Internet-delivered cognitive behavioural therapy for symptoms of PTSD among public safety personnel: Initial outcomes of an open cohort preference trial of transdiagnostic and disorder-specific therapy
Bibliographic record
Abstract
Public safety personnel (PSP) face high rates of mental health problems and many barriers to care. Initial outcomes of transdiagnostic internet-delivered cognitive behavioural therapy (ICBT) tailored for PSP are promising, but prior research has not evaluated outcomes of PTSD-specific ICBT among PSP or PSP's preferences for transdiagnostic or PTSD-specific ICBT. The current paper presents the initial outcomes (N = 150) of a mixed-methods observational study designed to (a) investigate preferences for transdiagnostic or PTSD-specific ICBT among PSP with elevated symptoms of PTSD and/or a primary concern with PTSD symptoms and (b) explore potential differences in client engagement, satisfaction, and symptom changes between the two forms of ICBT. PSP completed questionnaires before and after their preferred ICBT program. Mixed-methods analyses included generalized estimating equations, descriptive statistics, and inductive conventional qualitative content analysis. More clients (n = 85; 57 %) selected transdiagnostic ICBT than PTSD-specific ICBT (n = 65; 43 %), but the difference in the number of clients who selected each course was not statistically significant. Clients in both ICBT programs reported similar and favorable treatment satisfaction (e.g., 98 % would recommend the course to a friend), treatment engagement (i.e., 69 % accessed at least four of the five lessons), and pre-post improvement in symptoms (e.g., Hedges' g = 0.81 for reduction in PTSD symptom). Transdiagnostic ICBT resulted in greater reductions in symptoms of panic disorder than PTSD-specific ICBT. Qualitative analyses showed similarities across the ICBT programs in client feedback. The current study provides further evidence supporting the use and outcomes of ICBT for PSP in both transdiagnostic and disorder-specific formats. Implications for the literatures on PSP mental health and ICBT, as well as practical recommendations, are discussed.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".