Near-Term and Intrapartum Care of Mothers for Perinatal and Newborn Outcomes
Bibliographic record
Abstract
INTRODUCTION: Near-term and intrapartum care play pivotal roles in ensuring a safe childbirth experience and are essential components of a comprehensive approach to maternal and neonatal health. METHODS: The following interventions were identified: antibiotics for preterm premature rupture of membrane, antenatal corticosteroids for fetal lung maturation, partograph use during labor and delivery, induction of labor at or post-term, skilled birth care and safe childbirth checklist during labor and delivery. A scoping exercise was conducted to ascertain the most up-to-date evidence, and reviews of topics of interest were updated in case the evidence was not recent, with a focus on low- and middle-income countries (LMICs). RESULTS: Antibiotics reduced the overall risk of neonatal infection including pneumonia (RR 0.67 [0.52 to 0.85]). LMIC evidence showed a significant effect of antenatal steroids on the risk of neonatal mortality (RR 0.64 [0.43 to 0.97]) and respiratory distress syndrome (RR 0.65 [0.44 to 0.96]). Induction of labor practices at term or post-term reduced the risk of meconium aspiration syndrome (RR 0.51 [0.34 to 0.76]). The use of the WHO childbirth checklist significantly raised the standard of preeclampsia care (OR 8.09 [2.55 to 25.63]) as well as of maternal infection management (OR 25.44 [4.09 to 158.08]). LMIC-specific evidence also demonstrated a significant reduction in the risk of stillbirth (OR 0.92 [0.87 to 0.96]). CONCLUSION: Further research initiatives pertaining to health interventions delivered to expectant mothers near-term or during the intrapartum period can contribute to a more inclusive understanding of health challenges in LMICs. INTRODUCTION: Near-term and intrapartum care play pivotal roles in ensuring a safe childbirth experience and are essential components of a comprehensive approach to maternal and neonatal health. METHODS: The following interventions were identified: antibiotics for preterm premature rupture of membrane, antenatal corticosteroids for fetal lung maturation, partograph use during labor and delivery, induction of labor at or post-term, skilled birth care and safe childbirth checklist during labor and delivery. A scoping exercise was conducted to ascertain the most up-to-date evidence, and reviews of topics of interest were updated in case the evidence was not recent, with a focus on low- and middle-income countries (LMICs). RESULTS: Antibiotics reduced the overall risk of neonatal infection including pneumonia (RR 0.67 [0.52 to 0.85]). LMIC evidence showed a significant effect of antenatal steroids on the risk of neonatal mortality (RR 0.64 [0.43 to 0.97]) and respiratory distress syndrome (RR 0.65 [0.44 to 0.96]). Induction of labor practices at term or post-term reduced the risk of meconium aspiration syndrome (RR 0.51 [0.34 to 0.76]). The use of the WHO childbirth checklist significantly raised the standard of preeclampsia care (OR 8.09 [2.55 to 25.63]) as well as of maternal infection management (OR 25.44 [4.09 to 158.08]). LMIC-specific evidence also demonstrated a significant reduction in the risk of stillbirth (OR 0.92 [0.87 to 0.96]). CONCLUSION: Further research initiatives pertaining to health interventions delivered to expectant mothers near-term or during the intrapartum period can contribute to a more inclusive understanding of health challenges in LMICs.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".