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

Jakperik Dioggban (), Chukwudum Queensley Chidimma () and Adjabui Michael Jackson ()
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Jakperik Dioggban: Department of Mathematics, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Box 24, Ghana
Chukwudum Queensley Chidimma: Department of Mathematics, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Box 24, Ghana
Adjabui Michael Jackson: Department of Mathematics, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Box 24, Ghana

Statistics, Politics and Policy, 2023, vol. 14, issue 2, 151-162

Abstract: 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.

Keywords: maternal mortality; rural-urban inequalities; small area estimation; binary logistic regression (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1515/spp-2022-0022

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