Culturally adapted trauma-focused CBT-based guided self-help (CatCBT GSH) for female victims of domestic violence in Pakistan: feasibility randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Cognitive behaviour therapy (CBT), self-help and guided self-help interventions have been found to be efficacious and cost effective for victims of trauma, but there are limited data from low- and middle-income countries on culturally adapted interventions for trauma. AIMS: To investigate the feasibility and acceptability of culturally adapted trauma-focused CBT-based guided self-help (CatCBT GSH) for female victims of domestic violence in Pakistan. METHOD: This randomized controlled trial (RCT) recruited 50 participants from shelter homes in Karachi and randomized them to two equal groups. The intervention group received GSH in nine sessions over 12 weeks. The control group was a waitlist control. The primary outcomes were feasibility and acceptability. Secondary outcomes included Impact of Event Scale-Revised (IES-R), Hospital Anxiety and Depression Scale (HADS) and the WHO Disability Assessment Schedule 2 (WHO DAS 2). Assessments were carried out at baseline and at 12 weeks. RESULTS: Out of 60 clients who met DSM-5 criteria for post-traumatic stress disorder (PTSD), 56 (93.3%) agreed to participate in the study. Retention to the intervention group was excellent, with 92% (23/25) attending more than six sessions. Statistically significant differences were noted post-intervention in secondary outcomes in favour of the intervention. CONCLUSIONS: A trial of CatCBT GSH was feasible and the intervention was acceptable to Pakistani women who had experienced domestic violence. Furthermore, it may be helpful in improving symptoms of PTSD, depression, anxiety and overall functioning in this population. The results provide a rationale for a larger, confirmatory RCT of CatCBT GSH.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".