The Effectiveness of Regionalization of Perinatal Care and Specific Facility-Based Interventions: A Systematic Review
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».