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Related Experiment Videos

Performance profiles of the functional independence measure

C V Granger1, B B Hamilton, J M Linacre

  • 1Department of Rehabilitation Medicine, State University of New York, Buffalo.

American Journal of Physical Medicine & Rehabilitation
|April 1, 1993
PubMed
Summary

This study used Rasch analysis to understand patient difficulties with the Functional Independence Measure (FIM). Motor and cognitive FIM items showed distinct difficulty patterns across various impairment groups, aiding rehabilitation planning.

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Area of Science:

  • Rehabilitation Medicine
  • Psychometrics
  • Disability Assessment

Background:

  • The Functional Independence Measure (FIM) assesses patient disability and rehabilitation progress.
  • Rasch analysis is a statistical method for converting ordinal data into interval measures.
  • Understanding FIM item difficulty is crucial for effective rehabilitation.

Purpose of the Study:

  • To apply Rasch analysis to derive FIM measures.
  • To identify patterns of difficulty in performing FIM items.
  • To analyze these patterns across different impairment groups.

Main Methods:

  • Rasch analysis was employed to analyze FIM item performance.
  • Relative item difficulty and patient ability were key factors.
  • Data were analyzed for motor and cognitive FIM items separately.

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Main Results:

  • Two dominant difficulty patterns emerged: one for motor items and one for cognitive items.
  • Motor items: Eating/grooming were easiest; stair climbing/transfers/locomotion were hardest.
  • Cognitive items: Expression/comprehension were easiest; problem-solving was hardest.

Conclusions:

  • Difficulty patterns were consistent across impairment groups, though not identical.
  • Understanding these patterns allows for more precise treatment design and outcome prediction in medical rehabilitation.
  • Specific examples illustrate motor and cognitive item difficulties in orthopedic, stroke, spinal cord, and brain dysfunction groups.