Neonatal Mortality In Ethiopia Research Articles

Predictors of neonatal mortality in Ethiopia: Cross sectional study using 2005, 2010 and 2016 Ethiopian demographic health survey datasets.

Ethiopia is among the countries that have highest neonatal mortality in the world. Despite efforts to reduce neonatal mortality, the country has faced challenges in achieving national and global targets. The study aims to determine the trends and predictors of change in neonatal mortality in Ethiopia for the past 15 years. The study used Ethiopian Demographic Health Survey Datasets (EDHS) from 2005, 2011, and 2016. All live births of reproductive-age women in Ethiopia were included in the study. Multivariate decomposition analysis for the nonlinear response variable (MVDCMP) based on the logit link function was employed to determine the relative contribution of each independent variable to the change in neonatal mortality over the last 15 years. The neonatal mortality rate has decreased by 11 per 1,000 live births, with an annual reduction rate of 2.8% during the survey period. The mortality rate increased in the pastoralist regions of the country from 31 per 1,000 live births to 36 per 1,000 live births, compared to the city and agrarian regions. Maternal ANC visits in 2005 and 2016 (AOR [95%CI] = 0.10 [0.01, 0.81]; 0.01 [0.02, 0.60]) were significantly associated with decreased neonatal mortality. In addition, the decomposition analysis revealed that increased birth interval of more than 24 months and early breastfeeding initiation contributed to the reduction of neonatal mortality by 26% and 10%, respectively, during the survey period. The study found that neonatal mortality is a public health problem in the country, particularly in pastoralist communities. Tailor made maternal and child healthcare interventions that promote early breastfeeding initiation, increased birth intervals and ANC utilization should be implemented to reduce neonatal mortality, particularly in pastoralist communities.

A generalized Poisson regression analysis of determinants of early neonatal mortality in Ethiopia using 2019 Ethiopian mini demographic health survey

Neonatal mortality within the first few days of life is a pressing issue in sub-Saharan Africa, including Ethiopia. Despite efforts to achieve the targets set by the Sustainable Development Goals, the rate of neonatal mortality in Ethiopia has increased from 29 to 33 deaths per 1000 live births. This study aimed to investigate and identify significant determinants of neonatal mortality within the first 72 h of life in Ethiopia. Utilizing data from the 2019 Ethiopia Demographic and Health Survey, we employed Generalized Poisson regression analysis following rigorous model fitness assessment. Our study encompassed 5527 weighted live-born neonates. Among women in their reproductive years, 3.1% (n = 174) experienced at least one very early neonatal death. Multiple births (Incidence Risk Ratio (IRR) = 3.48; CI = 1.76, 6.887) and birth order six or above (IRR = 2.23; CI = 1.008, 4.916) were associated with an increased risk of neonatal death within the first 72 h. Conversely, household size (IRR = 0.72; CI = 0.586, 0.885) and additional feeding practices (IRR = 0.33; CI = 0.188, 0.579) were found to mitigate the risk of very early neonatal mortality per mother in Ethiopia. Interventions targeting the identified risk factors and promoting protective factors can contribute to reducing very early neonatal mortality rates and improving the well-being of mothers and their newborns. Further research and implementation of evidence-based strategies are needed to address these challenges and ensure better neonatal outcomes in Ethiopia.

Incidence and Predictors of Preterm Mortality in Ethiopia: A Systematic Review and Meta-analysis

