First-trimester medical abortion practices in Canada: National survey.
Bibliographic record
Abstract
OBJECTIVE: To understand the current availability and practice of first-trimester medical abortion (MA) in Canada. DESIGN: Using public sources and professional networks, abortion facilities across Canada were identified for a cross-sectional survey on medical and surgical abortion. English and French surveys were distributed by surface or electronic mail between July and November 2013. SETTING: Canada. PARTICIPANTS: A total of 94 abortion facilities were identified. MAIN OUTCOME MEASURES: tests. RESULTS: A total of 78 of 94 (83.0%) facilities responded. Medical abortion represented 3.8% of first-trimester abortions reported (2706 of 70 860) in 2012. Among the facilities offering MA, 45.0% performed fewer than 500 first-trimester abortions a year, while 35.0% performed more than 1000. More MAs were performed in private offices or ambulatory health centres than in hospitals. Sixty-two physicians from 28 of 78 facilities reported providing first-trimester MA; 87.1% also provided surgical abortion. More than three-quarters of MA physicians were female and 56.5% were family physicians. A preponderance (85.2%) of providers offered methotrexate with misoprostol. Nearly all physicians (90.3%) required patients to have an ultrasound before MA, and 72.6% assessed the completion of the abortion with ultrasonography. Most physicians (74.2%) offered MA through 49 days after the onset of the last menstrual period, and 21.0% offered MA through 50 to 56 days; 37.1% reported providing MA to patients who lived more than 2 hours away. Four physicians from 1 site provided MA via telemedicine. CONCLUSION: In Canada, MA provision using methotrexate and misoprostol is consistent with best-practice guidelines, but MA is rare and its availability is unevenly distributed.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".