Initial outcomes of couple HOPES: A guided online couple intervention for PTSD and relationship enhancement
Bibliographic record
Abstract
Couple HOPES (Helping Overcome PTSD and Enhance Satisfaction) is a guided, online couple intervention adapted from Cognitive-Behavioral Conjoint Therapy for posttraumatic stress disorder (PTSD). It was created to overcome a range of barriers to accessing evidence-based treatments for PTSD and the intimate relationship problems associated with it. This manuscript describes initial outcomes of the intervention in a series of 10 couples. Participants were military, veteran and first responders with probable PTSD and their intimate partners. Couples completed the program and measurements of PTSD, relationship satisfaction, and secondary outcomes at pre-, mid-, and post-intervention. Mean satisfaction for the program was high and it was completed by seven of ten couples. Participants with PTSD evidenced significant and large pre- to post-intervention effect size improvements in PTSD symptoms (g = 0.80) and perceived health (g = 1.13). They also exhibited non-significant but medium effect size pre- to post-intervention improvements in quality of life (g = 0.62), and depression (g = 0.53), and small effect size pre- to post-intervention improvements in argumentativeness (g = 0.43), anger (g = 0.31), and anxiety (g = 0.31). Partners reported significant and moderate pre- to post-intervention effect size improvements in relationship satisfaction (g = 0.68), and medium but not significant effect size improvements in accommodation of PTSD (g = 0.56). Results provide initial support for the feasibility, acceptability, and efficacy of Couple HOPES for improving PTSD and relationship satisfaction. However, more testing in larger samples, including with randomized controlled designs, is needed.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".