The Effectiveness of Regionalization of Perinatal Care and Specific Facility-Based Interventions: A Systematic Review
Bibliographic record
Abstract
INTRODUCTION: Appropriate perinatal care provision and utilization is crucial to improve maternal and newborn survival and potentially meet Sustainable Development Goal 3. Ensuring availability of healthcare infrastructure as well as skilled personnel can potentially help improve maternal and neonatal outcomes globally as well as in resource-limited settings. METHODS: A systematic review on effectiveness of perinatal care regionalization was updated, and a new review on facility-based interventions to improve postnatal care coverage and outcomes was conducted. The interventions were identified through literature reviews and included transport, mHealth, telemedicine, maternal education, capacity building, and incentive packages. Search was conducted in relevant databases and meta-analysis conducted on Review Manager 5.4. We conducted subgroup analysis for evidence from low- and middle-income countries (LMICs). RESULTS: Implementation of regionalization programs significantly decreased maternal mortality in LMICs (OR: 0.43; 95% CI: 0.34-0.55, 2 studies), stillbirth overall (OR: 0.70; 95% CI: 0.54-0.89, 5 studies), perinatal mortality overall (OR: 0.54; 95% CI: 0.5-0.58, 2 studies), and LMICs (OR: 0.54; 95% CI: 0.50-0.58, 1 study). Transport-related interventions significantly decreased maternal mortality overall (OR: 0.55; 95% CI: 0.40-0.74, 1 study), neonatal mortality (RR: 0.76; 95% CI: 0.66-0.88, 1 study), perinatal mortality (RR: 0.86; 95% CI: 0.77-0.95, 1 study), and improved postnatal care coverage (OR: 6.89; 95% CI: 5.15-9.21, 1 study) in LMICs. Adding maternity homes/units significantly decreased stillbirth (OR: 0.75; 95% CI: 0.61-0.93, 1 study) in LMICs. Incentives for postnatal care significantly improved infant mortality (RR: 0.79; 95% CI: 0.65-0.96, 1 study), stillbirth (OR: 0.60; 95% CI: 0.44-0.83, 1 study), and postnatal care coverage (RR: 1.13; 95% CI: 1.03-1.25, 1 study) in LMICs. Telemedicine improved postnatal care coverage significantly in LMICs (RR: 2.54; 95% CI: 1.22-5.28, 3 studies) and decreased maternal mortality (OR: 0.46; 95% CI: 0.21-0.98, 1 study) and infant mortality (OR: 0.65; 95% CI: 0.45-0.95) in LMICs. Maternal education significantly decreased neonatal mortality (RR: 0.75; 95% CI: 0.66-0.84, 2 studies), perinatal mortality (RR: 0.86; 95% CI: 0.77-0.95, 1 study), infant mortality (RR: 0.79; 95% CI: 0.65-0.96, 1 study), and stillbirth (RR: 0.61; 95% CI: 0.45-0.82, 1 study). Capacity-building interventions significantly decreased maternal mortality in LMICs (OR: 0.37; 95% CI: 0.29-0.46, 5 studies), neonatal mortality overall (OR: 0.72; 95% CI: 0.53-0.98, 4 studies) and in LMICs (OR: 0.63; 95% CI: 0.54-0.74, 3 studies, and RR: 0.61; 95% CI: 0.48-0.79, 3 studies), perinatal mortality (OR: 0.53; 95% CI: 0.45-0.62, 2 studies, and RR: 0.86; 95% CI: 0.77-0.95, 1 study), infant mortality (OR: 0.50; 95% CI: 0.43-0.59, 1 study, and RR: 0.79; 95% CI: 0.65-0.96, 1 study), under-5 mortality (RR: 0.79; 95% CI: 0.66-0.94, 1 study), and stillbirth in LMICs (OR: 0.71; 95% CI: 0.62-0.82, 4 studies), and preterm birth overall (OR: 0.39; 95% CI: 0.19-0.81, 1 study). CONCLUSION: Perinatal regionalization and facility-based interventions have a positive impact on maternal and neonatal outcomes and calls for implementation in high burden settings but a better understanding of optimal interventions is needed