among hospitals.
Results: The 13 hospitals had significant differences in the measurement/prediction ratio for the motor FIM at discharge, ranging from 0.91 to 1.09.
Conclusion: The technique of using multiple regression analysis to predict FIM at discharge and comparing the measurement/prediction ratio between hospitals is advantageous in that it can correct the effects of various factors and enables statistical comparisons.

Key words: Functional Independence Measure, multiple regression analysis, inter-hospital comparison

Contents (volume 6)