Community partner perspectives on the implementation of a novel safer supply program in Canada: a qualitative study of the MySafe Project
Bibliographic record
Abstract
BACKGROUND: The adulteration of the illicit drug supply with fentanyl and its analogues is driving the ongoing overdose crisis in North America. While various harm reduction interventions address overdose-related risks, there is growing interest in safer supply programs, including the MySafe Project which utilizes a biometric dispensing machine that provides pharmaceutical opioid alternatives to the toxic drug supply. However, the experiences and perspectives of professional community partners on program implementation remain unexplored. This study aims to examine professional community partner perspectives on the feasibility, as well as barriers and facilitators to the implementation of the MySafe program. METHODS: Semi-structured qualitative interviews were conducted with 17 professional community partners involved in program implementation across four pilot locations in Canada. Thematic analysis of interviews focused on perspectives on safer supply, barriers and facilitators faced during program implementation, and recommendations to inform future scale-up of low-barrier safer supply models across Canada. RESULTS: Participants identified a variety of barriers, including the dependence on clinician buy-in, coupled with regulatory and logistical constraints. In addition, some participants perceived hydromorphone to be an inadequate substitute to the increasingly toxic street opioid supply. Lastly, technical difficulties were described as barriers to service uptake and delivery. Conversely, having political and community buy-in, availability of wrap-around services, and collaborative communication from the MySafe team served as facilitators to program implementation. Though community partners preferred establishing MySafe machines into existing community organizations, they also discussed benefits of housing-based MySafe programs. The potential role of this program in mid-sized to rural cities was also emphasized. CONCLUSIONS: To address the overdose crisis, there is an urgent need to implement and evaluate novel solutions that address supply drivers of crisis. Community partner-informed research plays an integral role in ensuring program acceptability and proper implementation. Our findings identify current gaps and facilitators underlying the efficacy of one such model, together with future directions for improvement. Participant recommendations included a diversification of medications offered and types of locations for MySafe programs, a streamlined national approach to prescribing guidelines coupled with more robust training for healthcare professionals, and an emphasis on service delivery within an integrated services model. Our findings underscore a potential gap between the goals of healthcare providers in ensuring comprehensive care and the necessity for low-barrier models such as MySafe that can function both within and outside of integrated service models.
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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 | 0.012 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.028 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".