Cesarean delivery surveillance system at a maternity hospital in Kabul, Afghanistan
Bibliographic record
Abstract
OBJECTIVE: To use an active facility-based maternal and newborn surveillance system to describe cesarean delivery practices and outcomes in a resource-poor setting. METHODS: Using data from operating room logbooks, 392 cesarean deliveries were evaluated between April 1 and June 30 2006 at a large public maternity hospital in Kabul, Afghanistan. RESULTS: The perinatal mortality rate was 89 per 1000 births: 57% antepartum and 37% intrapartum stillbirths. Fetuses with normal birth weight comprised 85% of intrapartum stillbirths. Obstructed labor, uterine rupture, and malpresentation accounted for more than 50% of perinatal deaths. The cesarean delivery rate was 10.2% and there were 2 maternal deaths. CONCLUSION: The high percentage of intrapartum stillbirths among normal birth weight fetuses suggests a need for improved labor monitoring and surgical obstetric practices. The use of a facility-based perinatal surveillance system is critical in guiding such quality assurance initiatives.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".