through comprehensive trials in diverse settings. INTRODUCTION: Appropriate perinatal care provision and utilization is crucial to improve maternal and newborn survival and potentially meet Sustainable Development Goal 3. Ensuring availability of healthcare infrastructure as well as skilled personnel can potentially help improve maternal and neonatal outcomes globally as well as in resource-limited settings. METHODS: A systematic review on effectiveness of perinatal care regionalization was updated, and a new review on facility-based interventions to improve postnatal care coverage and outcomes was conducted. The interventions were identified through literature reviews and included transport, mHealth, telemedicine, maternal education, capacity building, and incentive packages. Search was conducted in relevant databases and meta-analysis conducted on Review Manager 5.4. We conducted subgroup analysis for evidence from low- and middle-income countries (LMICs). RESULTS: Implementation of regionalization programs significantly decreased maternal mortality in LMICs (OR: 0.43; 95% CI: 0.34-0.55, 2 studies), stillbirth overall (OR: 0.70; 95% CI: 0.54-0.89, 5 studies), perinatal mortality overall (OR: 0.54; 95% CI: 0.5-0.58, 2 studies), and LMICs (OR: 0.54; 95% CI: 0.50-0.58, 1 study). Transport-related interventions significantly decreased maternal mortality overall (OR: 0.55; 95% CI: 0.40-0.74, 1 study), neonatal mortality (RR: 0.76; 95% CI: 0.66-0.88, 1 study), perinatal mortality (RR: 0.86; 95% CI: 0.77-0.95, 1 study), and improved postnatal care coverage (OR: 6.89; 95% CI: 5.15-9.21, 1 study) in LMICs. Adding maternity homes/units significantly decreased stillbirth (OR: 0.75; 95% CI: 0.61-0.93, 1 study) in LMICs. Incentives for postnatal care significantly improved infant mortality (RR: 0.79; 95% CI: 0.65-0.96, 1 study), stillbirth (OR: 0.60; 95% CI: 0.44-0.83, 1 study), and postnatal care coverage (RR: 1.13; 95% CI: 1.03-1.25, 1 study) in LMICs. Telemedicine improved postnatal care coverage significantly in LMICs (RR: 2.54; 95% CI: 1.22-5.28, 3 studies) and decreased maternal mortality (OR: 0.46; 95% CI: 0.21-0.98, 1 study) and infant mortality (OR: 0.65; 95% CI: 0.45-0.95) in LMICs. Maternal education significantly decreased neonatal mortality (RR: 0.75; 95% CI: 0.66-0.84, 2 studies), perinatal mortality (RR: 0.86; 95% CI: 0.77-0.95, 1 study), infant mortality (RR: 0.79; 95% CI: 0.65-0.96, 1 study), and stillbirth (RR: 0.61; 95% CI: 0.45-0.82, 1 study). Capacity-building interventions significantly decreased maternal mortality in LMICs (OR: 0.37; 95% CI: 0.29-0.46, 5 studies), neonatal mortality overall (OR: 0.72; 95% CI: 0.53-0.98, 4 studies) and in LMICs (OR: 0.63; 95% CI: 0.54-0.74, 3 studies, and RR: 0.61; 95% CI: 0.48-0.79, 3 studies), perinatal mortality (OR: 0.53; 95% CI: 0.45-0.62, 2 studies, and RR: 0.86; 95% CI: 0.77-0.95, 1 study), infant mortality (OR: 0.50; 95% CI: 0.43-0.59, 1 study, and RR: 0.79; 95% CI: 0.65-0.96, 1 study), under-5 mortality (RR: 0.79; 95% CI: 0.66-0.94, 1 study), and stillbirth in LMICs (OR: 0.71; 95% CI: 0.62-0.82, 4 studies), and preterm birth overall (OR: 0.39; 95% CI: 0.19-0.81, 1 study). CONCLUSION: Perinatal regionalization and facility-based interventions have a positive impact on maternal and neonatal outcomes and calls for implementation in high burden settings but a better understanding of optimal interventions is needed through comprehensive trials in diverse settings.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".