Evidence map›Paper›PMID 38887662›Full record

ArticleFrontiers in global women's health2024

Optimization of the emergency obstetric and neonatal care network in Benin through expert-based sub-national prioritizations.

Zeynabou Sy, Yaniss Guigoz, Michel Brun, Thierry Tossou Boco, Venance Vodungbo, Thierry Lawalé, Theodore Soude, Yawo Agbigbi, Nicolas Ray

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Article in Frontiers in global women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zeynabou Sy *GeoHealth Group, Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Yaniss Guigoz *GeoHealth Group, Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Michel BrunTechnical Division, United Nations Population Fund (UNFPA), New York, NY, United States.
Thierry Tossou BocoProgramme de la Santé Familiale, OMS-Benin, Cotonou, Benin.
Venance VodungboDirection de la Programmation et de la Prospective, Ministère de la Santé, Cotonou, Benin.
Thierry LawaléAgence Nationale des Soins de Santé Primaires, Cotonou, Benin.
Theodore SoudeUnited Nations Population Fund (UNFPA), Cotonou, Benin.
Yawo AgbigbiUnited Nations Population Fund (UNFPA), Lomé, Togo.
Nicolas RayGeoHealth Group, Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To reduce maternal mortality by 2030, Benin needs to implement strategies for improving access to high quality emergency obstetric and neonatal care (EmONC). This study applies an expert-based approach using sub-national travel specificities to identify and prioritize a network of EmONC maternities that maximizes both population coverage and functionality. Methods: We conducted a series of workshops involving international, national, and department experts in maternal health to prioritize a set of EmONC facilities that meet international standards. Geographical accessibility modeling was used together with EmONC availability to inform the process. For women in need of EmONC, experts provided insights into travel characteristics (i.e., modes and speeds of travel) specific to each department, enabling more realistic travel times estimates modelled with the AccessMod software. Results: The prioritization approach resulted in the selection of 109 EmONC maternities from an initial group of 125 designated maternities. The national coverage of the population living within an hour's drive of the nearest EmONC maternity increased slightly from 92.6% to 94.1% after prioritization. This increase in coverage was achieved by selecting maternities with sufficient obstetrical activities to be upgraded to EmONC maternities in the Plateau and Atlantique departments. Conclusion: The prioritization approach enabled Benin to achieve the minimum EmONC availability, while ensuring very good geographical accessibility to the prioritized network. Limited human and financial resources can now be targetted towards a smaller number of EmONC facilities to make them fully functioning in the medium-term. By implementing this strategy, Benin aims to reduce maternal mortality rates and deliver effective, high-quality obstetric and neonatal care, especially during emergencies.

Indexed as

AccessModAfricaEMOCgeographical accessibilitymaternal healthuniversal health coverage

Identifiers

PMID38887662
PMCPMC11180813

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.