Experience of stigma and harassment among respondents to the 2019 Canadian abortion provider survey
Bibliographic record
Abstract
OBJECTIVE: We conducted a national survey to assess the experiences of stigma and harassment among physicians and nurse practitioners providing abortions and abortion service administrators in Canada. STUDY DESIGN: We conducted an exploratory, cross-sectional, national, anonymized, online survey between July and December 2020. Subsections of the survey explored stigma and harassment experienced by respondents, including the 35-item Revised Abortion Providers Stigma Scale and open-ended responses. We analyzed the quantitative data to generate descriptive statistics and employed a reflexive thematic analysis to interpret open-ended responses. RESULTS: Three hundred fifty-four participants started the stigma and harassment section of the survey. Among low-volume clinicians (<30 abortions/year, 60%, n = 180) 8% reported harassment; 21% among higher volume clinicians (≥30 abortions/year, 40%, n = 119) and 47% among administrators (n = 39), most commonly picketing. The mean stigma score was 67.8 (standard deviation 17.2; maximum score 175). Our qualitative analysis identified five themes characterizing perceptions of stigma and harassment: concerns related to harassment from picketing, protestors, and the public; wanting protestor "bubble zones"; aiming to be anonymous to avoid being a target; not providing an abortion service; but also witnessing a safe and positive practice environment. CONCLUSIONS: Being a low-volume clinician compared to higher volume clinician and administrator appears to be associated with less harassment. Clinicians providing abortion care in Canada reported mid-range abortion-related stigma scores, and expressed strong concerns that stigma interfered with their abortion provision. Our results indicate that further de-stigmatization and protection of abortion providers in Canada is needed through policy and practice interventions including bubble zones. IMPLICATIONS: While Canadian abortion care clinicians and administrators reported relatively low incidence of harassment, our results indicate that they are concerned about stigma and harassment. However, as this was an exploratory survey, these data may not be representative of all Canadian abortion providers. Our data identify a need to support abortion clinicians and to bolster protections for dedicated 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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| 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".