Optimizing the Nursing Role in Abortion Care: Considerations for Health Equity
Bibliographic record
Abstract
Registered nurses (RNs) provide abortion care in hospitals and clinics and support abortion care through sexual health education and family planning care in sexual health clinics, schools and family practice. Nurse practitioners (NPs) improve access to abortion not only as prescribers of medication abortion but also as primary care providers of counselling, resources about pregnancy options and abortion follow-up care in their communities. There is a need to better understand the current status of and potential scope for optimizing nursing roles in abortion care across Canada. In this article, we describe the leadership of nurses in the provision of accessible, inclusive abortion services and discuss barriers to role optimization. We present key insights from a priority-setting meeting held in 2019 with NPs and RNs engaged in medication abortion practice in their communities. As scopes of practice continue to evolve, optimization of nursing roles in abortion care is an approach to enhancing equitable access to comprehensive abortion care and family planning.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".