Introduction Preterm birth complication is the first leading cause of neonatal mortality in Ethiopia. In this study, the pooled prevalence and predictors of preterm mortality in Ethiopia were assessed. Methods The research protocol was registered to PROSPERO under the CRD42023415334 registration number. PubMed, Google Scholar, Cochrane Library, and Hinari databases were searched for studies up to April 10, 2023. Cohort studies on the incidence of preterm mortality and its predictors in Ethiopia were included in this review. This review was reported using the preferred reporting items for systematic reviews and meta-analyses checklist. We extracted data from the selected papers and exported to R 4.2.3 and STATA version 15.0 for estimating pooled incidence proportion, density rate, and adjusted hazard ratio (AHR). By looking at the funnel plot and using Egger’s test, the publication bias was assessed. This study didn’t receive funds from any organization. Results From 152 identified studies, 16 studies were selected for final analysis. The pooled incidence proportion and incidence density of preterm mortality were 30% (95% CI: 27%–32%) and 40 (95% CI: 30–40) per 1,000-person days, respectively. Being a male (AHR = 1.43, 95% CI: 1.09, 1.78), gestational age (0.83, 95% CI: 0.80, 0.87), born before 32 weeks (AHR = 2.15, 95% CI: 1.15, 3.84), antepartum hemorrhage (AHR = 2.46, 95% CI: 1.07, 3.84), the fifth minute Apgar rating less than seven (AHR = 1.84, 95% CI: 1.43, 2.25), birth asphyxia (AHR = 1.87, 95% CI; 1.59, 2.14), birth weight 1,000–1,499 g (AHR = 3.63, 95% CI: 1.69, 5.57), respiratory distress syndrome (AHR = 1.80, 95% CI: 1.59, 2.02), jaundice (AHR = 2.39, 95% CI: 1.16, 3.61), neonatal sepsis (AHR = 1.54, 95% CI: 1.25, 1.83), and not using kangaroo mother care (AHR =1.92, 95% CI: 1.11, 2.72) were predictors of time to death of preterm. Conclusions Almost one third of preterm neonates treated at different health facilities in Ethiopia failed to survive to the first four weeks of life. Because every study that was included was an institution-based cohort study, the results may not generalized to preterm newborns who were not hospitalized at medical facilities.

Trends and causes of neonatal mortality from 2010 to 2017 at a Health and Demographic Surveillance site in Northern Ethiopia

ABSTRACT Background Half of global under-five mortalities is neonatal. The highest rates are found in low-income countries such as Ethiopia. Ethiopia has made progress in reducing under-five mortality, but neonatal mortality remains high. Evidence collected continuously at the community level is crucial for understanding the trends and causes of neonatal mortality. Objectives To analyse the trends and causes of neonatal mortality at the Kilte-Awlelo Health and Demographic Surveillance System (KAHDSS) site in Ethiopia from 2010 to 2017. Methods A descriptive study was conducted using data from neonates born between 2010 and 2017 at the KAHDSS site. Data were collected using interviewer-administered questionnaires. Causes of death were examined, and neonatal mortality trends were described using simple linear regression. Results The overall average neonatal mortality rate was 17/1000 live births (LBs). The rate increased from 12 per 1000 LBs in 2010 to 15 per 1000 LBs in 2017. The majority of neonatal deaths occurred during the first week of life, and more than one-half died at home. The leading causes were sepsis, pre-term birth (including respiratory distress), disease related to the perinatal period, birth asphyxia, and neonatal pneumonia. Conclusions The high neonatal mortality in Ethiopia requires urgent attention and action. Sepsis, preterm birth, perinatal diseases, asphyxia, and neonatal pneumonia are the leading causes of death in neonates. Facility- and community-based health services should target the leading causes of neonatal deaths.

Antenatal Care Reduces Neonatal Mortality in Ethiopia: A Systematic Review and Meta-Analysis of Observational Studies.

Neonatal deaths remain a serious public health concern in Ethiopia; being one of the top five countries contributing to half of the neonatal deaths worldwide. Although antenatal care (ANC) is assumed as one of the viable options that contribute to neonatal survival, findings from original studies indicated disparities in the effect of ANC on neonatal mortality. Thus, this review aimed to determine the pooled effect of ANC on neonatal mortality in Ethiopia. Databases such as PubMed, EMBASE, CINAHL, HINARI, and Cochrane Central Library were searched for articles using keywords. Selection of eligible articles and data extraction were conducted by an independent author. The risk of a bias assessment tool for non-randomized studies was used to assess the quality of the articles. Comprehensive meta-analysis version 2 software was used for meta-analysis. Heterogeneity and publication bias of included studies were assessed using I2 test statistic and Egger test, respectively. The random-effect model was employed; an outcome is reported using a risk ratio with a 95% confidence interval. Of 28 included studies, 20 showed receiving at least one ANC visit had a significant association with neonatal mortality. Accordingly, the estimated pooled risk ratio for neonatal mortality was 0.59 (95% CI 0.45, 0.77) among infants born to women who had at least one ANC visit compared to infants born to women who had no ANC visits. This finding indicated that neonatal mortality was decreased among infants born to women who had at least one ANC visit compared to infants born to women who had no ANC visit. Therefore, promoting and strengthening ANC service utilization during pregnancy would accelerate the reduction of neonatal mortality in Ethiopia.

