Makoto Tokunaga, MD, PhD, Mayu Taniguchi, OTR, Keiichi Nakakado, PTR,
Taiki Mihono, OTR, Asami Okido, RPT, Takeshi Ushijima, RPT,
Gihachiro Eguchi, MD, Susumu Watanabe, MD, PhD, Ryoji Nakanishi, MD, PhD,
Hiroaki Yamanaga, MD, PhD
Jpn J Compr Rehabil Sci 6: 78-85, 2015
Objective: The objective of the present study was to
determine via multiple regression analysis what types
of patient groups demonstrate large effects for factors
in stroke rehabilitation.
Methods: The subjects were 1,465 stroke patients in
Kaifukuki rehabilitation wards who were registered
in the 2014 Japan Rehabilitation Database. The
subjects were stratified into eight groups based on
age, motor functional independence measure (FIM)
score at hospital admission, and cognitive FIM score
at admission; multiple regression analysis was then
performed with motor FIM score at discharge as the
dependent variable.
Results: Among the eight groups, the following
independent variables were significant: motor FIM
score at admission in seven groups, Nichijo-seikatsukino-
hyokahyo at admission in five groups, age and
post-onset duration of hospitalization in four groups,
cognitive FIM score at admission in three groups, and
pre-onset modified Rankin Scale in one group.
Conclusion: The creation of multiple predictive
formulas in multiple regression analysis enables
identification of the types of patient groups which
demonstrate large effects for factors in stroke
rehabilitation.
Key words: multiple regression analysis, stroke, stratification, factors, Functional Independence Measure