Pharmacist dispensing of the abortion pill in Canada: Diffusion of Innovation meets integrated knowledge translation
Bibliographic record
Abstract
BACKGROUND: Since Canadian drug regulatory approval of mifepristone for medical abortion in 2015 and its market availability in January 2017, the role of pharmacists in abortion provision has changed rapidly. We sought to identify the factors that influenced the initiation and provision of medical abortion from the perspectives of Canadian pharmacists, bridging two frameworks - Diffusion of Innovation in Health Service Organizations and integrated knowledge translation. METHODS: We conducted one-on-one semi-structured interviews with pharmacists residing in Canada who intended to stock and dispense mifepristone within the first year of availability. Our data collection, analysis, and interpretation were guided by reflexive thematic analysis and supported by an integrated knowledge translation partnership with pharmacy stakeholders. RESULTS: We completed interviews with 24 participants from across Canada: 33% had stocked and 21% had dispensed mifepristone. We found that pharmacists were willing and able to integrate medical abortion care into their practice and that those who had initiated practice were satisfied with their dispensing experience. Our analysis indicated that several key Diffusion of Innovation constructs impacted the uptake of mifepristone, including: innovation (relative advantage, complexity and compatibility, technical support), system readiness (innovation-system fit, dedicated time, resources), diffusion and dissemination (expert opinion, boundary spanners, champions, social networks, peer opinions), implementation (external collaboration), and linkage. Participants' experiences suggest that integrated knowledge translation facilitated evidence-based changes to mifepristone dispensing restrictions, and communication of those changes to front line pharmacists. CONCLUSIONS: We illustrate how Diffusion of Innovation and integrated knowledge translation may work together as complimentary frameworks for implementation science research. Unlike in the USA, UK, and other highly regulated settings globally, pharmacists in Canada are permitted to dispense mifepristone for medical abortion. We contribute to literature that shows that mifepristone dispensed outside of hospitals, clinics, and medical offices is safe and acceptable to both patients and prescribers. This finding is of particular importance to the current COVID-19 pandemic response and calls for continued and equitable access to abortion care in primary practice.
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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 | 0.018 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".