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Predicting discharge destination of stroke patients using a mathematical model based on six items from the Functional
1Physical Medicine and Rehabilitation Department, St. Luke's Hospital, Bethlehem, PA 18015, USA.
Archives of Physical Medicine and Rehabilitation
|January 1, 1996
Summary
A mathematical model using the Functional Independence Measure (FIM) can predict stroke patient discharge location with 70% accuracy. Key FIM items help determine appropriate disposition from acute care hospitals.
Area of Science:
- Rehabilitation Medicine
- Neurology
- Health Services Research
Background:
- Predicting patient disposition after acute stroke is crucial for resource allocation and care planning.
- The Functional Independence Measure (FIM) assesses functional status but its predictive utility in acute care for disposition requires further investigation.
Purpose of the Study:
- To develop and validate a mathematical model using initial Functional Independence Measure (FIM) scores to predict the discharge disposition of stroke patients from an acute care hospital.
Main Methods:
- A case series of 279 acute stroke patients admitted to a tertiary care center was analyzed.
- Discriminant analysis identified significant FIM items for predicting discharge to home, rehabilitation, or nursing home.
- An 18-item FIM was administered within 3 days of admission and 24 hours of discharge.
Main Results:
- Six initial FIM items—bathing, bowel, toileting, social interaction, dressing lower body, and eating—accurately predicted patient disposition with 70% accuracy.
- The developed model demonstrated statistically significant predictive capability for discharge location.
Conclusions:
- The Functional Independence Measure (FIM) is an effective tool in the acute care setting for predicting patient discharge status.
- Specific FIM variables demonstrate higher predictive value for determining appropriate post-acute care placement for stroke survivors.