Neonatal sepsis and its associated factors among neonates admitted to the neonatal intensive care unit in Wachemo University Comprehensive Specialized Hospital, Southern Ethiopia, 2022.

Neonatal sepsis is a major public health problem worldwide. It is one of the leading causes of neonatal mortality and morbidity worldwide. The neonatal mortality rate is higher in developing countries, where the extent and causes of neonatal sepsis are not yet known. Neonatal sepsis is a leading cause of neonatal mortality in Ethiopia. As a result, this study aimed to assess the proportion and identify maternal and neonatal risk factors for neonatal sepsis among neonates admitted to the neonatal intensive care unit. An institutional-based cross-sectional study was conducted from May 2022 to July 2022 at the Wachemo University Comprehensive Specialized Teaching Hospital, Neonatal Intensive Care Unit, southern Ethiopia. A total of 205 neonates with indexed mothers participated in the study. Using a consecutive sampling technique, a structured, pretested questionnaire was used to collect data from the study subjects. Data were entered into EpiData Manager version 3.1 for Windows and then exported to SPSS version 22 for further data cleaning and analysis. Descriptive analyses were performed by using frequency, percentage, and summary statistics to describe the key variables. A multivariate regression model was used to identify factors associated with neonatal sepsis. Finally, statistical significance was declared at a p-value of less than 0.05, and an adjusted odds ratio (AOR) with a 95% confidence level was used to declare the variable's association with the outcome variable. The overall prevalence rate of neonatal sepsis was 39.5% (95% CI: 33.7-45.9). Multivariable analysis was performed by taking a variable that is statistically significant in bivariate logistic regression as a candidate variable. Multivariable model analysis showed that unmarried status AOR = 18.37 (95% CI: 1.56-216.14), maternal fever during delivery AOR = 4.74 (95% CI: 1.63-13.8), and premature rupture of membrane AOR = 7.53 (95% CI: 2.19-25.6) were variables that increased the odds of developing neonatal sepsis. The study's findings indicate that neonatal sepsis is highly prevalent. Unmarried maternal status, maternal fever during delivery, and premature rupture of the membrane were predictors of neonatal sepsis. Therefore, providing training for health workers and close monitoring and evaluation during obstetric and neonatal care are crucial to halt the occurrence of neonatal sepsis.

National and subnational burden of under-5, infant, and neonatal mortality in Ethiopia, 1990-2019: Findings from the Global Burden of Disease Study 2019.

The under-5 mortality rate is a commonly used indicator of population health and socioeconomic status worldwide. However, as in most low- and middle-income countries settings, deaths among children under-5 and in any age group in Ethiopia remain underreported and fragmented. We aimed to systematically estimate neonatal, infant, and under-5 mortality trends, identify underlying causes, and make subnational (regional and chartered cities) comparisons between 1990 and 2019. We used the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD 2019) to estimate three key under-5 mortality indicators-the probability of death between the date of birth and 28 days (neonatal mortality rate, NMR), the date of birth and 1 year (infant mortality rate, IMR), and the date of birth and 5 years (under-5 mortality rate, U5MR). The causes of death by age groups, sex, and year were estimated using Cause of Death Ensemble modelling (CODEm). Specifically, this involved a multi-stage process that includes a non-linear mixed-effects model, source bias correction, spatiotemporal smoothing, and a Gaussian process regression to synthesise mortality estimates by age, sex, location, and year. In 2019, an estimated 190,173 (95% uncertainty interval 149,789-242,575) under-5 deaths occurred in Ethiopia. Nearly three-quarters (74%) of under-5 deaths in 2019 were within the first year of life, and over half (52%) in the first 28 days. The overall U5MR, IMR, and NMR in the country were estimated to be 52.4 (44.7-62.4), 41.5 (35.2-50.0), and 26.6 (22.6-31.5) deaths per 1000 livebirths, respectively, with substantial variations between administrative regions. Over three-quarters of under-5 deaths in 2019 were due to five leading causes, namely neonatal disorders (40.7%), diarrhoeal diseases (13.2%), lower respiratory infections (10.3%), congenital birth defects (7.0%), and malaria (6.0%). During the same period, neonatal disorders alone accounted for about 76.4% (70.2-79.6) of neonatal and 54.7% (51.9-57.2) of infant deaths in Ethiopia. While all regional states in Ethiopia have experienced a decline in under-5, infant, and neonatal mortality rates in the past three decades, the rate of change was not large enough to meet the targets of the Sustainable Development Goals (SDGs). Inter-regional disparities in under 5 mortality also remain significant, with the biggest differences being in the neonatal period. A concerted effort is required to improve neonatal survival and lessen regional disparity, which may require strengthening essential obstetric and neonatal care services, among others. Our study also highlights the urgent need for primary studies to improve the accuracy of regional estimates in Ethiopia, particularly in pastoralist regions.

