Treating posttraumatic stress disorder across cultures: A systematic review of cultural adaptations of trauma‐focused cognitive behavioral therapies
Bibliographic record
Abstract
OBJECTIVE: Although trauma-focused cognitive-behavioral therapies (CBTs) for posttraumatic stress disorder (PTSD) have been applied worldwide, the nature of how these Western-based interventions are applied in diverse settings has varied. This paper systematically reviewed the literature on how trauma-focused CBTs have been applied and adapted cross-culturally. METHOD: A systematic review of studies that discuss the process of cultural adaptation of trauma-focused CBTs. RESULTS: Seventeen papers were included and varied in the comprehensiveness of the adaptation process. Two studies stated that a theoretical framework was followed. Almost one-third of the studies did not report whether local stakeholders were involved in the process of application. Fifteen studies examined the efficacy of the adaptations and the results were positive, but the methodology and quality varied. CONCLUSION: There are inconsistencies in how trauma-focused CBTs are culturally adapted. A systematic approach to the transportation of such therapies would enable greater investigation into the necessity and efficacy of such adaptations.
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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 | 0.008 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".