Distance from Home Birth to Emergency Obstetric Services and Neonatal Outcomes: A Cohort Study
Bibliographic record
Abstract
INTRODUCTION: Little is known about the relationship between distance from hospital services and the outcomes of planned home births. We examined whether greater driving distance from a hospital with continuous cesarean capability was associated with a higher risk of adverse neonatal outcome among individuals who were planning to give birth at home. METHODS: Using an intention-to-treat analysis, we conducted a population-based cohort study of 11,869 individuals who planned to give birth at home in Ontario, Canada, between April 1, 2012, and March 31, 2015. We used postal codes to determine the driving time from maternal residence to the closest hospital offering level 2 or higher maternity care services (ie, hospital with continuous cesarean birth capability). We used log binomial regression analysis to compare the outcomes of individuals who planned a birth more than a 30-minute drive from a level 2 hospital with those of individuals whose births were planned to occur within 30 minutes. We adjusted for maternal age, parity, gestational age, season, and maternal material deprivation quintile. RESULTS: We found no statistically significant difference in the rates of 5-minute Apgar scores less than 7 (adjusted relative risk [aRR], 1.02; 95% CI, 0.95-1.10; P = .58), perinatal mortality, meconium aspiration syndrome, and emergency medical service usage. Neonates born to individuals who planned to give birth at a greater distance from a hospital had a lower rate of neonatal intensive care unit admission (aRR, 0.6; 95% CI, 0.44-0.81; P = .001). DISCUSSION: We found no increased risk of adverse neonatal outcomes for births that were planned to occur more than 30 minutes from a hospital. Our findings can be considered, along with individual risk factors and contextual factors, in decision making about the choice of home birth for individuals who live more than half an hour from a hospital with cesarean capacity.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".