Predictors of Neonatal Sepsis in Hospitals at Wolaita Sodo Town, Southern Ethiopia: Institution-Based Unmatched Case-Control Study, 2019
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...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | International Journal of Pediatrics |
Online Access: | http://dx.doi.org/10.1155/2020/3709672 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832546949541134336 |
---|---|
author | Atkuregn Alemayehu Mihiretu Alemayehu Aseb Arba Hanna Abebe Abraham Goa Kebreab Paulos Mohammed Suleiman Obsa |
author_facet | Atkuregn Alemayehu Mihiretu Alemayehu Aseb Arba Hanna Abebe Abraham Goa Kebreab Paulos Mohammed Suleiman Obsa |
author_sort | Atkuregn Alemayehu |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-7070505b71c64e6d99bf980d1a9df060 |
institution | Kabale University |
issn | 1687-9740 1687-9759 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Pediatrics |
spelling | doaj-art-7070505b71c64e6d99bf980d1a9df0602025-02-03T06:46:27ZengWileyInternational Journal of Pediatrics1687-97401687-97592020-01-01202010.1155/2020/37096723709672Predictors of Neonatal Sepsis in Hospitals at Wolaita Sodo Town, Southern Ethiopia: Institution-Based Unmatched Case-Control Study, 2019Atkuregn Alemayehu0Mihiretu Alemayehu1Aseb Arba2Hanna Abebe3Abraham Goa4Kebreab Paulos5Mohammed Suleiman Obsa6Wolaita Sodo University, College of Medicine and Health Sciences, Institutional Quality Assurance, EthiopiaWolaita Sodo University, College of Medicine and Health Sciences, School of Public Health, EthiopiaWolaita Sodo University, College of Medicine and Health Sciences, School of Nursing, EthiopiaWolaita Sodo University, College of Medicine and Health Sciences, Institutional Quality Assurance, EthiopiaWolaita Sodo University, College of Medicine and Health Sciences, Institutional Quality Assurance, EthiopiaWolaita Sodo University, College of Medicine and Health Sciences, School of Midwifery, EthiopiaWolaita Sodo University, College of Medicine and Health Sciences, School of Anesthesia, EthiopiaBackground. 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.http://dx.doi.org/10.1155/2020/3709672 |
spellingShingle | Atkuregn Alemayehu Mihiretu Alemayehu Aseb Arba Hanna Abebe Abraham Goa Kebreab Paulos Mohammed Suleiman Obsa Predictors of Neonatal Sepsis in Hospitals at Wolaita Sodo Town, Southern Ethiopia: Institution-Based Unmatched Case-Control Study, 2019 International Journal of Pediatrics |
title | Predictors of Neonatal Sepsis in Hospitals at Wolaita Sodo Town, Southern Ethiopia: Institution-Based Unmatched Case-Control Study, 2019 |
title_full | Predictors of Neonatal Sepsis in Hospitals at Wolaita Sodo Town, Southern Ethiopia: Institution-Based Unmatched Case-Control Study, 2019 |
title_fullStr | Predictors of Neonatal Sepsis in Hospitals at Wolaita Sodo Town, Southern Ethiopia: Institution-Based Unmatched Case-Control Study, 2019 |
title_full_unstemmed | Predictors of Neonatal Sepsis in Hospitals at Wolaita Sodo Town, Southern Ethiopia: Institution-Based Unmatched Case-Control Study, 2019 |
title_short | Predictors of Neonatal Sepsis in Hospitals at Wolaita Sodo Town, Southern Ethiopia: Institution-Based Unmatched Case-Control Study, 2019 |
title_sort | predictors of neonatal sepsis in hospitals at wolaita sodo town southern ethiopia institution based unmatched case control study 2019 |
url | http://dx.doi.org/10.1155/2020/3709672 |
work_keys_str_mv | AT atkuregnalemayehu predictorsofneonatalsepsisinhospitalsatwolaitasodotownsouthernethiopiainstitutionbasedunmatchedcasecontrolstudy2019 AT mihiretualemayehu predictorsofneonatalsepsisinhospitalsatwolaitasodotownsouthernethiopiainstitutionbasedunmatchedcasecontrolstudy2019 AT asebarba predictorsofneonatalsepsisinhospitalsatwolaitasodotownsouthernethiopiainstitutionbasedunmatchedcasecontrolstudy2019 AT hannaabebe predictorsofneonatalsepsisinhospitalsatwolaitasodotownsouthernethiopiainstitutionbasedunmatchedcasecontrolstudy2019 AT abrahamgoa predictorsofneonatalsepsisinhospitalsatwolaitasodotownsouthernethiopiainstitutionbasedunmatchedcasecontrolstudy2019 AT kebreabpaulos predictorsofneonatalsepsisinhospitalsatwolaitasodotownsouthernethiopiainstitutionbasedunmatchedcasecontrolstudy2019 AT mohammedsuleimanobsa predictorsofneonatalsepsisinhospitalsatwolaitasodotownsouthernethiopiainstitutionbasedunmatchedcasecontrolstudy2019 |