Maternal morbidity and perinatal outcomes among women in rural versus urban areas
Bibliographic record
Abstract
BACKGROUND: Most studies examining geographic barriers to maternity care in industrialized countries have focused solely on fetal and neonatal outcomes. We examined the association between rural residence and severe maternal morbidity, in addition to perinatal mortality and morbidity. METHODS: We conducted a retrospective population-based cohort study of all women who gave birth in British Columbia, Canada, between Jan. 1, 2005, and Dec. 31, 2010. We compared maternal mortality and severe morbidity (e.g., eclampsia) and adverse perinatal outcomes (e.g., perinatal death) between women residing in areas with moderate to no metropolitan influence (rural) and those living in metropolitan areas or areas with a strong metropolitan influence (urban). We used logistic regression analysis to obtain adjusted odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: We found a significant association between death or severe maternal morbidity and rural residence (adjusted OR 1.15, 95% CI 1.03-1.28). In particular, women in rural areas had significantly higher rates of eclampsia (adjusted OR 2.70, 95% CI 1.79-4.08), obstetric embolism (adjusted OR 2.16, 95% CI 1.14-4.07) and uterine rupture or dehiscence (adjusted OR 1.96, 95% CI 1.42-2.72) than women in urban areas. Perinatal mortality did not differ significantly between the study groups. Infants in rural areas were more likely than those in urban areas to have a severe neonatal morbidity (adjusted OR 1.14, 95% CI 1.02-1.29), to be born preterm (adjusted OR 1.06, 95% CI 1.01-1.11), to have an Apgar score of less than 7 at 5 minutes (adjusted OR 1.24, 95% CI 1.13-1.31) and to be large for gestational age (adjusted OR 1.14, 95% CI 1.10-1.19). They were less likely to be small for gestational age (adjusted OR 0.90, 95% CI 0.85-0.95) and to be admitted to an neonatal intensive care unit (NICU) (adjusted OR 0.36, 95% CI 0.33-0.38) compared with infants in urban areas. INTERPRETATION: Compared with women in urban areas, those in rural areas had higher rates of severe maternal morbidity and severe neonatal morbidity, and a lower rate of NICU admission. Maternity care providers in rural regions need to be aware of potentially life-threatening maternal and perinatal complications requiring advanced obstetric and neonatal care.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".