Perceived Barriers and Facilitators to Providing Methadone Maintenance Treatment Among Rural Community Pharmacists in Southwestern Ontario
Bibliographic record
Abstract
PURPOSE: Misuse of opioids has become a public health concern across North America. Rural patients have limited access to methadone maintenance treatment (MMT), an opioid addiction-treatment service that could be offered by community pharmacists. The aim of this study was to identify rural community pharmacists' perceived barriers, motivations, and solutions to offering MMT to their patients. METHODS: One-on-one, semistructured interviews were conducted with 11 community pharmacists who practice in rural southwestern Ontario. Interview transcripts were analyzed using inductive qualitative content analysis. FINDINGS: Increased workload, extended operating hours, and concerns about safety, theft, burglary, community resistance, and availability of methadone training courses were identified as pharmacist-related barriers to providing MMT services. Professional satisfaction and community service were primary motivations for offering the service. Limited pharmacy staff availability exacerbated concerns about increased workload and security. Slower rural emergency-response times were cited among safety concerns. Participating pharmacists felt that rural regions had fewer MMT prescribers and that rural community members had greater apprehension about addiction-treatment services than those in urban communities. Pharmacists proposed that coordinating MMT service provision across multiple community pharmacies in the region could help improve access to treatment among their patients. CONCLUSION: Rural community pharmacy practice has unique barriers to implementing and providing MMT services. A coordinated, multipharmacy approach may be an option to provide and expand MMT services in rural regions.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".