Prevalence and determinants of early neonatal mortality in Ethiopia: findings from the Ethiopian Demographic and Health Survey 2016

BackgroundEarly neonatal death accounts for a significant number of under-5 mortality worldwide. However, the problem is under-researched and under-reported in low-income and middle-income countries, particularly in Ethiopia. The magnitude of...

Reducing neonatal mortality in Ethiopia: a call for urgent action! An evidence brief for policy

Reducing neonatal mortality in Ethiopia: a call for urgent action! An evidence brief for policy

The effect of distance to health facility on neonatal mortality in Ethiopia

IntroductionIn Ethiopia, more than half of newborn babies do not have access to Emergency Obstetric and Neonatal Care (EmONC) services. Understanding the effect of distance to health facilities on service use and neonatal survival is crucial to recommend policymakers and improving resource distribution. We aimed to investigate the effect of distance to health services on maternal service use and neonatal mortality.MethodsWe implemented a data integration method based on geographic coordinates. We calculated straight-line (Euclidean) distances from the Ethiopian 2016 demographic and health survey (EDHS) clusters to the closest health facility. We computed the distance in ESRI ArcGIS Version 10.3 using the geographic coordinates of DHS clusters and health facilities. Generalised Structural Equation Modelling (GSEM) was used to estimate the effect of distance on neonatal mortality.ResultsPoor geographic accessibility to health facilities affects maternal service usage and increases the risk of newborn mortality. For every ten kilometres (km) increase in distance to a health facility, the odds of neonatal mortality increased by 1.33% (95% CI: 1.06% to 1.67%). Distance also negatively affected antenatal care, facility delivery and postnatal counselling service use.ConclusionsA lack of geographical access to health facilities decreases the likelihood of newborns surviving their first month of life and affects health services use during pregnancy and immediately after birth. The study also showed that antenatal care use was positively associated with facility delivery service use and that both positively influenced postnatal care use, demonstrating the interconnectedness of the components of continuum of care for maternal and neonatal care services. Policymakers can leverage the findings from this study to improve accessibility barriers to health services.

Epidemiology of neonatal mortality: a spatial and multilevel analysis of the 2019 mini-Ethiopian demographic and health survey data

BackgroundSub-Saharan African countries are a high-burden region of neonatal mortality and showed slow progress in its reduction. In developing countries, as long as the current trend of mortality persists, achieving a sustainable development target for neonatal mortality would be challenging. The aim of this study was to detect significant geographic areas and identify community and individual-level predictors of neonatal mortality in Ethiopia to draw attention to a policy.Methods A weighted total sample of 24,136 mothers from the 2019 mini-Ethiopian demographic and health survey data were included in the analysis. Global Moran’s I statistics was run to check the clustering of neonatal mortality and then kriging interpolation was done to predict the magnitude of neonatal mortality in Ethiopia. In addition, SaTScan analysis was also executed to identify hot spot clusters of neonatal mortality. Finally, a multilevel mixed-effect logistic regression model was used to identify community and individual-level predictors of early neonatal and neonatal mortality.ResultsThe lifetime early neonatal and neonatal mortality among mothers in Ethiopia was 5.08 (95% CI: 4.13–6.03) and 6.54 (5.55, 7.52) per 1000 births respectively. Neonatal mortality was spatially clustered in the country and the SaTScan analysis identified significant hotspot areas of neonatal mortality in the Amhara and Afar regions and some areas of the Somali and Oromia regions. Its predicted magnitude was > 8 per 1000 births in wide areas of the Amhara and Benishangul regions. A multilevel mixed-effect logistics regression analysis identified that a lower level of maternal education, being a twin neonate, and being a male neonate were predictors of both early neonatal and neonatal mortality. Whereas, the younger age of mothers predicted neonatal mortality.ConclusionsNeonatal mortality in Ethiopia is geographically clustered and sociodemographic and obstetric factors played a significant role. Policy direction should focus on evidence-based practices like midwives-led community and facility-based continuum of care from preconception to postnatal periods to possibly reduce neonatal mortality.

