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

Dados Bibliográficos

ID13036587
AutoresJakperik Dioggban (0000-0003-3369-6123, C.K. Tedam University of Technology and Applied Sciences, autor correspondente), 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)
Ano2023
Volume14
Fascículo2
Páginas151-162
Data de publicação2023-05-27
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoStatistics Politics and Policy (JOURNAL)
Identificadores do periódicoISSN: 2151-7509 • E-ISSN: 2194-6299
EditoraDe Gruyter (PUBLISHER • DE)
DOI10.1515/spp-2022-0022
OpenAlexW4378554224
IdiomaEN
Referências 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

  • Regression Modeling Strategies

    Open Access•Frank E Harrell, Frank E Harrell Frank E Harrell et al.•Regression Modeling Strategies•2015

  • The determinants of financial inclusion in Africa

    Open Access•Alexandra Zins, Laurent Weill•Review of Development Finance•2016

  • Community Health Educators and Maternal Health

    Martina Björkman Nyqvist, Jessica Leight et al.•The Journal of Development Studies•2023

  • Determinants of attending antenatal care at least four times in rural Ghana

    Open Access•Evelyn Sakeah, Sumiyo Okawa et al.•Global Health Action•2017

Velocidade de citaçãohistorical
Altamente citadoNão
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