Maternal and neonatal outcomes after implementation of a hospital policy to limit low‐risk planned caesarean deliveries before 39 weeks of gestation: an interrupted time‐series analysis
Bibliographic record
Abstract
OBJECTIVE: To evaluate the extent to which implementing a hospital policy to limit planned caesarean deliveries before 39 weeks of gestation improved neonatal health, maternal health, and healthcare costs. DESIGN: Retrospective cohort study. SETTING: British Columbia Women's Hospital, Vancouver, Canada, in the period 2005-2012. POPULATION: Women with a low-risk planned repeat caesarean delivery. METHODS: An interrupted time series design was used to evaluate the policy to limit planned caesarean deliveries before 39 weeks of gestation, introduced on 1 April 2008. MAIN OUTCOME MEASURES: Composite adverse neonatal health outcome (respiratory morbidity, 5-minute Apgar score of <7, neonatal intensive care unit admission, mortality), postpartum haemorrhage, obstetrical wound infection, out-of-hour deliveries, length of stay, and healthcare costs. RESULTS: Between 2005 and 2008, 60% (1204/2021) of low-risk planned caesarean deliveries were performed before 39 weeks of gestation. After the introduction of the policy, the proportion of planned caesareans dropped by 20 percentage points (adjusted risk difference of 20 fewer cases per 100 deliveries; 95% CI -25.8, -14.3) to 41% (1033/2518). The policy had no detectable impact on adverse neonatal outcomes (2.2 excess cases per 100; 95% CI -0.4, 4.8), maternal complications, or healthcare costs, but increased the risk of out-of-hours delivery from 16.2 to 21.1% (adjusted risk difference 6.3 per 100; 95% CI 1.6, 10.9). CONCLUSIONS: We found little evidence that a hospital policy to limit planned caesareans before 39 weeks of gestation reduced adverse neonatal outcomes. Hospital administrators intending to introduce such policies should anticipate, and plan for, modest increases in out-of-hours and emergency-timing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".