
@article{ref1,
title="Psychometric properties of two participation measures in veterans with mild traumatic brain injury",
journal="Archives of physical medicine and rehabilitation",
year="2018",
author="Wen, Pey-Shan and Waid-Ebbs, J. Kay and Graham, David P. and Helmer, Drew A.",
volume="99",
number="2S",
pages="S86-S93",
abstract="OBJECTIVE: To compare the psychometric properties of two commonly used participation measures: the Community Reintegration of Service Members (CRIS) and the Participation Assessment with Recombined Tools-Objective (PART-O) in Veterans with mild traumatic brain injury (mTBI). <br><br>DESIGN: The data were collected from two cross-sectional observation studies conducted in two Veterans Affairs medical centers. SETTING: Questionnaires were completed in-person or by mail. PARTICIPANTS: Veterans with mild TBI were recruited from the Michael E. DeBakey Veterans Affairs Medical Center in Houston (N=94) and the Malcom Randall North Florida/South Georgia Veterans Health System (N=107). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: CRIS and PART-O. <br><br>RESULTS: We conducted Rasch analysis on the PART-O and on three subscales of the CRIS (Extent of Participation, Perceived Limitation, and Satisfaction). For PART-O, results showed PART-O has questionable unidimensionality. For both instruments, some rating categories were under used and rating scales did not advance accordingly. Compared with PART-O, the CRIS was able to distinguish more categories of a person's ability (>5 vs 2 by PART-O ) and had better internal consistency as indicated by higher Cronbach's Alpha (0.96-0.98vs 0.65 for PART-O). <br><br>CONCLUSIONS: To capture participation unique to Veterans with mTBI, CRIS has greater potential to detect a change in participation and is therefore recommended over PART-O. Rating scales of both instruments, however, need further refinement. We suggest future studies examine collapsed rating categories and use qualitative methods to redefine categories.<br><br>Copyright © 2017. Published by Elsevier Inc.<p /> <p>Language: en</p>",
language="en",
issn="0003-9993",
doi="10.1016/j.apmr.2017.04.026",
url="http://dx.doi.org/10.1016/j.apmr.2017.04.026"
}