Implementation, Uptake, and Culture Change: Results of a Key Informant Study of a Workplace Mental Health Training Program in Police Organizations in Canada
Bibliographic record
Abstract
BACKGROUND: Organizational characteristics and attributes are critical issues to consider when implementing and evaluating workplace training. This study was a qualitative examination of the organizational context as it pertained to the implementation of a workplace mental health program called Road to Mental Readiness (R2MR) in police organizations in Canada. METHODS: We conducted a qualitative key informant study in 9 different policing organizations in Canada. RESULTS: The central theme of "successful cultural uptake" emerged as key to R2MR's implementation and the ability to facilitate broader culture change. Successful cultural uptake was enabled by several contextual factors, including organizational readiness, strong leadership support, ensuring good group dynamics, credibility of the trainers, implementing widely and thoroughly, and implementing R2MR as one piece of a larger puzzle. Successful cultural uptake was also described as enabling R2MR's impact for broader cultural change within the organization. This enablement occurred through enhanced dialogue about mental health and the introduction of a common language, a supportive workplace culture, increased help seeking, and organizational momentum for additional mental health programming and policy initiatives. CONCLUSION: Successful uptake of R2MR has the potential to lead to promote change within policing organizations. The model derived from our research may function as a tool or roadmap to help guide other organizations in the process of or planning to implement R2MR or a similar intervention.
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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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".