Maternal, Care Provider, and Institutional-Level Risk Factors for Early Term Elective Repeat Cesarean Delivery: A Population-Based Cohort Study
Bibliographic record
Abstract
To identify maternal, care provider, and institutional-level risk factors for early term (37-38 weeks) elective repeat cesarean delivery in a population-based cohort. Retrospective cohort study of women in the British Columbia (BC) Perinatal Data Registry, BC, Canada, 2008-2011, with an elective repeat cesarean delivery at term. Absolute percent differences (risk differences) in early term delivery rates were calculated according to maternal characteristics, type of care provider, calendar time (day of the week, time of year), and annual institutional obstetrical volume. Of the 7,687 elective repeat cesareans at term in BC, 55 % occurred before 39 + 0 weeks. Early term delivery was significantly more common with multiple previous cesareans [8.2 percentage points (95 % CI 5.5, 10.9) for 2 previous cesareans, 11.3 (95 % CI 5.1, 17.4) for 3 or more previous cesareans], obesity [6.7 percentage points (95 % CI 1.6, 11.7)], and a hospital obstetrical volume <2,500 deliveries per year. Type of care provider and calendar time were not significant risk factors for early term delivery. Early term elective repeat cesarean was common across a wide range of maternal, care provider, and institutional characteristics, suggesting that most obstetrical care settings would benefit from quality-improvement programs to reduce elective repeat cesarean deliveries before 39 weeks. A better understanding of the risks and benefits of early term delivery among obese women and women with multiple previous cesareans is needed given the higher rates of early term delivery observed in these women.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".