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Model-Based Small Area Estimation of Regional-Level Maternal Mortality Prevalence in Ghana

Datos Bibliográficos

ID13036587
AutoresJakperik Dioggban (0000-0003-3369-6123, C.K. Tedam University of Technology and Applied Sciences, autor de correspondencia), Queensley C Chukwudum (0000-0002-8998-1700, C.K. Tedam University of Technology and Applied Sciences), Michael Jackson Adjabui (C.K. Tedam University of Technology and Applied Sciences)
Año2023
Volumen14
Número2
Páginas151-162
Fecha de publicación2023-05-27
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaStatistics Politics and Policy (JOURNAL)
Identificadores de la revistaISSN: 2151-7509 • E-ISSN: 2194-6299
EditorialDe Gruyter (PUBLISHER • DE)
DOI10.1515/spp-2022-0022
OpenAlexW4378554224
IdiomaEN
Referencias citadas21

The study involved 1240 women covering the ten administrative regions of Ghana. The aim was to study the prevalence of maternal mortality and its distribution across the ten regions based on given demographic factors. Three main analytical methods were used: Direct estimation method, Fay-Herriot method and Binary Logistic regression. The study revealed that prevalence of maternal mortality in Ghana was high among women engaged in manual works, rural dwellers, women living without partners and women living in pro-poor families. The Northern region had the highest number of maternal deaths followed by the Western region whilst the Ashanti and the Upper East regions had the lowest number of maternal deaths. There is therefore the need for Ghana Health Service to engage all stakeholders in checking maternal mortality in the country

Developing country · Distribution (mathematics · Economic growth · Environmental health · Estimation · Geography · Logistic regression · Rural area · Small area estimation · Socioeconomics · Sociology · Demography · Global Health Care Issues · Global Maternal and Child Health · Healthcare Systems and Reforms · Medicine

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