Leadership for success in transforming medical abortion policy in Canada
Bibliographic record
Abstract
OBJECTIVES: Mifepristone was approved for use in medical abortion by Health Canada in 2015. Approval was accompanied by regulations that prohibited pharmacist dispensing of the medication. Reproductive health advocates in Canada recognized this regulation would limit access to medical abortion and successfully worked to have this regulation removed in 2017. The purpose of this study was to assess the leadership involved in changing these regulations so that the success may be replicated by other groups advocating for health policy change. METHODS: This study involved a mixed methods instrumental design in the context of British Columbia, Canada. Our data collection included: a) interviews with seven key individuals, representing the organizations that worked in concert for change to Canadian mifepristone regulations, and b) document analysis of press articles, correspondence, briefing notes, and meeting minutes. We conducted a thematic analysis of transcripts of audio-recorded interviews. We identified strengths and weaknesses of the team dynamic using the Develop Coalitions, Achieve Results and Systems Transformation domains of the LEADS Framework. RESULTS: Our analysis of participant interviews indicates that autonomy, shared values, and clarity in communication were integral to the success of the group's work. Analysis using the LEADS Framework showed that individuals possessed many of the capabilities identified as being necessary for successful health policy leadership. A lack of post-project assessment was identified as a possible limitation and could be incorporated in future work to strengthen dynamics especially when a desired outcome is not achieved. Document analysis provided a clear time-line of the work completed and suggested that strong communication between team members was another key to success. CONCLUSIONS: The results of our analysis of the interviews and documents provide valuable insight into the workings of a successful group committed to a common goal. The existing collegial and trusting relationships between key stakeholders allowed for interdisciplinary collaboration, rapid mobilization, and identification of issues that facilitated successful Canadian global-first deregulation of mifepristone dispensing.
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 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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.035 | 0.009 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".