Abstract

Maternal mortality is one of the socio-economic problems and widely considered a serious indicator of the quality of a health. Ethiopia is considered to be one of the top six sub-Saharan countries with severe maternal mortality. The objective of this study was to investigate the effects of the Demographic and Socio-economic determinant factors of maternal mortality in Ethiopia. Data from the 2016 Ethiopia Demographic and Health Survey indicated that the sample of women (15–49) was (n = 10,103). The Bayesian multilevel we were used to explore the major risk factors and regional variations in maternal mortality in Ethiopia. Markov chain Monte Carlo methods with non-informative priors have been applied. The Deviance Information Criterion model selection criteria were used to select the appropriate model. The analysis result, 145 (1.43%) mothers were died due to pregnancy. Using model selection criteria Bayesian multilevel random coefficient was found to be appropriate. With this model, Age of mother, marital status, number of living children, wealth index and Education are found to be the significant determinants of maternal mortality in Ethiopia. The study indicated that there was within and between regional variations in maternal mortality. Inference is the fully Bayesian multilevel model based on recent Markov chain Monte Carlo techniques. The socioeconomic, demographic and environmental determinants included in the study were found to be statistically significant. The result of the Bayesian multilevel model in this study has shown that educational attainment, wealth index, an age of mother, status and number of living children was a significant factor of maternal mortality.

Highlights

  • Background of the studyMaternal mortality is known as maternal death and major cause of death among women of reproductive age [48]

  • The response variable considered in this study was the maternal mortality (Death are related to pregnancy or otherwise).The highest percentage of maternal mortality was observed in Afar (2.93%) followed by Somalia (2.72%) while the lowest percentage of maternal death was recorded in Addis Ababa (0.46%) and followed by Dire Dawa (0.67%) in 2016

  • As study conducted in Ghana on distribution of causes of maternal mortality among different socio-demographic groups Maternal Mortality was generally high for women who lived in rural areas as opposed to urban residence (Placeholder3)

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Summary

Introduction

Background of the studyMaternal mortality is known as maternal death and major cause of death among women of reproductive age [48]. As explained in Shah and Say [40], maternal mortality is the death of a woman while pregnant or within 42 days of termination of pregnancy. It caused by any related of the pregnancy but not from accidental or incidental causes. The overwhelming majority of Jabessa and Jabessa J Big Data (2021) 8:34 maternal deaths occurs in low resource countries and arises from the risks attributable to pregnancy and childbirth as well as from the poor performance of health services [15]. More than half of the maternal deaths (270,000) occurred in the sub-Saharan Africa region alone, followed by South Asia 188,000 [20]. In sub-Saharan Africa, one out of every 13 women dies of pregnancy-related causes during their lifetime as with one in 4,085 women in industrialized countries [28]

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