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Record W2137713289 · doi:10.1682/jrrd.2011.10.0198

Dissemination and experience with cognitive processing therapy

2012· review· en· W2137713289 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Rehabilitation Research and Development · 2012
Typereview
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsCognitive processing therapyVeterans AffairsCognitionCognitive therapyMental healthInterpersonal communicationMedicineRandomized controlled trialDisseminationHealth carePsychologyPsychiatryClinical psychology

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.926
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.301
GPT teacher head0.547
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it