Dissemination and experience with cognitive processing therapy
Bibliographic record
Abstract
Clinical practice guidelines suggest that cognitive behavioral therapies are recommended for the treatment of posttraumatic stress disorder (PTSD). One of these treatments, cognitive processing therapy (CPT), is an evidence-based treatment that has been shown to be effective at treating combat, assault, and interpersonal violence trauma in randomized controlled trials. The Department of Veterans Affairs (VA) Office of Mental Health Services has implemented an initiative to disseminate CPT as part of a broad effort to make evidence-based psychotherapies widely available throughout the VA healthcare system. This article provides an overview of CPT and reviews the efficacy and program evaluation data supporting its use in a variety of settings. In addition, we report on survey data from individuals who have participated in the VA initiative and on outcome data from patients treated by rollout-trained therapists. Our data suggest that many clinicians trained in the rollout show good adoption of the CPT model and demonstrate solid improvements in their patients' PTSD and depressive symptomotology. Finally, we offer recommendations for using CPT in clinical settings.
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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 | 0.026 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".