Determinants of infant mortality in Oromia region, Ethiopia

Irana, Tariku; Mekebo, Gizachew Gobebo; Diriba, Gezahagn; Sisay, Assefa Legesse; Woldeyohannes, Birhanu; Yohannes, Zemene

doi:10.1097/ms9.0000000000000842

Cited by 7 publications

(6 citation statements)

References 36 publications

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“…The richest women had significant reduction in under-five mortality with compared to the poorest women. This result agrees with various findings [14,16,24,26,35,40,[42][43][44]. Whereas, it is not agreed with a study conducted in Nigeria [29].…”

Section: Plos Onesupporting

confidence: 77%

Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

Argawu,

Mekebo

2023

PLoS ONE

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Background Remarkable reduction in global under-five mortality has been seen over the past two decades. However, Ethiopia is among the five countries which account for about half (49%) of all under-five mortality worldwide. This study aimed at identifying factors associated with under-five children mortality in Ethiopia using the 2019 Ethiopia mini demography and health survey data. Methods The most recent national representative demography and health survey data of Ethiopia, 2019 Ethiopia mini demography and health survey data, were used for this study. Count data regression models were applied to identify the factors associated with under-five children mortality. Statistical significance was declared at P-value less than 0.05. Results Zero-Inflated Poisson (ZIP) regression model was found to be the best model compared to other count regression models based on models comparison Criteria. The ZIP model revealed that decreased risk of under-five mortality was associated with mothers aged 25–34 years, unmarried mothers, mothers delivered in health facility, mothers used Pill/IUD, mothers who had larger number of children at home whereas increased risk of under-five mortality was associated with older mothers at their first births, mothers from rural areas, mothers travel for 1–30 min and >30 min to get drinking water, mothers used charcoal and wood, children with higher birth order and multiple births. Conclusions In this study, place of residence, region, place of delivery, religion, age of mother, mother’s age at first birth, marital status, birth order, birth type, current contraceptive type used, type of cooking fuel, time to get drinking water, and number of children at home were statistically significant factors associated with under-five mortality in Ethiopia. Thus, the Ethiopian Ministry of Health and other concerned bodies are recommended to encourage mothers to deliver at health institutions, give awareness for mothers to use Pill/IUD contraceptive type, and facilitate rural areas to have electricity and drinking water near to homes so as to minimize the under-five mortality to achieve the sustainable development goal.

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Section: Plos Onesupporting

confidence: 77%

Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

Argawu,

Mekebo

2023

PLoS ONE

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“…Infant mortality rate is significantly associated with both economic growth (Irana et al, 2023) and poverty in a region (Mohamoud et al, 2019). High economic growth improves the living standards in a country (Kartiasih, 2019a;Kartiasih & Setiawan, 2020;Kusumasari & Kartiasih, 2017), thereby reducing infant mortality rates (Abiodun et al, 2020).…”

Section: Article Infomentioning

confidence: 99%

The Role of Socioeconomic and Female Indicators on Infant Mortality in West Nusa Tenggara: A Panel VECM Analysis

Arini,

Mumtazah,

Siahaan

et al. 2024

JDE

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West Nusa Tenggara Province has an infant mortality rate that surpasses the national average. Additionally, it is also characterized as having a high Gini ratio and gender inequality index. Therefore, this study aims to examine the differences in classification among different regions, the long-term and short-term impact, and the causal relationship between socio-economic factors and female indicators in relation to infant mortality. This study used the co-integration method of the panel VECM and applied the natural breaks (Jenks) classification method based on panel data from 10 regencies/cities in West Nusa Tenggara Province between 2012 and 2022. This study discovered two instances of co-integration where the life expectancy of women was found to have a negative impact, while the percentage of women working full-time was found to have a positive impact on the long-term infant mortality rate. Infant mortality rates in the short term showed a significant relationship with the cointegration coefficient, mean years of schooling of women, life expectancy of women, and percentage of women working full-time. There is a direct causal relationship between the mean years of schooling of women and the percentage of people living in poverty and the infant mortality rate. This study is expected to serve as a basis to guide the Government of West Nusa Tenggara Province in promoting equity in education, equal job opportunities, adequate healthcare facilities, and increased investment to decrease infant mortality.

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“…4 Thus, child survival chances vary dramatically among regions, with children born in sub-Saharan Africa at the highest risk of infant death in the world. 3 , 6 Globally, sub-Saharan Africa remains the area with the highest child mortality disparity rates, reporting 1 in 13–14 children dying before reaching the age of 5 years, 14 times higher than the risk in high-income countries, and accounting for 56% of global under-5 deaths. 1 , 4 A newborn aged 1–28 days old in sub-Saharan Africa is 11 times more likely to die than a newborn in the Australia/New Zealand region.…”

Section: Introductionmentioning

confidence: 99%

“…The determinants of infant mortality are multifactorial and complex and include factors related to the mother’s age, health, residence, employment status, marital status, educational level, and age at first birth. 3 , 6 Additional significant factors include the sex of the child, desire for pregnancy, gestational age, birth type, birth size, preceding birth interval, breastfeeding status, breastfeeding initiation, vaccination status, antenatal care visits, place of delivery, use of family planning, family size, available source of water and household electricity, birth asphyxia, distance to the health facility, age of the infant, maternal medical complications during pregnancy, and maternal death at birth. 3 , 6 , 11 , 12 Many of these factors are primarily preventable bio-demographic factors.…”

Section: Introductionmentioning

confidence: 99%

“… 3 , 6 Additional significant factors include the sex of the child, desire for pregnancy, gestational age, birth type, birth size, preceding birth interval, breastfeeding status, breastfeeding initiation, vaccination status, antenatal care visits, place of delivery, use of family planning, family size, available source of water and household electricity, birth asphyxia, distance to the health facility, age of the infant, maternal medical complications during pregnancy, and maternal death at birth. 3 , 6 , 11 , 12 Many of these factors are primarily preventable bio-demographic factors. Preterm birth, low birth weight, neonatal sepsis and other infections, birth asphyxia, congenital anomalies, neonatal jaundice, and pneumonia are frequent causes of infant mortality in Ghana.…”

Section: Introductionmentioning

confidence: 99%

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Infant mortality in Ghana: investing in health care infrastructure and systems

Poulin,

Nimo,

Royal

et al. 2024

Health Affairs Scholar

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Child and infant mortality is a global problem. Almost half of deaths of children under age five occur in the neonatal period, the first 28 days of life, and 2.4 million neonatal deaths globally in 2020. Sub-Saharan Africa has disproportionately high numbers of neonatal deaths. Ghana’s neonatal mortality rate is 22.8 per 1,000 live births and remains behind targets set by the United Nations Sustainable Development Goals. Quality antenatal care, postnatal monitoring, breastfeeding support, and postnatal family planning are important in preventing neonatal deaths. While Ghana has made progress in making care more financially accessible, it has not been matched with the improvements in the critical infrastructure required to ensure quality healthcare. The improvements have alsonot eliminated out-of-pocket costs for care, which have hindered progress in decreasing infant mortality. Policymakers should consider investments in healthcare infrastructure, including expanding public-privatepartnerships. Policies that improve workforce development programs, transportation infrastructure, and health insurance systems improvements are needed.

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Determinants of infant mortality in Oromia region, Ethiopia

Cited by 7 publications

References 36 publications

Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

The Role of Socioeconomic and Female Indicators on Infant Mortality in West Nusa Tenggara: A Panel VECM Analysis

Infant mortality in Ghana: investing in health care infrastructure and systems

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