Barriers and facilitators to the implementation of peer support programs among public safety personnel: a scoping review
Bibliographic record
Abstract
While peer support programs have gained popularity as tools to mitigate stress among public safety personnel, there is a gap in research exploring the factors that contribute to the success of these programs. This scoping review synthesizes findings from international research on peer support programs for public safety personnel, using the PRISMA-ScR guidelines. Thirty-six documents met the eligibility criteria for this review. The results highlight ten themes describing the main barriers and facilitators to the implementation of peer support programs. These include concerns regarding the culture surrounding mental health, confidentiality, role delimitation, clarity of the program’s mission, tangible endorsement by administrators and stakeholders, selection, training and supervision of peer supporters, delivery format, and higher-level governance. By outlining the frequently stated components that may foster or hinder peer support programs, this study provides public safety organizations with insight regarding program design and policy making.
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.
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 | 0.049 | 0.146 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.016 | 0.015 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".