Model System:
TBIReference Type:
JournalAccession No.:
Journal:
Archives of Physical Medicine and Rehabilitation
Year, Volume, Issue, Page(s):
, 101, 1, P33-42Publication Website:
https://www.archives-pmr.org/article/S0003-9993(19)31045-7/fulltextAbstract:
Objective: To develop an item response theory (IRT)-calibrated, patient-reported outcome measure of subjective independence for individuals with traumatic brain injury (TBI).
Design: Large-scale item calibration field testing; confirmatory factor analysis (CFA) and graded response model IRT analyses.
Setting: Five TBI Model System centers across the United States.
Participants: Adults with complicated mild, moderate, or severe TBI (N=556).
Outcome Measures: Traumatic Brain Injury–Quality of Life (TBI-QOL) Independence item bank and the TBI-QOL Asking for Help scale.
Results: A total of 556 individuals completed 44 items in the Independence item pool. Initial factor analyses indicated that items related to the idea of “asking for help” were measuring a different construct from other items in the pool. These 9 items were set aside. Twenty-two other items were removed because of bimodal distributions and/or low item-total correlations. CFA supported unidimensionality of the remaining Independence items. Graded response model IRT analysis was used to estimate slopes and thresholds for the final 13 Independence items. An 8-item fixed-length short form was also developed. The 9 Asking for Help items were analyzed separately. One misfitting item was deleted, and the final 8 items became a fixed-length IRT-calibrated scale. Reliability was high for both measures.
Conclusions: The IRT-calibrated TBI-QOL Independence item bank and short form and TBI-QOL Asking for Help scale may be used to measure important issues for individuals with TBI in research and clinical applications.
Full article available at link.
Author(s):
Pamela A. Kisala, MA; David S. Tulsky, PhD; Aaron J. Boulton, PhD; Allen W. Heinemann, PhD; David Victorson, PhD; Mark Sherer, PhD Angelle M. Sander, PhD; Nancy Chiaravalloti, PhD; Noelle E. Carlozzi, PhD; Robin Hanks, PhD