Postpartum Hemorrhage Management in Canadian Emergency Nursing Practice
Bibliographic record
Abstract
Background: Postpartum hemorrhage (PPH) remains a leading cause of maternal mortality globally, claiming approximately 70,000 lives annually. Despite preventive efforts, high-income countries, including Canada, have reported increasing rates of PPH. The rising incidence and associated complications indicate improved emergency nursing practices in managing PPH are needed. Methods: PPH guidelines from the Society of Obstetricians and Gynecologists of Canada, Federation of International Gynecologists and Obstetricians, and the Canadian Association of Perinatal, and Women’s Health Nurses were compared to National Emergency Nurses Association guidelines. The competencies, medications, and obstetric maneuvers for PPH that may be relevant to emergency nurses were extracted and categorized for the emergency nursing HIRAID (History & Red flags, Assessment, Interventions, & Diagnosis) framework. Findings/Results: We found 13 discrete skills across the PPH guideline recommendations that are applicable to emergency nurses. There is near perfect overlap in medical recommendations, but gaps exist between FIGO and SOGC guidelines and NENA and CAPWHN guidelines. There are SOGC and FIGO guidelines that apply to emergency nurses that are not addressed in NENA guidelines, Discussion: There was significant overlap on treatment recommendations from maternal health bodies such as uterotonic drugs, hemorrhage control, and hemostatic resuscitation. There were significant gaps in NENA recommendations. Conclusion: The comparison of PPH guidelines highlights where NENA guidelines need further detail. These skills are particularly significant for providing nursing care in rural and remote areas. Standardized protocols for PPH management, interprofessional collaboration, and regular competency assessments are included in most guidelines but are conspicuously absent for emergency nurses. To address the gap, NENA could integrate national emergency nursing PPH competencies standards or develop recommendations for the care of maternal emergencies.
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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 | 0.004 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".