Understanding correlates of infant mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

Adebe, Kebede Lulu; Wake, Senahara Korsa; Yadata, Sagni Daraje; Gondol, Ketema Bedane; Mekebo, Gizachew Gobebo; Wolde, Temesgen Senbeto; Bechera, Terefa; Regesa, Belema Hailu; Galdassa, Agassa; Yadata, Kumera Dereje

doi:10.1097/ms9.0000000000000629

Cited by 2 publications

(1 citation statement)

References 39 publications

(34 reference statements)

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“…This is consistent with prior studies [28,33,43,51]. Higher U5M rate was also associated with children of multiple births, which is consistent with the studies [8][9][10]32,39,48,52,53]. Lower U5M rate was associated with larger family size.…”

Section: Plos Onesupporting

confidence: 92%

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: 92%

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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Prevalence and associated factor of neonatal mortality among neonates admitted to Asella referral and teaching hospital, Asella, Ethiopia, 2024

Tadesse Aredo,

Habtamu,

Bekele

et al. 2024

JPNC

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Background: The neonatal period, encompassing the first 28 days of life, is a critical phase for newborn survival. Neonatal mortality refers to the death of newborns within the initial four weeks of life and constitutes a significant portion of child mortality under five years old, accounting for 38% of these deaths in the developing world. The causes of neonatal mortality vary across different regions. Objective: The aim of this study is to assess the prevalence, causes, and associated factors of neonatal mortality among neonates admitted to Asella Referral and Teaching Hospital in Asella, Ethiopia, in 2024. Method: A facility-based retrospective cross-sectional study was conducted among neonates admitted to Asella Referral and Teaching Hospital from July 7, 2020, to July 7, 2023. Participants were selected using a systematic random sampling method. Data collected were entered into Epi Data Version 3.1 and analyzed using SPSS Version 26. Descriptive analysis was performed for all independent variables. Variables with a p-value < 0.25 in bivariable logistic regression analysis were further analyzed using multivariable logistic regression. A significant association between independent variables and the outcome variable was considered at a p-value < 0.05 in the multivariable regression analysis. Results: This study included 194 neonates, with a neonatal mortality prevalence of 13.9%. The leading causes of neonatal mortality were birth asphyxia (22.1%), meconium aspiration syndrome (14.8%), and neonatal sepsis (11.1%). Factors such as obstructed labor [AOR=3.5: 95% CI (1.2–10.7)], instrumentally assisted vaginal delivery [AOR=3.5: 95% CI (1.03–11.9)], pregnancy-induced hypertension [AOR=2.0: 95% CI (1.2–14.5)], and lack of antenatal care follow-up [AOR=3.2: 95% CI (1.1–9.9)] were identified as predictors of neonatal mortalities (p <0.05). Conclusion: The study revealed a high prevalence of neonatal mortalities. Obstructed labor, instrumentally assisted vaginal delivery, pregnancy-induced hypertension, and inadequate antenatal care follow-up were significant predictors of neonatal mortality. Improvements in obstetric care quality, antenatal follow-up, and emergency obstetric services are crucial to reducing neonatal mortality rates in the study setting.

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Understanding correlates of infant mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

Cited by 2 publications

References 39 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

Prevalence and associated factor of neonatal mortality among neonates admitted to Asella referral and teaching hospital, Asella, Ethiopia, 2024

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