Posttraumatic stress disorder treatment preference: Prolonged exposure therapy, cognitive processing therapy, or medication therapy?
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.
Bibliographic record
Abstract
= 126) read descriptions of front-line recommended treatments for PTSD, including prolonged exposure therapy (PE), cognitive-processing therapy (CPT), and medication therapy (MT). Participants selected their treatment of choice and provided ratings of the credibility and their personal reactions to each treatment. Participants generally preferred psychotherapeutic treatments (CPT and PE) over MT, and this finding persisted when considering likely PTSD. Trauma support group participants and students with no likely PTSD showed preference towards CPT over PE, and students with likely PTSD preferred both CPT and PE over MT. In both groups, credibility and personal reaction ratings were also generally higher for the psychotherapeutic treatments than MT, with the highest ratings of credibility and personal reactions for CPT. There was a significant interaction between treatment type and likely PTSD for credibility and personal reaction ratings among students, such that students with likely PTSD had lower credibility and personal reaction ratings to MT. Determining preference for PTSD treatment has important implications for maximizing treatment efficacy, adherence, and engagement. Our results indicate that individuals generally prefer psychotherapeutic treatments, highlighting the need to increase the availability and utilization of evidence-based psychotherapeutic treatments for PTSD. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 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 it