Examining how organizational leaders perceive internet-delivered cognitive behavioural therapy for public safety personnel using the RE-AIM implementation framework
Bibliographic record
Abstract
Background: Within Canada, internet-delivered cognitive behavioural therapy (ICBT) has recently been tailored by PSPNET to meet the needs of public safety personnel (PSP) to help address high rates of mental health problems within this population. Perceptions and outcomes of ICBT among PSP are promising, but it remains unknown how PSPNET is perceived by PSP organizational leaders. It is important to assess this gap because these leaders have significant potential to influence the uptake of ICBT. Methods: = 10) were interviewed to examine their perceptions of PSPNET and opportunities to improve ICBT implementation. The RE-AIM evaluation framework was used to assess PSP leaders' perceptions of PSPNET in terms of reach, effectiveness, adoption, implementation, and maintenance. Results: The results evidenced that leaders perceived PSPNET as effective in reaching and serving PSP and PSP organizations. PSP leaders reported perceiving ICBT as effectively implemented, especially for being freely offered to individual PSP and for improving PSP's access to experienced therapists specifically trained to work with PSP. Participants indicated organizations have promoted and will continue promoting PSPNET longer-term, facilitating adoption and maintenance. Factors perceived as facilitating successful service delivery included building relationships and trust with PSP organizations and general support for PSP leadership mental health initiatives. PSP leaders identified perceived areas for improving ICBT implementation (e.g., ensuring leaders have access to data on PSPNET uptake and outcomes, creating promotional videos, expanding availability of PSPNET to other provinces, offering additional options for receiving therapist support). Implications: Overall, the study provides insights into PSP leaders' perceptions of the implementation of ICBT among PSP and ideas for optimizing implementation efforts.
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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 | 0.020 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".