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Transforming a Traumatic Brain Injury Measure of Participation Into a Psychometrically Sound Spinal Cord Injury
Gale G Whiteneck1, Julie Gassaway2, Jessica M Ketchum1
1Craig Hospital, Englewood, Colorado.
Archives of Physical Medicine and Rehabilitation
|August 18, 2019
Summary
The Participation Assessment with Recombined Tools-Objective (PART-O) effectively measures participation in spinal cord injury (SCI) individuals. This validated tool offers superior psychometric properties compared to the Craig Handicap Assessment and Reporting Technique-Short Form (CHART-SF).
Area of Science:
- Rehabilitation medicine
- Clinical assessment tools
- Psychometrics
Background:
- Measuring participation is crucial for individuals with spinal cord injury (SCI).
- Existing tools like the Craig Handicap Assessment and Reporting Technique-Short Form (CHART-SF) have limitations.
- The Participation Assessment with Recombined Tools-Objective (PART-O) is a potential alternative for SCI participation assessment.
Purpose of the Study:
- To evaluate the utility of the PART-O for measuring participation in individuals with SCI.
- To compare the psychometric properties of PART-O with the CHART-SF in an SCI population.
Main Methods:
- A follow-up survey of an inception cohort of 468 individuals with SCI was conducted.
- Rasch analysis was employed to evaluate the SCI-specific scoring of PART-O.
- Test-retest reliability and correlation with CHART-SF domains were assessed.
Main Results:
- SCI-specific PART-O scoring demonstrated unidimensionality, good person separation (2.00), and reliability (.80).
- PART-O exhibited a normal distribution without floor or ceiling effects, unlike CHART-SF.
- High test-retest reliability (0.97) and a strong correlation (0.79) with CHART-SF domains were observed.
Conclusions:
- PART-O is a suitable and effective measure for assessing participation in individuals with SCI.
- The newly developed SCI-specific scoring for PART-O offers improved psychometric properties and advantages over the CHART-SF.
- This validated, univariate interval measure enhances participation assessment in the SCI population.
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