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Journal Article

Citation

Sherer M, Poritz JMP, Tulsky D, Kisala P, Leon-Novelo L, Ngan E. Arch. Phys. Med. Rehabil. 2017; ePub(ePub): ePub.

Affiliation

University of Texas Health Science Center at Houston-School of Public Health, Houston, Texas, USA.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.apmr.2017.04.016

PMID

28527644

Abstract

OBJECTIVE: To determine the factor structure of the Traumatic Brain Injury - Quality of Life (TBI-QOL) measurement system.

DESIGN: Observational. SETTING: 3 TBI Model Systems rehabilitation centers in the US PARTICIPANTS: and Methods: 20 TBI-QOL item banks were administered to a sample of 504 community-dwelling adults with traumatic brain injury (TBI) as part of a study of TBI classification. A subsample of n=200 participants was randomly selected for exploratory factor analyses (EFA), while data from the remaining 304 participants were used for the confirmatory factor analysis (CFA). To examine a wide range of conceptual models, CFA were conducted on a total of 16 models, ranging from 1 to 7 factors.

RESULTS: Initial EFA yielded support for a 5-factor model (negative emotion, cognitive impairment, functioning and participation, positive emotion, and pain). CFA 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 RMSEA=0.063, SRMR=0.035, CFI=0.955, TLI=0.943, and BIC=40059.44).

CONCLUSIONS: 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.

Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.


Language: en

Keywords

Factor analysis; Health-related quality of life; Patient reported outcome measures; Traumatic brain injury

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