The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-Analysis
Background. Although neonatal death is a global burden, it is the highest in sub-Saharan African countries such as Ethiopia. Moreover, there is disparity in the prevalence and associated factors of studies. Therefore, this study was aimed at providing pooled national prevalence and predictors of neo...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | International Journal of Pediatrics |
| Online Access: | http://dx.doi.org/10.1155/2021/7478108 |
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| author | Yared Asmare Aynalem Wondimeneh Shibabaw Shiferaw Tadesse Yirga Akalu Abate Dargie Hilina Ketema Assefa Tesfa Dejenie Habtewold |
| author_facet | Yared Asmare Aynalem Wondimeneh Shibabaw Shiferaw Tadesse Yirga Akalu Abate Dargie Hilina Ketema Assefa Tesfa Dejenie Habtewold |
| author_sort | Yared Asmare Aynalem |
| collection | DOAJ |
| description | Background. Although neonatal death is a global burden, it is the highest in sub-Saharan African countries such as Ethiopia. Moreover, there is disparity in the prevalence and associated factors of studies. Therefore, this study was aimed at providing pooled national prevalence and predictors of neonatal mortality in Ethiopia. Methods. The following databases were systematically explored to search for articles: Boolean operator, Cochrane Library, PubMed, EMBASE, Hinari, and Google Scholar. Selection, screening, reviewing, and data extraction were done by two reviewers independently using Microsoft Excel spreadsheet. The modified Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute Prevalence Critical Appraisal tools were used to assess the quality of evidence. All studies conducted in Ethiopia and reporting the prevalence and predictors of neonatal mortality were included. Data were extracted using Microsoft Excel spreadsheet software and imported into Stata version 14s for further analysis. Publication bias was checked using funnel plots and Egger’s and Begg’s tests. Heterogeneity was also checked by Higgins’s method. A random effects meta-analysis model with 95% confidence interval 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 was done. Results. After reviewing 88 studies, 12 studies fulfilled the inclusion criteria and were included in the meta-analysis. Pooled national prevalence of neonatal mortality in Ethiopia was 16.3% (95% CI: 12.1, 20.6, I2=98.8%). The subgroup analysis indicated that the highest prevalence was observed in the Amhara region, 20.3% (95% CI: 9.6, 31.1), followed by Oromia, 18.8% (95% CI: 11.9, 49.4). Gestational age [AOR: 1.32 (95% CI: 1.07, 1.58)], neonatal sepsis [AOR: 1.23 (95% CI: 1.05, 1.4)], respiratory distress syndromes (RDS) [AOR: 1.18 (95% CI: 0.87, 1.49)], and place of residency [AOR: 1.93 (95% CI: 1.13, 2.73)] were the most important predictors. Conclusions. Neonatal mortality in Ethiopia was significantly decreased. There was evidence that neonatal sepsis, gestational age, and place of residency were the significant predictors. RDS were also a main predictor of mortality even if not statistically significant. We strongly recommended that health care workers should give a priority for preterm neonates with diagnosis with sepsis and RDS. |
| format | Article |
| id | doaj-art-80cb2da4293c4d54aedf9fce12122bcc |
| institution | OA Journals |
| issn | 1687-9740 1687-9759 |
| language | English |
| publishDate | 2021-01-01 |
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| series | International Journal of Pediatrics |
| spelling | doaj-art-80cb2da4293c4d54aedf9fce12122bcc2025-08-20T02:08:49ZengWileyInternational Journal of Pediatrics1687-97401687-97592021-01-01202110.1155/2021/74781087478108The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-AnalysisYared Asmare Aynalem0Wondimeneh Shibabaw Shiferaw1Tadesse Yirga Akalu2Abate Dargie3Hilina Ketema Assefa4Tesfa Dejenie Habtewold5College of Health Science, Debre Berhan University, Debre Berhan, EthiopiaCollege of Health Science, Debre Berhan University, Debre Berhan, EthiopiaCollege of Health Science, Debre Markos University, Debre Markos, EthiopiaCollege of Health Science, Debre Berhan University, Debre Berhan, EthiopiaCollege of Health Science, Debre Berhan University, Debre Berhan, EthiopiaCollege of Health Science, Debre Berhan University, Debre Berhan, EthiopiaBackground. Although neonatal death is a global burden, it is the highest in sub-Saharan African countries such as Ethiopia. Moreover, there is disparity in the prevalence and associated factors of studies. Therefore, this study was aimed at providing pooled national prevalence and predictors of neonatal mortality in Ethiopia. Methods. The following databases were systematically explored to search for articles: Boolean operator, Cochrane Library, PubMed, EMBASE, Hinari, and Google Scholar. Selection, screening, reviewing, and data extraction were done by two reviewers independently using Microsoft Excel spreadsheet. The modified Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute Prevalence Critical Appraisal tools were used to assess the quality of evidence. All studies conducted in Ethiopia and reporting the prevalence and predictors of neonatal mortality were included. Data were extracted using Microsoft Excel spreadsheet software and imported into Stata version 14s for further analysis. Publication bias was checked using funnel plots and Egger’s and Begg’s tests. Heterogeneity was also checked by Higgins’s method. A random effects meta-analysis model with 95% confidence interval 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 was done. Results. After reviewing 88 studies, 12 studies fulfilled the inclusion criteria and were included in the meta-analysis. Pooled national prevalence of neonatal mortality in Ethiopia was 16.3% (95% CI: 12.1, 20.6, I2=98.8%). The subgroup analysis indicated that the highest prevalence was observed in the Amhara region, 20.3% (95% CI: 9.6, 31.1), followed by Oromia, 18.8% (95% CI: 11.9, 49.4). Gestational age [AOR: 1.32 (95% CI: 1.07, 1.58)], neonatal sepsis [AOR: 1.23 (95% CI: 1.05, 1.4)], respiratory distress syndromes (RDS) [AOR: 1.18 (95% CI: 0.87, 1.49)], and place of residency [AOR: 1.93 (95% CI: 1.13, 2.73)] were the most important predictors. Conclusions. Neonatal mortality in Ethiopia was significantly decreased. There was evidence that neonatal sepsis, gestational age, and place of residency were the significant predictors. RDS were also a main predictor of mortality even if not statistically significant. We strongly recommended that health care workers should give a priority for preterm neonates with diagnosis with sepsis and RDS.http://dx.doi.org/10.1155/2021/7478108 |
| spellingShingle | Yared Asmare Aynalem Wondimeneh Shibabaw Shiferaw Tadesse Yirga Akalu Abate Dargie Hilina Ketema Assefa Tesfa Dejenie Habtewold The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-Analysis International Journal of Pediatrics |
| title | The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-Analysis |
| title_full | The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-Analysis |
| title_fullStr | The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-Analysis |
| title_full_unstemmed | The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-Analysis |
| title_short | The Magnitude of Neonatal Mortality and Its Predictors in Ethiopia: A Systematic Review and Meta-Analysis |
| title_sort | magnitude of neonatal mortality and its predictors in ethiopia a systematic review and meta analysis |
| url | http://dx.doi.org/10.1155/2021/7478108 |
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