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

Neonatal mortality is the probability of dying during the first 28 days of life. Of approximately 5 million children who die in the first year of life in the world, about 3 million are within their first 28 days of birth. In Ethiopia, the neonatal mortality rate is high about 37 per 1000 live births, and the factors are not well documented. Then, this study aimed to determine the key factors that have a significant influence on neonatal mortality. A total of 5753 neonatal mortality-related data were obtained from Ethiopia Mini Demographic and Health Survey (2019) data. A frequency distribution to summarize the overall data and Binary Logistic Regression to identify the subset of significant risk factors for neonatal mortality were applied to analyze the data. An estimated 36 per 1000 live children had died before the first 28 days, with the highest in the Benishangul Gumuz region (15.9%) and the lowest in Addis Ababa (2.4%). From the Binary logistic regression analysis, the odds ratio and 95% CI of age 25-34 (OR = 0.263, 95% CI: 0.106-0.653), Afar (OR = 0.384, 95% CI: 0.167-0.884), SNNPR (OR = 0.265, 95% CI: 0.098-0.720), Addis Ababa (OR = 5.741, 95% CI: 1.115-29.566), Urban (OR = 0.253, 95% CI: 0.090, 0.709), toilet facility (OR = 0.603, 95% CI: 0.404-0.900), single birth (OR = 0.261, 95% CI: 0.138-0.495), poorest (OR = 10.573, 95% CI: 2.166-51.615), poorer (OR = 19.573, 95% CI: 4.171-91.848), never breastfed (OR = 35.939, 95% CI: 25.193-51.268), public health delivery (OR = 0.302, 95% CI: 0.106-0.859), private health facility (OR = 0.269, 95% CI: 0.095-0.760). All regional states of Ethiopia, specially Benishangul Gumuz, and the Somali region must take remedial actions on public health policy, design strategies to improve facilities, and improve the capacities of stakeholders living in their region toward those major factors affecting neonatal mortality in the country.

Prevalence and associated factors of neonatal mortality in Ethiopia

Neonatal mortality is the death of a live-born baby within the first 28 days of birth. For the selected households, neonatal mortality was collected from children aged 0–28 days and women aged 15–49. The neonatal period is a significant 4-week period in human life because it carries a greater mortality risk. To identify the determinant factors of neonatal mortality in Ethiopia based on EDHS 2016 data with the application of count regression models. In this study, all neonates in Ethiopia were born within the 5 years preceding EDHS 2016 of the source population in the selected EAs from September to December 2015. Count regression models were used to analyze the data. A total of 10,641 live-born neonates within the previous 5 years of EDHS 2016 had neonatal mortality of women aged 15–49, which was considered in the study to be 7193. The data were found to have excess zeros (96.6%), and the variance (0.052) was higher than its mean (0.04). The count regression model (ZINB) was best fitted to the data with maximum likelihood parameter estimation methods. The average neonatal mortality difference in multiple births was increased by IRR = 8.53 times compared with a single birth. The average number of neonatal deaths experienced during breastfeeding was lower (IRR = 0.38) than that experienced by mothers who did not experience breastfeeding their child. The average neonatal mortality difference in rural residences was increased by IRR = 3.99 times compared to urban mothers' residences. In this study, the prevalence of Neonatal mortality in Ethiopia was higher. For selected ZINB count regression models of explanatory variables, such as multiple birth types, having rural residence factors of neonatal mortality increased the risk of death. However, having early breastfeeding, a female household head, and antenatal visits (1–4) and (5–10) during pregnancy decrease the risk of neonatal death.

Level of Postnatal Checkup in Ethiopia - Implications for Child Health Services.

