Trauma and Stressor Related Disorders and Disasters
Benjamin C. Darnell, Ph.D.
Postdoctoral Fellow
VA Boston Healthcare System
Worcester, Massachusetts
Breanna Grunthal, B.A.
Lab Manager
VA Boston Healthcare System
Quincy, Massachusetts
Maya Bina N. Vannini, B.S.
Health Science Specialist
VA Boston Healthcare System
Somverville, Massachusetts
Willie J. Hale, Ph.D.
Assistant Professor and Director
University of Texas Health Science Center at San Antonio
San Antonio, Texas
Stacey Young-McCaughan, Ph.D., RN
Professor
University of Texas Health Science Center at San Antonio
San Antonio, Texas
Peter T. Fox, M.D.
Director
University of Texas Health Science Center at San Antonio
San Antonio, Texas
Donald McGeary, ABPP, Ph.D.
Associate Professor, Department of Psychiatry and Behavioral Sciences
University of Texas Health Science Center San Antonio
San Antonio, Texas
Patricia A. Resick, Ph.D., ABPP, Ph.D.
Professor of Psychiatry and Behavioral Sciences
Duke Health
Chapel Hill, North Carolina
Denise M. Sloan, Ph.D.
Associate Director
VA Boston Healthcare System
Boston, Massachusetts
Daniel J. Taylor, Ph.D.
Professor
University of Arizona
Tucson, Arizona
Richard Schobitz, Ph.D.
Deputy Chief
Joint Base San Antonio-Fort Sam Houston
San Antonio, Texas
Christian Schrader, M.D.
Program Director
Carl R. Darnall Army Medical Center
Fort Hood, Texas
Jeffrey Yarvis, Ph.D.
Senior Professor of Practice
Tulane University
New Orleans, Louisiana
Terence Keane, Ph.D.
Associate Chief of Staff for Research & Development
VA Boston Healthcare System
Boston, Massachusetts
Alan L. Peterson, Ph.D.
Professor
University of Texas Health Science Center at San Antonio
San Antonio, Texas
Brett Litz, Ph.D.
Professor
Boston University
Jamaica Plain, Massachusetts
True evidence-based psychotherapy is more than following a treatment approach that is supported by empirical evidence; it also entails assessing and tracking change, or the lack thereof, over the course of treatment. In theory, repeated (e.g., weekly) outcome monitoring provides evidence to guide clinical and shared decision-making about whether expected change is occurring, and if not, a new course of action needs to be charted (i.e., measurement-based care). In PTSD treatment, the PTSD Checklist for DSM-5 (PCL-5; Weathers et al., 2013) is the most common method used to track change in both clinical and research contexts. The PCL-5 was designed and validated to assess PTSD symptoms over the last month. Ad hoc weekly versions of the PCL-5 (sometimes indexed to “since the last visit”) have been created to track change (e.g., Bragesjö et al., 2021), but no study to date has assessed the reliability and validity of these less than monthly versions of the test. In this study, we plan to determine if the PCL-5 – weekly version (PCL-5-W) measures the same latent construct as the monthly version (PCL-5-M), specifically examining the lateral invariance between the two forms. Secondary data analyses will be conducted using PCL-5 data from four time points (i.e., baseline, session 1 – session 3), culled from the datasets for 6 South Texas Research Organizational Network Guiding Studies on Trauma and Resilience (STRONG STAR) Consortium and the Consortium to Alleviate PTSD (CAP) clinical trials (~N = 940). Preliminary analyses were conducted using data from one of these trials; an examination of intensive treatment for combat-related PTSD (N = 234). Confirmatory factor analyses (N = 234) replicated a 7-factor structure (e.g., Wortmann et al., 2016) for the PCL-5-M at baseline (N = 234), χ2(210) = 1750.03, p < .001, CFI = .94, TLI = .92, SRMR = .05, RMSEA = .05, and a 7-factor structure for the PCL-5-W at 3-weeks post-baseline (n = 175), χ2(149) = 257.861, p < .001, CFI = .96, TLI = .95, SRMR = .03, RMSEA = .07. The internal consistency reliability of the PCL-5-W at 3-weeks post-baseline was excellent (PCL-5-W, α = .97). The stability in the number of PCL-5 factors across monthly and weekly versions, and the excellent internal consistency for the PCL-5-W, provides initial evidence that the PCL-5-M and PCL-5-W measures the same latent construct. Using all CAP trials, we will be examining the structural invariance between versions of the PCL-5, and the temporal invariance of the PCL-5-W over 3 time points, using nested χ2 tests to examine equality of factor structure, factor loadings, and indicator error variances between PCL-5 versions and for the PCL-5-W across time. We will also examine the convergent validity of the PCL-5-W by examining its correlation with a repeated measure of depression symptoms. We predict strong, positive correlations between the PCL-5-Ws, PHQ-9s, and the PCL-5-M. The results of these analyses will represent the first test of the construct validity of a weekly symptom tracking version of the PCL-5.