Factors contributing to neonatal mortality reduction in three regions in Ghana: a mixed-methods study using the Lives Saved (LiST) modelling tool
Notice bibliographique
Résumé
Background Ghana had significant reductions in neonatal mortality during the Millennium Development Goal (MDG) era. Few studies have attempted to identify the interventions, programs and policies that contributed to this progress. To understand the underlying factors which contributed to the reduction in neonatal mortality and to inform strategies to reach the Sustainable Development Goal (SDG) target to end preventable neonatal deaths, we conducted a mixed-methods study in the Northern, Upper West, and Volta Regions of Ghana. Methods The quantitative component consisted of an analysis of trends in coverage of key neonatal health interventions using subnational data from the Ghana Demographic and Health Surveys (DHS) and the Multiple Indicator Cluster Surveys (MICS). The Lives Saved Tool (LiST) was used to assess the contribution of various neonatal health interventions which resulted in reductions in neonatal mortality. Qualitative in-depth interviews (N=38) were conducted with government health officials, health workers, staff from non-government organizations, and community leaders, including traditional birth attendants and local chiefs from the Northern Region of Ghana. Findings Multiple interventions and contextual factors contributed to declines in the neonatal mortality rate (NMR) in all three regions. The Volta and Upper West Regions improved labor and delivery management practices which accounted for approximately one-third of the decline in NMR. The Northern Region had a substantial decline in NMR; the greatest proportion of the decline was attributed to control and management of infections in newborns (sepsis and pneumonia). Qualitative interviews suggest that improvements in neonatal survival were achieved through the prioritization of neonatal health at community-based health planning (CHPS) compounds and the development of a national-level strategic plan, coupled with neonatal health-related training for health workers. The establishment of neonatal intensive care units and strong partnership with local leaders and women’s groups to increase facility births and promote clean birth practices were also considered important. Conclusions The strategies that supported the reductions span from national-level policy intervention to facility-based quality improvement, to community level engagement. These strategies can be continued, strengthened, and scaled to improve neonatal survival in the SDG era.
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 | 0,007 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 |
| 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 ».