To determine the factor structure of the Traumatic Brain Injury–Quality of Life (TBI-QOL) measurement system.
3 TBI Model Systems rehabilitation centers.
Twenty TBI-QOL item banks were administered to a sample of community-dwelling adults with TBI (N=504) as part of a study of TBI classification. A subsample of participants (n=200) was randomly selected for exploratory factor analyses, while data from the remaining participants (n=304) were used for the confirmatory factor analysis. To examine a wide range of conceptual models, confirmatory factor analyses were conducted on a total of 16 models, ranging from 1 to 7 factors.
Main Outcome Measures
Initial exploratory factor analysis yielded support for a 5-factor model (negative emotion, cognitive impairment, functioning and participation, positive emotion, pain). Confirmatory factor analysis results, however, indicated a 7-factor model including physical function, physical symptoms, cognition, negative emotion, positive emotion, sense of self, and social participation (model 16; robust fit statistics root mean square error of approximation =.063, standardized root mean square residual =.035, comparative fit index =.955, Tucker-Lewis Index =.943, Bayes Information Criterion =40059.44).
The complex 7-factor model of the TBI-QOL provides a more nuanced framework for understanding health-related quality of life for persons with TBI than the commonly used 3-factor model including physical health, mental health, and social health.
List of abbreviations:CFI (comparative fit index), HRQOL (health-related quality of life), Neuro-QOL (Quality of Life in Neurological Disorders), PROMIS (Patient-Reported Outcomes Measurement Information System), RMSEA (root mean square error of approximation), SRMR (standardized root mean square residual), TBI (traumatic brain injury), TBI-QOL (Traumatic Brain Injury Quality of Life), TLI (Tucker-Lewis Index)
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Published online: May 17, 2017
Supported by the U.S. Department of Health and Human Services–Administration for Community Living, National Institute on Disability, Independent Living, and Rehabilitation Research (grant nos. 90RT5007, 90DP0028).
© 2016 by the American Congress of Rehabilitation Medicine