An Initial Examination of Couple Therapy for PTSD Outcomes Among Black/African American Adults: Findings from an Uncontrolled Trial with Military Dyads
Bibliographic record
Abstract
Black/African American individuals experience high rates of posttraumatic stress disorder (PTSD), which is frequently chronic and undertreated in this population. Intimate relationships are a salient resource for Black/African American adults’ psychological well-being. To help advance health equity, this study serves as an initial, proof-of-concept investigation of patient outcomes among Black/African American adults who received a disorder-specific couple therapy for PTSD. Participants were a subsample of seven Black/African American adults (mean age = 40.56 years, SD = 10.18; 85.7% male) who participated in an uncontrolled trial of an abbreviated, intensive, multi-couple group version of cognitive-behavioral conjoint therapy for PTSD with 24 military dyads. Treatment was delivered over 2 days in a weekend retreat format. Assessments were administered at baseline, 1 month post-retreat, and 3 months post-retreat. There were large and significant decreases in patients’ PTSD symptoms based on clinicians’ and patients’ ratings (ds −1.37 and −1.36, respectively) by the 3-month follow-up relative to baseline. There were also large and significant decreases in patients’ depressive, anxiety, and anger symptoms (ds −1.39 to −1.93) and a large, marginally significant decrease in patients’ insomnia (d = −0.85; p = 0.083). Patients reported a medium, non-significant increase in relationship satisfaction (d = 0.68; p = 0.146) and a large, marginally significant increase in joint dyadic coping (d = 0.90; p = 0.069). Findings offer preliminary evidence that treating PTSD within a couple context is a relevant strategy to reduce PTSD and comorbid symptoms among partnered Black/African American adults and a promising approach to enhance relationships.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".