Predictors of Neonatal Sepsis in Hospitals at Wolaita Sodo Town, Southern Ethiopia: Institution-Based Unmatched Case-Control Study, 2019

被引:15
|
作者
Alemayehu, Atkuregn [1 ]
Alemayehu, Mihiretu [2 ]
Arba, Aseb [3 ]
Abebe, Hanna [1 ]
Goa, Abraham
Paulos, Kebreab [4 ]
Obsa, Mohammed Suleiman [5 ]
机构
[1] Wolaita Sodo Univ, Inst Qual Assurance, Coll Med & Hlth Sci, Sodo, Ethiopia
[2] Wolaita Sodo Univ, Sch Publ Hlth, Coll Med & Hlth Sci, Sodo, Ethiopia
[3] Wolaita Sodo Univ, Sch Nursing, Coll Med & Hlth Sci, Sodo, Ethiopia
[4] Wolaita Sodo Univ, Sch Midwifery, Coll Med & Hlth Sci, Sodo, Ethiopia
[5] Wolaita Sodo Univ, Sch Anesthesia, Coll Med & Hlth Sci, Sodo, Ethiopia
关键词
INTENSIVE-CARE-UNIT; RISK-FACTORS; MORTALITY; COHORT;
D O I
10.1155/2020/3709672
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
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. p0.05 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-up3 visits, Apgar (Appearance, Pulse, Grimace, Activity, and Respiration) score7, low birth weight, and the time in which breastfeeding started after delivery60 minutes. Conclusion. Maternal age, wealth/income, maternal urinary tract infections/sexually transmitted infections, intrapartum fever, antenatal care visit <= 3 times, Apgar score7, 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.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Neonatal sepsis and associated factors among newborns in hospitals of Wolaita Sodo Town, Southern Ethiopia
    Mersha, Abera
    Worku, Tilahun
    Shibiru, Shitaye
    Bante, Agegnehu
    Molla, Addis
    Seifu, Genzeb
    Huka, Girma
    Abrham, Eyerusalem
    Teshome, Temesgen
    RESEARCH AND REPORTS IN NEONATOLOGY, 2019, 9 : 1 - 8
  • [2] Determinants of puerperal sepsis among postpartum women at public hospitals of Hawassa city, Southern Ethiopia: Institution-based unmatched case-control study
    Tesfaye, Talelign
    Samuel, Serawit
    Lera, Temesgen
    HELIYON, 2023, 9 (04)
  • [3] Determinants of mortality among preterm neonates admitted at Wolaita Sodo University Comprehensive Specialized Hospital, southern Ethiopia: An unmatched case-control study
    Bogale, Alemu
    Borko, Ushula Deboch
    Abreha, Solomon
    Balta, Bargude
    PLOS ONE, 2024, 19 (12):
  • [4] Determinants of neonatal hypoglycemia among neonates admitted to neonatal intensive care units of public hospitals in Wolaita Zone, Southern Ethiopia, 2023: An unmatched case-control study
    Wodajo, Dawit Tesfaye
    Gebretsadik, Woiynshet
    Melketsedik, Zeleke Aschalew
    Desalegn, Nathan
    Lencha, Fikre Moga
    FRONTIERS IN PEDIATRICS, 2024, 12
  • [5] Determinants of Neonatal Sepsis among Neonates Admitted to Public Hospitals in Central Ethiopia: Unmatched Case-control Study
    Bulto, Gizachew Abdissa
    Fekene, Daniel Belema
    Woldeyes, Benyam Seifu
    Debelo, Bikila Tefera
    GLOBAL PEDIATRIC HEALTH, 2021, 8
  • [6] Prevalence of teenage pregnancy and associated factors among preparatory and high school students in Wolaita Sodo town, southern Ethiopia: an institution-based cross-sectional study
    Kumma, Wondimagegn Paulos
    Chaka, Feben Girma
    Daga, Wakgari Binu
    Alemayehu, Mihiretu Arba
    Meskele, Mengistu
    Wolka, Eskinder
    BMJ OPEN, 2023, 13 (06):
  • [7] Determinants of uterine rupture among mothers who gave birth in Jinka and Arba Minch General Hospitals, institution-based case-control study, Southern Ethiopia, Ethiopia, 2019
    Girmay, Goitom
    Gultie, Teklemariam
    Gebremichael, Gebrekiros
    Afework, Bezawit
    Temesgen, Gebremariam
    WOMENS HEALTH, 2020, 16
  • [8] Determinants of preterm delivery among mothers who gave birth in hospitals of Wolaita zone, southern Ethiopia, 2023: unmatched case-control study
    Tilahun, Cherinet
    Getie, Asmare
    Tadesse, Hiwot
    Geta, Temesgen
    Ashiko, Adisu
    BMC PREGNANCY AND CHILDBIRTH, 2024, 24 (01)
  • [9] Determinants of mortality among pediatric patients admitted to Wolaita Sodo University Comprehensive Specialized Hospital with acute bacterial meningitis, Southern Ethiopia: an unmatched case-control study
    Borko, Ushula Deboch
    Gelgelu, Temesgen Bati
    Zema, Zewde
    Alemu, Afework
    Dendir, Getahun
    Israel, Eskinder
    Abiso, Temesgen Lera
    Woldegeorgis, Beshada Zerfu
    BMC PEDIATRICS, 2023, 23 (01) : 610
  • [10] Determinants of induced abortion among women received maternal health care services in public hospitals of Arba Minch and Wolayita Sodo town, southern Ethiopia: unmatched case-control study
    Abebe, Mesfin
    Mersha, Abera
    Degefa, Nega
    Gebremeskel, Feleke
    Kefelew, Etenesh
    Molla, Wondwosen
    BMC WOMENS HEALTH, 2022, 22 (01)