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 ratioh by dividing the
gmeasured value for motor FIM at dischargeh by the
gpredicted value for motor FIM at discharge obtained by
multiple regression analysish, 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