Secondary individual outcomes following multicouple group therapy for posttraumatic stress disorder: An uncontrolled pilot study with military dyads
Bibliographic record
Abstract
Cognitive-behavioral conjoint therapy (CBCT) for posttraumatic stress disorder (PTSD) has demonstrated efficacy for improving PTSD and comorbid symptoms and relationship adjustment. To enhance treatment efficiency and scalability, we developed a 2-day, abbreviated, intensive, multicouple group version of CBCT for PTSD (AIM-CBCT for PTSD). Prior work demonstrated that AIM-CBCT for PTSD wasassociated with reductions in PTSD and comorbid symptoms in a sample of 24 post-9/11 active duty military or veteran couples who received the treatment in a retreat format over a single weekend. The current study investigated secondary outcomes regarding trauma-related cognitions, psychosocial impairment, and insomnia. For trauma-related cognitions, reductions were nonsignificant and small at 1-month follow-up, ds = -0.14 to -0.32. However, by 3-month follow-up, there were significant, medium effect size reductions in total trauma-related cognitions, d = -0.68, and negative views of self and others, ds = -0.64 and -0.57, respectively, relative to baseline. There was also a nonsignificant, small-to-medium effect-size reduction in self-blame, d = -0.43, p = .053, by 3-month follow-up. For psychosocial impairment, there were significant and medium-to-large and large effect size reductions by 1- and 3-month follow-ups, ds = -0.73 and -0.81, respectively. There were nonsignificant, small effect size reductions in insomnia at both 1- and 3-month follow-ups relative to baseline, ds = -0.30 and -0.34, respectively. These findings suggest that AIM-CBCT for PTSD is associated with reductions in maladaptive posttraumatic cognitions and psychosocial impairment but that adjunctive interventions may be needed to address insomnia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".