How Predictive is the FIM at Discharge from Convalescent Rehabilitation Ward by the FIM at Admission?：A Study Using Multiple Regression Analysis and Cross-validation
- VernacularTitle:回復期リハビリテーション病棟の退院時FIMは入院時FIMでどの程度予測可能か? ―重回帰分析と交差妥当性による検討―
- Author:
Masafumi ARAO
1
;
Hiroshi KANAMORI
1
;
Toshiaki ONITSUKA
1
;
Tatsuya NOMOTO
1
;
Yasuhide IMAMURA
2
;
Taizo SHIOMI
3
Author Information
- Keywords: convalescent rehabilitation ward; prognosis prediction; Functional Independence Measure
- From:The Japanese Journal of Rehabilitation Medicine 2024;():24011-
- CountryJapan
- Language:Japanese
- Abstract: Purpose：We aimed to build a predictive model for ADL, applicable to all patients admitted to a convalescent rehabilitation ward, that uses a simple index as explanatory variables, which is accessible early during hospitalization.Methods：We included 1153 patients admitted to our convalescent rehabilitation ward. Stepwise multiple regression analysis was conducted using 18 Functional Independence Measure (FIM) sub-items at admission, with sex, age, and time since onset as explanatory variables. The total FIM motor score was calculated by summing 13 motor sub-items at discharge. Cross-validation was performed on 85 participants, independent of the analysis group, to confirm the model's clinical applicability.Results：The multiple regression analysis results for the analysis group showed a significant equation with an R2 of 0.712. In the validation group with 85 patients, difference between the predicted and actual FIM scores at discharge was compared between the two groups, and a strong correlation of r=0.888 (p＜0.019 was observed, without any significant difference between the groups.Conclusion：This model is less labor intensive when constructing a prediction equation because the objective variable is easily obtained. Our findings indicate that other convalescent rehabilitation wards can develop prognostic models using their data and implement them clinically.
