Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis
Background. Neonatal mortality in Sub-Saharan countries is remarkably high. Though there are inconsistent studies about the incidence density rate of neonatal mortalities (IDR) and predictors in Sub-Saharan Africa, they are inconclusive to policymakers and program planners. In this study, the IDR of...
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2020-01-01
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Series: | International Journal of Pediatrics |
Online Access: | http://dx.doi.org/10.1155/2020/3894026 |
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author | Zebenay Workneh Bitew Ayinalem Alemu Ermias Getaneh Ayele Desalegn Abebaw Jember Michael Tamene Haile Teshager Worku |
author_facet | Zebenay Workneh Bitew Ayinalem Alemu Ermias Getaneh Ayele Desalegn Abebaw Jember Michael Tamene Haile Teshager Worku |
author_sort | Zebenay Workneh Bitew |
collection | DOAJ |
description | Background. Neonatal mortality in Sub-Saharan countries is remarkably high. Though there are inconsistent studies about the incidence density rate of neonatal mortalities (IDR) and predictors in Sub-Saharan Africa, they are inconclusive to policymakers and program planners. In this study, the IDR of neonatal mortalities and predictors was determined. Methods. Electronic databases (Web of Science, PubMed, EMBASE (Elsevier), Scopus, CINAHL (EBSCOhost), World Cat, Google Scholar, and Google) were explored. 20 out of 818 studies were included in this study. The IDRs and predictors of neonatal mortality were computed from studies conducted in survival analysis. Fixed and random effect models were used to compute pooled estimates. Subgroup and sensitivity analyses were performed. Results. Neonates were followed for a total of 1,095,611 neonate-days; 67142 neonate-days for neonates treated in neonatal intensive care units and 1,028,469 neonate-days for community-based studies. The IDRs of neonatal mortalities in neonatal intensive care units and in the community were 24.53 and 1.21 per 1000 person-days, respectively. The IDRs of early and late neonatal mortalities neonatal intensive care units were 22.51 and 5.09 per 1000 neonate-days, respectively. Likewise, the IDRs of early and late neonatal mortalities in the community were 0.85 and 0.31, respectively. Not initiating breastfeeding within one hour, multiple births, rural residence, maternal illness, low Apgar score, being preterm, sepsis, asphyxia, and respiratory distress syndrome were independent predictors of time to neonatal mortality in neonatal intensive care units and male gender, perceived small size, multiple births, and ANC were predictors of neonatal mortality in the community. Conclusion. The incidence density rate of neonatal mortality in Sub-Saharan Africa is significantly high. Multiple factors (neonatal and maternal) were found to be independent predictors. Strategies must be designed to address these predictors, and prospective studies could reveal other possible factors of neonatal mortalities. |
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institution | Kabale University |
issn | 1687-9740 1687-9759 |
language | English |
publishDate | 2020-01-01 |
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series | International Journal of Pediatrics |
spelling | doaj-art-10ee4318522241feb5988f0e7bf778142025-02-03T06:00:49ZengWileyInternational Journal of Pediatrics1687-97401687-97592020-01-01202010.1155/2020/38940263894026Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-AnalysisZebenay Workneh Bitew0Ayinalem Alemu1Ermias Getaneh Ayele2Desalegn Abebaw Jember3Michael Tamene Haile4Teshager Worku5St. Paul’s Hospital Millennium Medical College, Nursing Education Directorate, Addis Ababa, EthiopiaEthiopian Public Health Institute, Addis Ababa, EthiopiaSt. Paul’s Hospital Millennium Medical College, Nursing Education Directorate, Addis Ababa, EthiopiaSt. Paul’s Hospital Millennium Medical College, Nursing Education Directorate, Addis Ababa, EthiopiaSt. Paul’s Hospital Millennium Medical College, Nursing Education Directorate, Addis Ababa, EthiopiaCollege of Health and Medical Sciences, School of Nursing and Midwifery, Haramaya University, Harar, EthiopiaBackground. Neonatal mortality in Sub-Saharan countries is remarkably high. Though there are inconsistent studies about the incidence density rate of neonatal mortalities (IDR) and predictors in Sub-Saharan Africa, they are inconclusive to policymakers and program planners. In this study, the IDR of neonatal mortalities and predictors was determined. Methods. Electronic databases (Web of Science, PubMed, EMBASE (Elsevier), Scopus, CINAHL (EBSCOhost), World Cat, Google Scholar, and Google) were explored. 20 out of 818 studies were included in this study. The IDRs and predictors of neonatal mortality were computed from studies conducted in survival analysis. Fixed and random effect models were used to compute pooled estimates. Subgroup and sensitivity analyses were performed. Results. Neonates were followed for a total of 1,095,611 neonate-days; 67142 neonate-days for neonates treated in neonatal intensive care units and 1,028,469 neonate-days for community-based studies. The IDRs of neonatal mortalities in neonatal intensive care units and in the community were 24.53 and 1.21 per 1000 person-days, respectively. The IDRs of early and late neonatal mortalities neonatal intensive care units were 22.51 and 5.09 per 1000 neonate-days, respectively. Likewise, the IDRs of early and late neonatal mortalities in the community were 0.85 and 0.31, respectively. Not initiating breastfeeding within one hour, multiple births, rural residence, maternal illness, low Apgar score, being preterm, sepsis, asphyxia, and respiratory distress syndrome were independent predictors of time to neonatal mortality in neonatal intensive care units and male gender, perceived small size, multiple births, and ANC were predictors of neonatal mortality in the community. Conclusion. The incidence density rate of neonatal mortality in Sub-Saharan Africa is significantly high. Multiple factors (neonatal and maternal) were found to be independent predictors. Strategies must be designed to address these predictors, and prospective studies could reveal other possible factors of neonatal mortalities.http://dx.doi.org/10.1155/2020/3894026 |
spellingShingle | Zebenay Workneh Bitew Ayinalem Alemu Ermias Getaneh Ayele Desalegn Abebaw Jember Michael Tamene Haile Teshager Worku Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis International Journal of Pediatrics |
title | Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis |
title_full | Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis |
title_fullStr | Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis |
title_full_unstemmed | Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis |
title_short | Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis |
title_sort | incidence density rate of neonatal mortality and predictors in sub saharan africa a systematic review and meta analysis |
url | http://dx.doi.org/10.1155/2020/3894026 |
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