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Related Experiment Video

Updated: Dec 26, 2025

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
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Functional Performance and Discharge Setting Predict Outcomes 3 Months After Rehabilitation Hospitalization for

Allen W Brown1, Melody Lee1, Ryan J Lennon2

  • 1Department of Physical Medicine & Rehabilitation, Mayo Clinic, Rochester, Minnesota.

Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association
|March 11, 2020
PubMed
Summary
This summary is machine-generated.

Functional Independence Measure scores and living setting post-stroke rehabilitation are best predicted by discharge status. This finding helps patients and clinicians anticipate recovery and plan post-hospital care needs.

Keywords:
Communitynursing homeoutcomerehabilitation

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Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Health Services Research

Background:

  • Clinical features post-stroke can predict outcomes and inform care planning.
  • Identifying modifiable factors is crucial for post-hospital service needs assessment.
  • Stroke rehabilitation outcomes require robust prediction models.

Purpose of the Study:

  • To identify key predictors of functional independence and living setting 3 months post-stroke rehabilitation.
  • To utilize a large national dataset for comprehensive analysis.
  • To inform post-acute care planning for stroke survivors.

Main Methods:

  • Utilized the Uniform Data System for Medical Rehabilitation (2005-2007) for stroke patient records.
  • Included demographic, administrative, and clinical variables at admission, discharge, and 3-month follow-up.
  • Primary outcomes: Functional Independence Measure (FIM) score and living setting at 3 months.

Main Results:

  • Sample: 16,346 stroke patients (80% white, 50% women, mean age 70.3 years).
  • Strongest predictors of 3-month FIM score and living setting were discharge status.
  • Other variables (age, lesion laterality, impairment, comorbidities) showed less predictive power.

Conclusions:

  • Discharge status is a key, albeit modest, predictor of post-acute outcomes for stroke patients.
  • Clinicians, patients, and families can use these findings to set expectations.
  • Future models could improve prediction by including educational status, socioeconomic factors, and brain imaging.