Dispensing and practice use patterns, facilitators and barriers for uptake of ulipristal acetate emergency contraception in British Columbia: a mixed-methods study
Bibliographic record
Abstract
BACKGROUND: Ulipristal acetate 30 mg became available as prescription-only emergency contraception in British Columbia, Canada, in September 2015, as an addition to over-the-counter levonorgestrel emergency contraception. In this study, we determined dispensing and practice use patterns for ulipristal acetate, as well as facilitators of and barriers to emergency contraception for physicians, pharmacists and patients in BC. METHODS: In the quantitative component of this mixed-methods study, we examined ulipristal acetate use from September 2015 to December 2018 using a database that captures all outpatient prescription dispensations in BC (PharmaNet) and another capturing market sales numbers for all oral emergency contraception in BC (IQVIA). We analyzed the quantitative data descriptively. We conducted semistructured interviews from August to November 2019, exploring barriers and facilitators affecting the use of ulipristal acetate. We performed iterative qualitative data collection and thematic analysis guided by Michie's Theoretical Domains Framework. RESULTS: Over the 3-year study period, 318 patients filled 368 prescriptions for ulipristal acetate. Use of this agent increased between 2015 and 2018. However, levonorgestrel use by sales (range 118 897-129 478 units/yr) was substantially higher than use of ulipristal acetate (range 128-389 units/yr). In the 39 interviews we conducted, from the perspectives of 12 patients, 12 community pharmacists, and 15 prescribers, we identified the following themes and respective theoretical domains as barriers to access: low awareness of ulipristal acetate (knowledge), beliefs and experiences related to shame and stigma (beliefs about consequences), and multiple health system barriers (reinforcement). INTERPRETATION: Use of ulipristal acetate in BC was low compared with use of levonorgestrel emergency contraception; lack of knowledge, beliefs about consequences and health system barriers may be important impediments to expanding use of ulipristal acetate. These findings illuminate potential factors to explain low use of this agent and point to the need for additional strategies to support implementation.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".