Atkuregn Alemayehu1, Mihiretu Alemayehu2, Aseb Arba3, Hanna Abebe1, Abraham Goa1, Kebreab Paulos4, Mohammed Suleiman Obsa5. 1. Wolaita Sodo University, College of Medicine and Health Sciences, Institutional Quality Assurance, Ethiopia. 2. Wolaita Sodo University, College of Medicine and Health Sciences, School of Public Health, Ethiopia. 3. Wolaita Sodo University, College of Medicine and Health Sciences, School of Nursing, Ethiopia. 4. Wolaita Sodo University, College of Medicine and Health Sciences, School of Midwifery, Ethiopia. 5. Wolaita Sodo University, College of Medicine and Health Sciences, School of Anesthesia, Ethiopia.
Abstract
BACKGROUND: Neonatal sepsis plays a significant role in neonates' mortality in developing countries accounting for 30-50% of total deaths each year. Gaining insight into neonatal sepsis predictors will provide an opportunity for the stakeholders to reduce the causes of neonatal sepsis. This research is aimed at determining the predictors of neonatal sepsis at Wolaita Sodo University Teaching Referral Hospital and Sodo Christian General Hospital, Ethiopia, April-July 2019. METHOD: This study employed an institution-based unmatched case-control study by selecting neonates in selected hospitals through consecutive sampling technique. The cases of this study are neonates diagnosed with sepsis. The study used a pretested structured questionnaire for a face-to-face interview to collect data from index mothers. Besides, the review of the record was done using checklists. The data were entered into EpiData version 3.1 and exported to Statistical Package for the Social Sciences version 24.0 for analysis. The study used descriptive, bivariate, and multivariate analyses. The odds ratio with 95% confidence interval was used to measure the association's strength. p < 0.05 was the cut-off point for declaration of statistical significance for the multivariate analysis. RESULTS: Factors significantly associated with neonatal sepsis among neonates were maternal age of 15-20 years and 21-30 years, mothers with low income/wealth, history of urinary tract infections/sexually transmitted infections, presence of intrapartum infections, antenatal care follow-up < 3 visits, Apgar (Appearance, Pulse, Grimace, Activity, and Respiration) score < 7, low birth weight, and the time in which breastfeeding started after delivery < 60 minutes. CONCLUSION: Maternal age, wealth/income, maternal urinary tract infections/sexually transmitted infections, intrapartum fever, antenatal care visit ≤ 3 times, Apgar score < 7, low birth weight, and starting time of breastfeeding were independent predictors of neonatal sepsis. Therefore, maternal health education during antenatal care visits, perinatal and newborn care, and early initiation of breastfeeding might decrease neonatal mortality and morbidity due to sepsis.
BACKGROUND: Neonatal sepsis plays a significant role in neonates' mortality in developing countries accounting for 30-50% of total deaths each year. Gaining insight into neonatal sepsis predictors will provide an opportunity for the stakeholders to reduce the causes of neonatal sepsis. This research is aimed at determining the predictors of neonatal sepsis at Wolaita Sodo University Teaching Referral Hospital and Sodo Christian General Hospital, Ethiopia, April-July 2019. METHOD: This study employed an institution-based unmatched case-control study by selecting neonates in selected hospitals through consecutive sampling technique. The cases of this study are neonates diagnosed with sepsis. The study used a pretested structured questionnaire for a face-to-face interview to collect data from index mothers. Besides, the review of the record was done using checklists. The data were entered into EpiData version 3.1 and exported to Statistical Package for the Social Sciences version 24.0 for analysis. The study used descriptive, bivariate, and multivariate analyses. The odds ratio with 95% confidence interval was used to measure the association's strength. p < 0.05 was the cut-off point for declaration of statistical significance for the multivariate analysis. RESULTS: Factors significantly associated with neonatal sepsis among neonates were maternal age of 15-20 years and 21-30 years, mothers with low income/wealth, history of urinary tract infections/sexually transmitted infections, presence of intrapartum infections, antenatal care follow-up < 3 visits, Apgar (Appearance, Pulse, Grimace, Activity, and Respiration) score < 7, low birth weight, and the time in which breastfeeding started after delivery < 60 minutes. CONCLUSION: Maternal age, wealth/income, maternal urinary tract infections/sexually transmitted infections, intrapartum fever, antenatal care visit ≤ 3 times, Apgar score < 7, low birth weight, and starting time of breastfeeding were independent predictors of neonatal sepsis. Therefore, maternal health education during antenatal care visits, perinatal and newborn care, and early initiation of breastfeeding might decrease neonatal mortality and morbidity due to sepsis.
Authors: Marie E Wang; Archana B Patel; Nellie I Hansen; Lauren Arlington; Amber Prakash; Patricia L Hibberd Journal: BMC Public Health Date: 2016-10-19 Impact factor: 3.295
Authors: Li Liu; Shefali Oza; Dan Hogan; Yue Chu; Jamie Perin; Jun Zhu; Joy E Lawn; Simon Cousens; Colin Mathers; Robert E Black Journal: Lancet Date: 2016-11-11 Impact factor: 79.321