Citation

Tulsky DS, Kisala PA, Kalpakjian CZ, Bombardier CH, Pohlig RT, Heinemann AW, Carle A, Choi SW. J. Spinal Cord Med. 2015; 38(3): 335-346.

Copyright

(Copyright © 2015, Academy of Spinal Cord Injury Professionals, Publisher Maney Publishing)

DOI

10.1179/2045772315Y.0000000020

PMID

26010968

PMCID

PMC4445024

Abstract

OBJECTIVE To develop a calibrated spinal cord injury-quality of life (SCI-QOL) item bank, computer adaptive test (CAT), and short form to assess depressive symptoms experienced by individuals with SCI, transform scores to the Patient Reported Outcomes Measurement Information System (PROMIS) metric, and create a crosswalk to the Patient Health Questionnaire (PHQ)-9. Design We used grounded-theory based qualitative item development methods, large-scale item calibration field testing, confirmatory factor analysis, item response theory (IRT) analyses, and statistical linking techniques to transform scores to a PROMIS metric and to provide a crosswalk with the PHQ-9. Setting Five SCI Model System centers and one Department of Veterans Affairs medical center in the United States. Participants Adults with traumatic SCI. Main Outcome Measures Spinal Cord Injury - Quality of Life (SCI-QOL) Depression Item Bank Results Individuals with SCI were involved in all phases of SCI-QOL development. A sample of 716 individuals with traumatic SCI completed 35 items assessing depression, 18 of which were PROMIS items. After removing 7 non-PROMIS items, factor analyses confirmed a unidimensional pool of items. We used a graded response IRT model to estimate slopes and thresholds for the 28 retained items. The SCI-QOL Depression measure correlated 0.76 with the PHQ-9.

CONCLUSIONS The SCI-QOL Depression item bank provides a reliable and sensitive measure of depressive symptoms with scores reported in terms of general population norms. We provide a crosswalk to the PHQ-9 to facilitate comparisons between measures. The item bank may be administered as a CAT or as a short form and is suitable for research and clinical applications.

Language: en