A randomized trial of brief couple therapy for PTSD and relationshipsatisfaction.
Bibliographic record
Abstract
OBJECTIVE: This three-arm randomized trial tested a brief version of cognitive-behavioral conjoint therapy (bCBCT) delivered in two modalities compared to couples' psychoeducation in a sample of U.S. veterans with posttraumatic stress disorder (PTSD) and their intimate partners. METHOD: Couples were randomized to receive (a) in-person, office-based bCBCT (OB-bCBCT), (b) bCBCT delivered via home-based telehealth (HB-bCBCT), or (c) an in-person psychoeducation comparison condition (PTSD family education [OB-PFE]). Primary outcomes were clinician-assessed PTSD severity (Clinician Administered PTSD Scale), self-reported psychosocial functioning (Brief Inventory of Psychosocial Functioning), and relationship satisfaction (Couples Satisfaction Index) at posttreatment and through 6-month follow-up. RESULTS: PTSD symptoms significantly decreased by posttreatment with all three treatments, but compared to PFE, PTSD symptoms declined significantly more for veterans in OB-bCBCT (between-group d = 0.59 [0.17, 1.01]) and HB-bCBCT (between-group d = 0.76 [0.33, 1.19]) treatments. There were no significant differences between OB-bCBCT and HB-bCBCT. Psychosocial functioning and relationship satisfaction showed significant small to moderate improvements, with no differences between treatments. All changes were maintained through 6-month follow-up. CONCLUSIONS: A briefer, more scalable version of CBCT showed sustained effectiveness relative to an active control for improving PTSD symptoms when delivered in-person or via telehealth. Both bCBCT and couples' psychoeducation improved psychosocial and relational outcomes. These results could have a major impact on PTSD treatment delivery within large systems of care where access to brief, evidence-based PTSD treatments incorporating family members are needed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".