Abstract
AbstractsBackgroundAlthough neonatal death is a global burden, it is the highest in Sub Saharan Africa countries such as Ethiopia. This study was aimed to provide pooled national prevalence and predictors of neonatal mortality in Ethiopia.ObjectiveTo assess the pooled prevalence and predictors of neonatal mortality in Ethiopia.Search Strategyglobal databases were systematically explored. Systematically searched using the following databases: Boolean operator, Cochrane library, PubMed, EMBASE, HINARI, and Google Scholar. Selection, screening, reviewing and data extraction was done by two reviewers independently using Microsoft excel spread sheet. The modified Newcastle–Ottawa Scale (NOS) and the Joanna Briggs Institute Prevalence Critical Appraisal tools were used to assess the quality of evidenceSelection criteriaAll studies conducted in Ethiopia and reporting the prevalence and predictors of neonatal mortality were includedData Collection and AnalysisData were extracted using a Microsoft Excel spreadsheet software and imported into STATA Version 14 s for further analysis. The pooled effect size with 95% confidence interval of neonatal mortality rate was determined using a weighted inverse variance random-effects model. Publication bias was checked using funnel plots, Egger’s and bagger’s regression test. Heterogeneity also checked by Higgins’s method. A random effects meta-analysis model was computed to estimate the pooled effect size (i.e. prevalence and odds ratio). Moreover, subgroup analysis based on region, sample size and study design were done.ResultsAfter reviewing 88 studies, 12 studies fulfilled the inclusion criteria and were included in the meta-analysis. The pooled national prevalence of neonatal mortality in Ethiopia was 16.3% (95% CI: 11.9, 20.7, I2 =88.6%). The subgroup analysis indicated that the highest prevalence was observed in Amhara region with a prevalence of 20.3% (95% CI: 9.6, 31.1, I2 =98.8) followed by Oromia, 18.8% (95%CI: 11.9,49.4, I2=99.5). Gestational age AOR,1.14 (95% CI: 0.94, 1.3), neonatal sepsis (OR:1.2(95% CI: 0.8, 1.5), respiratory distros (OR: 1.2(95% CI: 0.8, 1.5) and place of residency (OR:1.93 (95% CI:1.1,2.7) were the most important predictor.Conclusionsneonatal mortality in Ethiopia was significantly decreased than the national report. There was evidence that neonatal sepsis, gestational age, respiratory distress were the significant predictors. We strongly recommended that health care workers should give a priority for the identified predictors.
Publisher
Cold Spring Harbor Laboratory
Reference57 articles.
1. RECOMMENDED DEFINITIONS, TERMINOLOGY AND FORMAT FOR STATISTICAL TABLES RELATED TO THE PERINATAL PERIOD AND USE OF A NEW CERTIFICATE FOR CAUSE OF PERINATAL DEATHS: Modifications Recommended by FIGO as Amended October 14,1976;WHO;Acta Dbstet Oynecoi Scand,1977
2. Robert M. Kliegman BFS , oseph W. St Geme III , Nina F. Schor , Richard E. Behrman .Nelsontextbook of pediatrics.20th. ed. Canada: Robert M. Kliegma ; © 2016.Chapter 93, Overview of Mortality and Morbidity; p. 789–793.
3. You D , Hug L , Ejdemyr S , Beise J : Levels and trends in child mortality. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (IGME). Report 2015. 2015.
4. Mortality and Neonatal Morbidity Among Infants 501 to 1500 Grams From 2000 to 2009
5. Central Statistical Agency (CSA) [Ethiopia] and ICF. 2016. Ethiopia Demographic and Health Survey 2016. Addis Ababa, Ethiopia, and Rockville, Maryland, USA: CSA and ICF.