{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T19:56:55Z","timestamp":1790279815653,"version":"4.1.0"},"reference-count":57,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T00:00:00Z","timestamp":1602720000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["International Journal of Pediatrics"],"published-print":{"date-parts":[[2020,10,15]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.1155\/2020\/3894026","type":"journal-article","created":{"date-parts":[[2020,10,18]],"date-time":"2020-10-18T02:20:10Z","timestamp":1602987610000},"page":"1-14","source":"Crossref","is-referenced-by-count":23,"title":["Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5695-3896","authenticated-orcid":true,"given":"Zebenay Workneh","family":"Bitew","sequence":"first","affiliation":[{"name":"St. Paul\u2019s Hospital Millennium Medical College, Nursing Education Directorate, Addis Ababa, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ayinalem","family":"Alemu","sequence":"additional","affiliation":[{"name":"Ethiopian Public Health Institute, Addis Ababa, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ermias Getaneh","family":"Ayele","sequence":"additional","affiliation":[{"name":"St. Paul\u2019s Hospital Millennium Medical College, Nursing Education Directorate, Addis Ababa, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Desalegn Abebaw","family":"Jember","sequence":"additional","affiliation":[{"name":"St. Paul\u2019s Hospital Millennium Medical College, Nursing Education Directorate, Addis Ababa, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael Tamene","family":"Haile","sequence":"additional","affiliation":[{"name":"St. Paul\u2019s Hospital Millennium Medical College, Nursing Education Directorate, Addis Ababa, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Teshager","family":"Worku","sequence":"additional","affiliation":[{"name":"College of Health and Medical Sciences, School of Nursing and Midwifery, Haramaya University, Harar, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1515\/JPM.2003.057"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1038\/jp.2016.27"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.4103\/2224-3151.207020"},{"key":"4","volume-title":"Levels & trends in child mortality: report 2017, Estimates developed by the UN Inter-Agency Group for child mortality estimation","author":"IGME U","year":"2017"},{"key":"5","volume-title":"<SOWC-Statistical-Tables-2017.pdf>","author":"UNICEF","year":"2018"},{"key":"6","volume-title":"Levels & trends in child mortality: estimates developed by the UN Interagency Group for child mortality estimation. 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