Building Resilience Against ViolencE (BRAVE): protocol of a parenting intervention for mothers and fathers with post-traumatic stress disorder in Pakistan
Bibliographic record
Abstract
Background: Prevalence of post-traumatic stress disorder (PTSD) is high in Pakistan both due to natural disasters and ongoing conflicts. Offspring of trauma survivors are at increased risk for mental and physical illnesses. Parental PTSD has been linked to troubled parent-child relationships, behaviour problems, trauma symptoms, and depression in children. This study aims to explore the acceptability, feasibility and indications of the effectiveness of group learning through play plus trauma-focused cognitive behaviour therapy (LTP Plus TF-CBT) for parents experiencing PTSD. Methods/Design: This is a two-arm pilot cluster randomised controlled trial (RCT). We aim to recruit 300 parents with a diagnosis of PTSD. The screening will be done using the Impact of Event Scale-Revised. Diagnosis of PTSD will be confirmed using the Clinician-Administered PTSD Scale-5 (CAPS-5). Union Councils from Peshawar and Karachi will be randomised into either group LTP Plus TF CBT arm or treatment as usual (TAU). The intervention includes 12 sessions of LTP Plus TF-CBT delivered weekly in the first 2 months and then fortnightly in a group setting by trained psychologists. The groups will be co-facilitated by the community health workers (CHWs). Parents will be assessed at baseline and 4th month (end of the intervention), using the Patient Health Questionnaire (PHQ-9), Generalised Anxiety Disorder (GAD-7) Scale, Client Service Receipt Inventory (CSRI), and Ages and Stages Questionnaire (ASQ-3). Discussion: This trial would help build an understanding of the acceptability, feasibility and indications of the effectiveness of a low-cost parenting intervention.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.035 | 0.003 |
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".