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
Author Information
  1. Zeynabou Sy: GeoHealth Group, Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
  2. Yaniss Guigoz: GeoHealth Group, Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
  3. Michel Brun: Technical Division, United Nations Population Fund (UNFPA), New York, NY, United States.
  4. Thierry Tossou Boco: Programme de la Santé Familiale, OMS-Benin, Cotonou, Benin.
  5. Venance Vodungbo: Direction de la Programmation et de la Prospective, Ministère de la Santé, Cotonou, Benin.
  6. Thierry Lawalé: Agence Nationale des Soins de Santé Primaires, Cotonou, Benin.
  7. Theodore Soude: United Nations Population Fund (UNFPA), Cotonou, Benin.
  8. Yawo Agbigbi: United Nations Population Fund (UNFPA), Lomé, Togo.
  9. Nicolas Ray: GeoHealth Group, Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

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.

Keywords

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Word Cloud

Created with Highcharts 10.0.0EmONCmaternitiesmaternalBenintravelcoverageobstetricneonatalcareapproachnetworkhealthaccessibilityprioritizationreducemortalityemergencyexpert-basedsub-nationalprioritizepopulationinternationalnationaldepartmentexpertsfacilitiesavailabilityAccessModgeographicalIntroduction:2030needsimplementstrategiesimprovingaccesshighqualitystudyappliesusingspecificitiesidentifymaximizesfunctionalityMethods:conductedseriesworkshopsinvolvingsetmeetstandardsGeographicalmodelingusedtogetherinformprocesswomenneedprovidedinsightscharacteristicsiemodesspeedsspecificenablingrealistictimesestimatesmodelledsoftwareResults:resultedselection109initialgroup125designatedlivingwithinhour'sdrivenearestmaternityincreasedslightly926%941%increaseachievedselectingsufficientobstetricalactivitiesupgradedPlateauAtlantiquedepartmentsConclusion:enabledachieveminimumensuringgoodprioritizedLimitedhumanfinancialresourcescannowtargettedtowardssmallernumbermakefullyfunctioningmedium-termimplementingstrategyaimsratesdelivereffectivehigh-qualityespeciallyemergenciesOptimizationprioritizationsAfricaEMOCuniversal

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