A pilot study of interpersonal process group therapy for PTSD in Canadian Veterans
Bibliographic record
Abstract
Introduction: The present pilot study was designed to explore interpersonal process (IP) group therapy for post-traumatic stress disorder (PTSD); a novel and relatively untested treatment approach for PTSD. IP groups seek to normalize patients’ symptoms and enhance functioning by creating a safe environment wherein participants can engage with others who share similar experiences and symptoms. Methods: Present IP groups met weekly for 12 weeks. Participants included 20 Canadian male Veterans and RCMP officers (10 per treatment group) with a primary diagnosis of PTSD. All participants had previously received first-line treatments for PTSD but continued to experience serious limitations in functioning. Key measures of interest (i.e., PTSD, negative affect, moral injury) were administered immediately pre- and post-intervention. Qualitative data was collected from a subset of participants ( n = 6). Results: Baseline scores revealed significantly elevated symptom levels compared to normative and clinical samples. Retention rate over the course of therapy was 100%, a rare and important finding in clinical research generally, and in the PTSD population more specifically. Qualitative feedback was consistently positive; feedback also suggested future potential improvements for the therapeutic intervention. There was a significant reduction in anxiety (specifically, physiological hyperarousal) pre- to post-intervention, with a partial eta squared ( n2 p) value of 0.26, indicating a large effect size. Discussion: Examination of individual scores showed that fully one-third of participants demonstrated a reliable improvement in both physiological anxiety and anxiety sensitivity (AS), both of which have been implicated in the exacerbation and maintenance of other PTSD symptoms. Results support a randomized controlled trial of group IP for PTSD.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".