BackgroundHigh neonatal mortality rates continue to be a major public health issue in Ethiopia. Despite different maternal and neonatal care interventions, neonatal mortality in Ethiopia is at a steady state. This could be due to the low utilization of neonatal checkups. Thus, nationally assessing the level and predictors of postnatal checkups could provide important information for further improving neonatal healthcare services.Materials and MethodsA secondary data analysis of the 2016 Ethiopia Demographic and Health Survey (EDHS) was performed on 7,586 women who had live births in the 2 years before the survey. All variables with a p-value of ≤0.25 in the bivariable analysis were entered into the final model for multivariable analysis, and the level of statistical significance was declared at a P-value of <0.05.ResultsAccording to the national survey, only 8.3% [95% CI: 8.19, 8.41] of neonates received postnatal checkups. About two-thirds of women, 62.8% had antenatal care visits, 67.9%, gave birth at home, and 95.7% were unaware of neonatal danger signs. Distance from health care institutions [AOR = 1.42; 95% CI: 1.06, 1.89], giving birth in a healthcare facility [AOR = 1.55; 95% CI: 1.12, 2.15], antenatal care visit [AOR = 3.0; 95% CI: 1.99, 4.53], and neonatal danger signs awareness [AOR = 3.06; 95% CI: 2.09, 4.5] were all associated with postnatal care visits.ConclusionThe number of neonates who had a postnatal checkup was low. Increasing antenatal care visit utilization, improving institutional delivery, raising awareness about neonatal danger signs, increasing access to health care facilities, and implementing home-based neonatal care visits by healthcare providers could all help to improve postnatal checkups.

Incidence and Risk Factors of Neonatal Mortality in Eastern Ethiopia, A Prospective Cohort Study in Kersa Health and Demographic Surveillance System (Kersa HDSS)

Background: So far few studies were done to determine predictors of neonatal mortality in Ethiopia. This study was aimed to provide information on the incidence and risk factors of neonatal survival in Eastern Ethiopia from September, 2007 to August, 2012.&#x0D; Methods: The study uses data extracted from Kersa Health and Demographic Surveillance (Kersa HDSS) System database, which is located in the Oromiya Regional State, Eastern Ethiopia. The surveillance system is an open cohort, which was established in 2007. Data extraction includes all live births recorded in the system. The main outcome variable was the occurrence of death within 28 days after birth (neonatal death). The survival time was calculated in days using the time interval between the date of birth and date of event (death). Kaplan-Meier model and Cox-proportional hazard techniques were used to identify predictors of neonatal death.&#x0D; Results: The overall, Early and Late Neonatal Mortality Rate was 28.37, 19.55 and 8.82 per 1000 live births, respectively. A Neonatal Mortality Incidence Rate was 1 per 1000 (95% CI, 0.87-1.15) person days. Risk factors of neonatal survival include birth type (HR=5.40; 95% CI, 3.64-8.02), preterm birth (HR=11.17; 95% CI, 7.17-17.40), and previous infant sibling born (died HR=2.15; 95% CI, 1.39-3.33: no previous birth HR=1.78; 95% CI, 1.17-2.72).&#x0D; Conclusion: A significantly high level of neonatal mortality incidence rate was observed, which majority of the neonatal deaths were found to occur at early neonatal period. Therefore, efforts needs to be exerted in addressing the risk factors identified as predictors of neonatal mortality.

Predictors of Neonatal Mortality in Ethiopia: A Comprehensive Review of Follow-Up Studies.

