Abortion services and providers in Canada in 2019: results of a national survey
Bibliographic record
Abstract
Background: Since 2016, abortion care has undergone several important changes, particularly related to the provision of medical abortion using mifepristone. We aimed to document characteristics of the abortion care workforce in Canada after the update of clinical practice guidelines of mifepristone use for medical abortion. Methods: We conducted a national, web-based, anonymized, bilingual (English/French) survey. We collected demographics and clinical care characteristics of physicians and nurse practitioners who provided abortion care in 2019. Between July and December 2020, we distributed the survey through professional organizations, including The College of Family Physicians of Canada and The Society of Obstetricians and Gynaecologists of Canada. We present descriptive statistics. Results: Overall, 465 respondents representing all 10 provinces and 3 territories in Canada completed the survey. Of these, 388 (83.4%), including 30 nurse practitioners, provided first-trimester medical abortion, of which 350 (99.4%) used mifepristone. Two hundred and nineteen (47.1%) respondents provided first-trimester surgical abortion, 109 (23.4%) provided second-trimester surgical abortion and 115 (24.7%) provided second- or third-trimester medical abortion. Half of respondents reported fewer than 5 years of experience with any abortion care. Respondents reported providing a total of 48 509 abortions in 2019, including 32 345 (66.7%) first-trimester surgical abortions and 13 429 (27.7%) first-trimester medical abortions. In Quebec, only 1918 (12.5%) of reported abortions were first-trimester medical abortions. Primary care providers provided 34 540 (71.2%) of the total abortions. First-trimester medical abortions represented 44.4% (n = 2334) of all abortions in rural areas, as opposed to 25.6% (n = 11 067) in urban areas. Interpretation: The increased availability of medical abortion facilitates abortion access, especially in primary care and rural settings, and where surgical abortion is not available. Rejuvenation of the workforce is a critical contributor to equitable access to abortion services.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".