No difference in perinatal mortality between home and facility delivery in rural Tanzania: a prospective community-based study
Bibliographic record
Abstract
Background Facility-based delivery with skilled birth attendants in an enabling environment is recommended for life-saving and for improving maternal and newborn health outcomes. Inconsistent results exist regarding the protective effects of facility delivery on maternal and perinatal mortality in developing countries. The primary objective of this study was to investigate the association between place of delivery and maternal and perinatal mortality. A secondary objective was to examine the association between place of delivery and maternal complications during pregnancy, labor and delivery, and 48 hours postpartum. # Methods This community-based prospective study recruited a cohort of 1719 women in their third trimester of pregnancy through a door-to-door survey in randomly selected wards in rural Geita Northwest Tanzania between September 2016 and December 2017. A total of 1385 eligible mother-infant pairs were followed to seven days post-delivery. Results Half of the women delivered at a health facility (52.23%). A limited number of maternal deaths (n=7) were observed; 3 of these occurred at health facilities. No association was found between place of delivery and perinatal mortality (adjusted odds ratio, aOR=1.60, 95% confidence interval, CI=0.65-3.80). The prevalence of maternal complications during pregnancy, labor and delivery, and 48 hours postpartum were 6.14%, 8.74%, and 12.56%, respectively. A higher proportion of women who delivered at health facilities reported complications during labor and delivery (13.26% vs 3.78%) and 48 hours postnatally (14.78% vs 10.14%) than women who delivered at home. Conclusions Health facility delivery was not associated with reduced perinatal mortality. A higher proportion of women who delivered at health facilities reported complications during labour and delivery. Controlling for maternal complications attenuated the association between place of delivery and perinatal mortality. Many health facilities in rural Geita Tanzania remain ill-equipped to deal with unpredictable complications during childbirth. Improving staff training, access to essential drugs and equipment, and quality care could reduce perinatal mortality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".