Background Neonatal mortality remains a prominent public health problem in developing countries. Particularly, Ethiopia has a higher neonatal mortality rate than the average sub-Saharan African countries. Hereafter, this review article was aimed at synthesizing existing predictors of neonatal mortality in Ethiopia. Methods A systematic search and review of peer-reviewed articles were conducted on the predictors of neonatal mortality in Ethiopia. A search of key terms across different databases including Web of Science, SCOPUS, Cochrane Library, PubMed, EMBASE, Hinari, and Google Scholar was conducted, supplemented by reference screening. The SANRA tool was used to critically appraise studies included in the review. Results After removing duplicates and applying the eligibility criteria, 14 of the 64 initially identified articles were included in the final review. These were original articles published between 2011 and 2021. The identified predictors were narrated and presented under different domains. Accordingly, sociodemographic predictors such as residence, distance from the health facility, and maternal age; service delivery-related predictors such as no ANC follow-up, not taking iron-folic acid supplementation during pregnancy, and no PNC visit; neonate-related predictors such as low birth weight, extreme prematurity/preterm, and low APGAR score; pregnancy and childbirth-related predictors such as birth interval < 18 months, twin pregnancy, and time of rupture of membrane > 12 hours; and maternal-related predictors such as maternal HIV infection, maternal childbirth-related complications, and maternal near-miss were stated to increase a likelihood of newborn death in Ethiopia. Conclusion Public health interventions directed at decreasing neonatal mortality should address the rural residents, mothers not having ANC follow-up, low birth weight, twin pregnancy, and maternal HIV infection. The wealth of data gathered during primary research should not only lead to identification of predictors, but should also provide guidance for health system intervention strategies in a country aiming to reduce neonatal mortality.

Determinants of birth asphyxia among newborns in Northwest Ethiopia, 2019: case control study

IntroductionBirth asphyxia is a condition of impaired gas exchange in newborns when the Apgar score is < 7 in the first 5 min. It accounts 31.6% of all neonatal deaths, and the leading causes of neonatal mortality in Ethiopia. Identifying its determinant factors is very important to prevent the problem.Therefore, this study was aimed at identifying the determinant factors of birth asphyxia among newborns at Benishangul Gumuz region hospital. Methods and materialsThe hospital-based unmatched case-control study was done from March 04 to July 16, 2019 in Benishangul Gumuz Region Hospitals. Total sample size is 275 with 69 cases and 206 controls. Newborns with an Apgar score of less than 7 at 5 min were taken as cases, and those with greater or equal to 7 were taken as controls. All asphyxiated newborns were enrolled as cases, where as in every three-step non-asphyxiated newborns were taken as controls. The data was entered into Epi Info 7 and exported to SPSS for analysis. Bivariable logistic regression analysis was used. Those variables with a p-value <0.05 were identified as significant determinants of birth asphyxia. ResultsIn the current study, anemia during pregnancy [AOR = 2.95, 95% CI: (1.02, 8.54)], no ANC visit at all [AOR = 4.26, 95% CI: (1.23,14.7)], prolapsed cord [AOR = 4.52, 95% CI: (1.3, 21)], and low birth weight [AOR = 4.1, 95% CI: (1.11, 15.36] were all determinant factors for birth asphyxia. Conclusionand Recommendations: The identified determinants of birth asphyxia were anemia during pregnancy, no ANC visit at all, prolapsed cord, cesarean birth, and low birth weight.Based on our study, most of identified determinant factors of birth asphyxia were preventable so, policy makers, clinicians, and other stakeholders need to invest their maximum effort on prevention of birth asphyxia.

Embedding Community-Based Newborn Care in the Ethiopian health system: lessons from a 4-year programme evaluation.

Despite remarkable gains, improving neonatal survival globally remains slow paced. Innovative service-delivery packages have been developed for community health workers (CHWs) to maximize system efficiency and increase the reach of services. However, embedding these in health systems needs structural and procedural alignment. The Community-Based Newborn Care (CBNC) programme was a response to high neonatal mortality in Ethiopia. Key aspects include simplified treatment for neonatal illness, integrated outreach services and task-shifting. Using the CHW functionality model by WHO, this study evaluates the health system response to the programme, including quality of care. A before-and-after study was conducted with three survey time points: baseline (November 2013), midline (December 2015) and follow-up (December 2017—4 years after the programme started). Data were collected at a sample of primary healthcare facilities from 101 districts across four regions. Analysis took two perspectives: (1) health system response, through supplies, infrastructure support and supervision, assessed through interviews and observations at health facilities and (2) quality of care, through CHWs’ theoretical capacity to deliver services, as well as their performance, assessed through functional health literacy and direct observation of young infant case management. Results showed gains in services for young infants, with antibiotics and job aids available at over 90% of health centres. However, services at health posts remained inadequate in 2017. In terms of quality of care, only 37% of CHWs correctly diagnosed key conditions in sick young infants at midline. CHWs’ functional health literacy declined by over 70% in basic aspects of case management during the study. Although the frequency of quarterly supportive supervision visits was above 80% during 2013–2017, visits lacked support for managing sick young infants. Infrastructure and resources improved over the course of the CBNC programme implementation. However, embedding and scaling up the programme lacked the systems-thinking and attention to health system building-blocks needed to optimize service delivery.

