TEEBENY ZULU, Choolwe Jacobs, Godfrey Biemba, Patrick Musonda
{"title":"撒哈拉以南非洲新生儿早期死亡率及其预测因素:系统回顾与元分析》。","authors":"TEEBENY ZULU, Choolwe Jacobs, Godfrey Biemba, Patrick Musonda","doi":"10.1101/2024.08.06.24311554","DOIUrl":null,"url":null,"abstract":"Background: Although early neonatal mortality (ENM) has been reported to have a greater contribution to the overall neonatal mortality compared to late neonatal mortality, no meta-analysis has studied this phenomenon in isolation. The prevalence of ENM and its predictors in sub-Saharan Africa (SSA) remains unknown. Therefore, this meta-analysis is aimed at pooling the prevalence of ENM and its predictors in SSA.\nMethods: Google Scholar, PubMed, Scopus, CINAHL, and Google were searched for studies conducted in SSA that reported the prevalence and predictors of ENM. The data were extracted using a Microsoft Excel spreadsheet and imported into R version 4.4.1 for further analysis. Publication bias, heterogeneity, sensitivity analysis, and subgroup analysis were performed. Prevalence and odds ratios were pooled using the random effects model if significant heterogeneity existed; otherwise, the fixed effects model was used. Results: A total of 26 studies were included in this systematic review and meta-analysis. The overall pooled prevalence of ENM in SSA was 11% (95% CI: 7-15; I2=100%). Birth asphyxia (OR=3.85; 95% CI: 1.12-13.21; P = 0.0388; I2= 86.6%), home delivery (OR=2.46; 95% CI: 1.79-3.38; p<0.001; I2 = 0.0%), prematurity (OR=4.69; 95% CI: 3.57-6.16; p<0.001; I2 = 36.8%), male gender (OR= 1.37; 95% CI: 1.28-1.46; P < 0.001; I2 = 30.7%), delivery through caesarean section (OR=1.74; 95% CI: 1.49-2.02; P < 0.001; I2 = 31.5%) and low birth weight (OR=3.00; 95% CI: 1.01-8.91; P = 0.0482; I2 = 94.4%) were associated with a significant increase in pooled odds of ENM in SSA.\nConclusion: The prevalence of ENM in SSA in significantly high and it contributes greatly to the overall neonatal mortality. Therefore, tailor-made interventions that target the reduction of birth asphyxia, prematurity, home delivery, and low birth weight should be implemented in order to reduce the burden of ENM in SSA.","PeriodicalId":501549,"journal":{"name":"medRxiv - Pediatrics","volume":"44 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prevalence of early neonatal mortality and its predictors in sub-Saharan Africa: A Systematic review and Meta-Analysis.\",\"authors\":\"TEEBENY ZULU, Choolwe Jacobs, Godfrey Biemba, Patrick Musonda\",\"doi\":\"10.1101/2024.08.06.24311554\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Although early neonatal mortality (ENM) has been reported to have a greater contribution to the overall neonatal mortality compared to late neonatal mortality, no meta-analysis has studied this phenomenon in isolation. The prevalence of ENM and its predictors in sub-Saharan Africa (SSA) remains unknown. Therefore, this meta-analysis is aimed at pooling the prevalence of ENM and its predictors in SSA.\\nMethods: Google Scholar, PubMed, Scopus, CINAHL, and Google were searched for studies conducted in SSA that reported the prevalence and predictors of ENM. The data were extracted using a Microsoft Excel spreadsheet and imported into R version 4.4.1 for further analysis. Publication bias, heterogeneity, sensitivity analysis, and subgroup analysis were performed. Prevalence and odds ratios were pooled using the random effects model if significant heterogeneity existed; otherwise, the fixed effects model was used. Results: A total of 26 studies were included in this systematic review and meta-analysis. The overall pooled prevalence of ENM in SSA was 11% (95% CI: 7-15; I2=100%). Birth asphyxia (OR=3.85; 95% CI: 1.12-13.21; P = 0.0388; I2= 86.6%), home delivery (OR=2.46; 95% CI: 1.79-3.38; p<0.001; I2 = 0.0%), prematurity (OR=4.69; 95% CI: 3.57-6.16; p<0.001; I2 = 36.8%), male gender (OR= 1.37; 95% CI: 1.28-1.46; P < 0.001; I2 = 30.7%), delivery through caesarean section (OR=1.74; 95% CI: 1.49-2.02; P < 0.001; I2 = 31.5%) and low birth weight (OR=3.00; 95% CI: 1.01-8.91; P = 0.0482; I2 = 94.4%) were associated with a significant increase in pooled odds of ENM in SSA.\\nConclusion: The prevalence of ENM in SSA in significantly high and it contributes greatly to the overall neonatal mortality. Therefore, tailor-made interventions that target the reduction of birth asphyxia, prematurity, home delivery, and low birth weight should be implemented in order to reduce the burden of ENM in SSA.\",\"PeriodicalId\":501549,\"journal\":{\"name\":\"medRxiv - Pediatrics\",\"volume\":\"44 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Pediatrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.08.06.24311554\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Pediatrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.06.24311554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prevalence of early neonatal mortality and its predictors in sub-Saharan Africa: A Systematic review and Meta-Analysis.
Background: Although early neonatal mortality (ENM) has been reported to have a greater contribution to the overall neonatal mortality compared to late neonatal mortality, no meta-analysis has studied this phenomenon in isolation. The prevalence of ENM and its predictors in sub-Saharan Africa (SSA) remains unknown. Therefore, this meta-analysis is aimed at pooling the prevalence of ENM and its predictors in SSA.
Methods: Google Scholar, PubMed, Scopus, CINAHL, and Google were searched for studies conducted in SSA that reported the prevalence and predictors of ENM. The data were extracted using a Microsoft Excel spreadsheet and imported into R version 4.4.1 for further analysis. Publication bias, heterogeneity, sensitivity analysis, and subgroup analysis were performed. Prevalence and odds ratios were pooled using the random effects model if significant heterogeneity existed; otherwise, the fixed effects model was used. Results: A total of 26 studies were included in this systematic review and meta-analysis. The overall pooled prevalence of ENM in SSA was 11% (95% CI: 7-15; I2=100%). Birth asphyxia (OR=3.85; 95% CI: 1.12-13.21; P = 0.0388; I2= 86.6%), home delivery (OR=2.46; 95% CI: 1.79-3.38; p<0.001; I2 = 0.0%), prematurity (OR=4.69; 95% CI: 3.57-6.16; p<0.001; I2 = 36.8%), male gender (OR= 1.37; 95% CI: 1.28-1.46; P < 0.001; I2 = 30.7%), delivery through caesarean section (OR=1.74; 95% CI: 1.49-2.02; P < 0.001; I2 = 31.5%) and low birth weight (OR=3.00; 95% CI: 1.01-8.91; P = 0.0482; I2 = 94.4%) were associated with a significant increase in pooled odds of ENM in SSA.
Conclusion: The prevalence of ENM in SSA in significantly high and it contributes greatly to the overall neonatal mortality. Therefore, tailor-made interventions that target the reduction of birth asphyxia, prematurity, home delivery, and low birth weight should be implemented in order to reduce the burden of ENM in SSA.