Determining factors of neonatal mortality in Ethiopia: An investigation from the 2019 Ethiopia Mini Demographic and Health Survey

Sahile, Abay; Bekele, Dereje; Ayele, Habtamu

doi:10.1371/journal.pone.0267999

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…An estimated 74,837 number of neonatal deaths had occurred in Ethiopia in 2019. This is in agreement with the further analysis of mini-EDHS survey that reported 35 neonatal deaths per 1000 live births [36]. Both were done in 2019.…”

Section: Discussionsupporting

confidence: 90%

Burden and Health Loss Due to Neonatal Disorders in Ethiopia, 2019

Abate,

NA,

et al. 2023

Preprint

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Background: Despite tremendous efforts to reduce neonatal mortality worldwide and in 24 Ethiopia, there is the country is one of the countries with highest neonatal morbidity and health 25 losses. Never the less, the past three decades’ national trend and subnational distribution of 26 neonatal morbidity and mortality and its health loss in Ethiopia, was not well documented. 27 Hence, this study had aimed to analyze the trend and distributions as well as health losses 28 resulting from neonatal morbidity in the past three decades in Ethiopia, 2019. 29 Objective: To assess the national trend and sub national distributions of neonatal morbidity and 30 neonatal mortality in the previous three decades by using Global Burden of Diseases, 2019 data. 31 Methods: The data sources were primary and secondary data related to risk factors, morbidity, 32 disability, deaths, Disability Adjusted Life Years, Years Lived with Disability and Years Life Lost 33 were collected form case studies and case series, household surveys, socio-demographic surveys 34 and surveillances, health facilities surveys, Health facility observations and interviews and 35 published and unpublished literatures. The prevalence, deaths and health losses were calculated 36 by using embedded model. The study period covered from 1990 to 2019. Results were presented 37 buy using texts, tables and graphs. 38 Results: Seventy percent of neonatal disorders had occurred among early neonates aged 0 to 6 39 days. Between 1990 and 2019, the national prevalence of neonatal disorders had increased by 40 47% in to 28,319 (95% UI, 25646-30,361). Bet Similarly, the highest number of neonatal deaths 41 caused by neonatal sepsis had shifted from Southern Nations Nationalities and Peoples region to 42 Oromia region while Harari remains to bear the lowest burden in the last three decades. The 43 highest and the lowest YLL as a result of neonatal disorders had occurred in Oromia 44 [(2,753,038,95% UI, 2,184,142-3,497-926) and Amhara 1,360,847 [(95% UI, 95% UI, 45 1,062,660-1,762,028)] regions respectively. Unlike other regions, Addis Ababa had the highest 46 (52%) prevalence of preterm birth in 2019 47 Conclusion and Recommendation: About seven in ten of neonatal death had occurred among 48 early neonates indicating narrowed occurrence of the event. The highest and the lowest number 49 of neonatal death and health loss had occurred in Oromia and Harari regions respectively. The 50 main causes of death were neonatal sepsis and other infections, neonatal preterm, hemolytic 51 disease and other jaundice and neonatal encephalopathy and trauma. Hence, Contextualized, 52 locally accepted innovative early neonatal care is crucial to avert the event.

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Section: Discussionsupporting

confidence: 90%

Burden and Health Loss Due to Neonatal Disorders in Ethiopia, 2019

Abate,

NA,

et al. 2023

Preprint

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“…Neonatal mortality rate with respiratory distress syndrome is high 24.5% in Cameron (6), 10.4% in Yaoundé, Cameroon (29), 37.44% in west Oromia referral hospitals (30). Moreover, the signi cant predictors are prematurity, male gender, over birth weight, an Apgar score < 7 at the 1st minute, and early neonatal period, perinatal asphyxia, cyanosis, and delivered by caesarian section, hypertension and Diabetes mellitus, PROM, meconium aspiration (6, 9,27,30) Ethiopia ranks among the top ve countries with the highest number of neonatal deaths when RDS is the major contributor (31). Made little progress in lowering neonatal mortality, when the neonatal mortality rate is still 33/1000 by 2019 and only decreased to 27/1000 live births by 2020.…”

Section: Introductionmentioning

confidence: 99%

“…Made little progress in lowering neonatal mortality, when the neonatal mortality rate is still 33/1000 by 2019 and only decreased to 27/1000 live births by 2020. It increases neonatal care costs within the rst 28 days of life in Ethiopia (22,25,31). The government establishes strategies and policies in health sectors transformation plan that, works on the causes of neonatal mortality to prevent neonatal mortality and to give better care for neonates (22,26,32).…”

Section: Introductionmentioning

confidence: 99%

Mortality rate, Time to mortality and its predictors among neonates admitted to neonatal intensive care unit with respiratory distress syndrome at Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia: A retrospective cohort study

Andargie,

Muluneh,

Birhanu

2024

Preprint

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Background: Neonatal respiratory distress syndrome is a respiratory problem recognized as one or more signs of tachypnea, Bradypnea, nasal flaring, chest retractions, grunting, and respiratory pauses. It is one of the leading causes of neonatal mortality, especially in developing countries. Although it is one of the leading causes, there haven't been studies conducted on mortality rates and predictors in Ethiopia. Objective: To assess the mortality rate and its predictors among neonates with respiratory distress syndrome admitted to the neonatal intensive care unit of Debre Markos comprehensive specialized hospital, Northwest Ethiopia. Method: An institution-based retrospective cohort study was conducted among 384 neonates admitted with respiratory distress syndrome to the neonatal intensive care unit of Debre Markos comprehensive specialized hospital from January 1, 2020, to March 30, 2023. Data was extracted using checklist and entered into EPI Data 4.6. Finally, export to STATA version 14.1 for further management and analysis. The Kaplan-Meier curve with the log-rank test was computed to estimate failure time and compare failure status between independent groups. Both bivariable and multivariable Cox regression models were applied to identify predictors of mortality. The model assumption was checked by a graph and the Schoenfeld residual global test. The final model's fitness was checked using the Cox-Snell residual test. Result: Among 384 neonates with RDS 36.7% were dead during t study period, with an overall mortality rate of 7.5 per 100 neonate days of observation. The median time to mortality was 13 neonatal days (3 and 16 days of IQR), with a total follow-up of 1864 neonate-day observations. Preterm (AHR=1.54, 95% CI: 1.03–2.31), home delivery (AHR=2.25, 95% CI: 1.28–3.95), and maternal hypertension (AHR=3.59, 95% CI: 1.66-7.77) were the significant predictors. Conclusion: This study found that the neonatal mortality rate is high. The predictors significantly associated with neonatal mortality among neonates admitted with RDS were preterm birth, home delivery, and neonates born from hypertensive mothers. Collaboration efforts are needed with families, labor and NICU health care providers, institutions, and the community to reduce neonatal mortality.

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Using best performance machine learning algorithm to predict child death before celebrating their fifth birthday

Workie Demsash

2023

Informatics in Medicine Unlocked

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Determining factors of neonatal mortality in Ethiopia: An investigation from the 2019 Ethiopia Mini Demographic and Health Survey

Cited by 5 publications

References 26 publications

Burden and Health Loss Due to Neonatal Disorders in Ethiopia, 2019

Burden and Health Loss Due to Neonatal Disorders in Ethiopia, 2019

Mortality rate, Time to mortality and its predictors among neonates admitted to neonatal intensive care unit with respiratory distress syndrome at Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia: A retrospective cohort study

Using best performance machine learning algorithm to predict child death before celebrating their fifth birthday

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