Analysis of Early Pregnancy Loss Care Provision by Ontario Midwives - A Comprehensive Report
Bibliographic record
Abstract
This comprehensive report was created to advocate for the midwifery profession within the broader healthcare landscape, showcasing the complexity of challenges faced by midwives in treating early pregnancy loss (EPL) clients. By delving deeply into the multifaceted factors contributing to the underrepresentation of midwives in the reproductive health domain, the report aims to bridge these gaps and champion enhanced midwife representation at the governmental level, thereby enhancing support for both midwives and their patients.\nThe report highlights midwives' essential role in providing extensive support, including antenatal and postnatal care, based on the three principles of continuity of care, informed choice, and choice of birthplace. It calls for a review and potential expansion of the midwifery practice scope to encompass comprehensive care for EPL due to current legislative and regulatory constraints. The document examines Ontario's inclusive midwifery services under OHIP, noting a gap in providing seamless care for people experiencing EPL and advocating for better integration with specialized EPL care.\nForest City Midwifery C.A.R.E.'s challenges, including financial and logistical constraints within the existing framework and efforts to extend services, highlight systemic barriers to holistic EPL support. Midwives' testimonies and the analysis of the Billable Course of Care (BCC) model illustrate a disconnect between their training and the support structure, leading to professional frustration and burnout. The report concludes by advocating for expanded midwifery practice scopes, including comprehensive EPL care, and suggests policy changes to improve maternal healthcare in Ontario.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".