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Research Objectives: To determine the best combination of therapy treatment units to predict discharge FIM scores (overall, and motor and cognition subscale) while controlling for age and respective admission FIM score. Design: Cross-sectional electronic medical chart review. Setting: Inpatient rehabilitation hospital. Participants: Convenience sample adults with of stroke (NZ350; ages 18 to 92; 183 males and 167 females). Interventions: Not applicable. Main Outcome Measure(s): Functional Independence Measure (FIM). Results: Three hierarchical regression analyses. Step 1, age and respective admission FIM scores. Step 2, stepwise regression of therapy treatment units (occupational therapy, physical therapy, psychology, recreational therapy, and speech language pathology). Regression analysis 1-Model 1 indicated age and admission overall FIM scores predict 62.5% of the variance to discharge FIM score. Model 2, recreational therapy treatment units added 1.8% to the variance of discharge FIM scores; all significant to the model. Regression analysis 2-Model 1 indicated age and admission motor subscale FIM scores predict 57.3% of the variance on discharge motor FIM scores. Model 2, recreational therapy added 1.5% to the variance of discharge motor FIM scores; all were significant. Regression analysis 3-Model 1 indicated age and admission cognition FIM scores predicts 70.5% of the variance of discharge cognition FIM scores. Model 2, recreational therapy treatment units added 0.9% to the variance of discharge cognition FIM scores; discharge admission cognition FIM scores and RT added statistically significant to the prediction. Conclusions: Among this stroke population, age, respective admission FIM score and recreational therapy contributed to prediction of discharge FIM. Further research is need to identify what treatment types are more beneficial for predicting discharge FIM scores.

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