Neonatal mortality and associated factors in Ethiopia: a cross-sectional population-based study

BackgroundThe neonatal period is the most critical time of human life for diseases. Neonatal morbidity and mortality are significant contributors to under-five morbidity and mortality in a low-income country like Ethiopia. Women are one of the key actors for the improvement of maternal, neonatal, and child healthcare utilization. However, there's no evidence on the association of women’s decision-making autonomy with neonate death at a national level in Ethiopia. Therefore, this study aimed to assess the neonatal mortality and associated factors in Ethiopia.MethodsA total of 5128 neonates born 5 years before the survey from the Ethiopian Demographic and Health Survey 2016 were reviewed. A multivariable logistic regression model was employed to assess the effect of women's autonomy and identify the determinate predictors of neonate death risk.ResultsThe rate of neonatal mortality in Ethiopia was 20.7 per 1000 live births). Women's hadn't autonomy in health care increase neonatal death by 2.72 times compared with those that had autonomy. Hadn't postnatal care was caused grown neonatal death by 5.48 times (AOR 5.48, 95% CI 1.29, 23.26). Delivering at a health institution had 0.61 times lowered neonatal death risk compared with delivering at of health institution without a health facility (AOR 0.61, 95% CI 0.38,0.97). Breastfeeding immediately within 1 h after birth had 0.17 times reduce neonatal death risk compared with not initiation of breastfeeding (AOR 0.17, 95% CI 0.12, 0.26). Women's gave birth single had 0.09 times reduced neonatal death risk than those that gave birth multiple (AOR 0.09, 95% CI 0.05, 0.18). Unknowingly, male neonates had a 1.84 times higher risk of death than females (AOR 1.84, 95% CI 1.20, 2.81).ConclusionsNeonatal mortality rate was significantly related to women's hadn't decided power on health care, hadn't postnatal care, delivered out of health institution, breastfed not immediately, and gave birth multiple. It is important to encourage mothers autonomy, use postnatal care service, and deliver in health institutions.

The burden of hyaline membrane disease, mortality and its determinant factors among preterm neonates admitted at Debre Tabor General Hospital, North Central Ethiopia: A retrospective follow up study.

BackgroundHyaline membrane disease (HMD) is a leading cause of morbidity and mortality in preterm newborn babies. Though, there are studies related to Hyaline membrane disease inclusive of all neonates, studies related to the burden among preterm neonates were limited. In addition, increasing neonatal mortality in Ethiopia could be related to increase in the burden of hyaline membrane disease among preterm neonates. Therefore, this study was aimed to assess the burden of hyaline membrane disease, mortality and its associated factors among preterm neonate admitted at neonatal intensive care unit, North Central Ethiopia.MethodologyAn institution-based retrospective follow-up study was conducted among 535 preterm neonates admitted at neonatal intensive care unit from January 1, 2014-December 30, 2017. Data were entered into EPi-data 4.2.0.0 and transferred to STATA version 14 statistical software for statistical analysis. Binary logistic regression was used for the analysis. All variables with P-value < 0.25 during bi-variable analysis were considered for multivariable logistic regression. Level of statistical significance was declared at P value ≤0.05.ResultsIn the current study, proportion of hyaline membrane disease was 40% (95% CI; 35.8, 44.3) of which 49.5% died. Preterm neonate born with Gestational age of less than 34 weeks of age (Adjusted odd ratio (AOR = 2.64; 95 CI: 1.49, 4.66)), 5th minute Apgar score less than 7 (AOR = 2.2; 95% CI: 1.20, 4.07), and newborn with birth weight of less than 1500 gram (AOR = 2.4, 95% CI: 1.3, 4.3) were predictors of hyaline membrane disease.ConclusionsThe mean gestational age (±) was 33.46 (±2.55) weeks. The incidence of hyaline membrane disease among preterm admissions was high. Preterm neonate born with gestational age of less than 34 weeks of age, asphyxiated newborns and newborn with birth weight of less than 1500 gram were predictors of hyaline membrane disease. So, emphasis should be given on early screening, follow up and timely interventions for preterm neonate.