Dispensing mifepristone for medical abortion in Canada: Pharmacists’ experiences of the first year
Bibliographic record
Abstract
Background: Mifepristone for medical abortion was first dispensed by community pharmacists in Canada directly to patients in January 2017. We asked about pharmacists’ experiences over their first year dispensing mifepristone in order to evaluate the frequency of the new practice and assess availability in urban/rural pharmacies. Methods: From August to December 2019, we invited 433 community pharmacists who had completed a baseline survey at least 1 year prior to participate in a follow-up online survey. We summarized categorical data using counts and proportions and conducted a qualitative thematic analysis of open-ended responses. Results: Among 122 participants, 67.2% had dispensed the product, and 48.4% routinely stocked mifepristone. Pharmacists reported a mean of 26 and median of 3 (interquartile range, 1, 8) mifepristone prescriptions filled in their pharmacies in the previous year. Participants perceived that the benefits of making mifepristone available in pharmacies included increased abortion access for patients ( n = 115; 94.3%), reduced pressure on the health care system ( n = 104; 85.3%), increased rural and remote abortion access ( n = 103; 84.4%) and increased interprofessional collaborations ( n = 48; 39.3%). Few participants reported challenges to maintaining adequate stock of mifepristone, but these challenges included low demand ( n = 24; 19.7%), short expiry dating ( n = 12; 9.8%) and drug shortages ( n = 8; 6.6%). The overwhelming majority, 96.7%, reported that their communities did not resist the provision of mifepristone by their pharmacy. Interpretation: Participating pharmacists reported many benefits and very few barriers to stocking and dispensing mifepristone. Both urban and rural communities responded positively to enhanced access to mifepristone in their community. Conclusions: Mifepristone is well accepted by pharmacists within the primary care system in Canada.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".