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Record W4367310683 · doi:10.1186/s12954-023-00789-8

Community partner perspectives on the implementation of a novel safer supply program in Canada: a qualitative study of the MySafe Project

2023· article· en· W4367310683 on OpenAlexafffundabout
Manal Mansoor, Annie Foreman-Mackey, Andrew Ivsins, Geoff Bardwell

Bibliographic record

VenueHarm Reduction Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsSt. Paul's HospitalUniversity of WaterlooBritish Columbia Centre on Substance Use
FundersCanadian Institutes of Health ResearchHealth Canada
KeywordsSAFERBusinessPublic relationsHarm reductionThematic analysisQualitative researchPsychological interventionNursingMedicinePublic healthSociologyPolitical scienceComputer security

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.876

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.170
GPT teacher head0.474
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2023
Admission routes3
Has abstractyes

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