The safety of Canadian rural maternity services: a multi-jurisdictional cohort analysis
Bibliographic record
Abstract
BACKGROUND: Small Canadian rural maternity services are struggling to maintain core staffing and remain open. Existing evidence states that having to travel to access maternity services is associated with adverse outcomes. The goal of this study is to systematically examine rural maternal and newborn outcomes across three Canadian provinces. METHODS: We analyzed maternal newborn outcomes data through provincial perinatal registries in British Columbia, Alberta and Nova Scotia for deliveries that occurred between April 1st 2003 and March 31st 2008. All births were allocated to maternity service catchments based on the residence of the mothers. Individual catchments were stratified to service levels based on distance to access intrapartum maternity services or the model of maternity services available in the community. The amalgamation of analyses from each jurisdiction involved comparison of logistic regression effect estimates. RESULTS: The number of singleton births included in the study is 150,797. Perinatal mortality is highest in communities that are greater than 4 h from maternity services overall. Rates of prematurity at less than 37 weeks gestation are higher for rural women without local access to services. Caesarean section rates are highest in communities served by general surgical models. CONCLUSION: Composite analysis of data from three Canadian provinces provides the strongest evidence to date demonstrating that we need to sustain small community maternity services with and without caesarean section capability.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".