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Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019
BACKGROUND: One-third to two-thirds of operated patients in low-income countries acquire surgical site infection, which is nine times higher when compared to high-resource countries. Identifying the incidence and risk factors that contribute to surgical site infection following cesarean delivery is...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057000/ https://www.ncbi.nlm.nih.gov/pubmed/32148511 http://dx.doi.org/10.1155/2020/9714640 |
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author | Lijaemiro, Hana Berhe Lemlem, Semarya Tesfaye Deressa, Jembere |
author_facet | Lijaemiro, Hana Berhe Lemlem, Semarya Tesfaye Deressa, Jembere |
author_sort | Lijaemiro, Hana |
collection | PubMed |
description | BACKGROUND: One-third to two-thirds of operated patients in low-income countries acquire surgical site infection, which is nine times higher when compared to high-resource countries. Identifying the incidence and risk factors that contribute to surgical site infection following cesarean delivery is a step ahead for preventing and reducing the problem. Nonetheless, the distribution of the problem in Addis Ababa, where the rate of cesarean delivery is relatively high compared to other parts of the country, is under investigation. OBJECTIVE: The aim of this study is to assess the incidence of surgical site infection among cesarean deliveries and factors associated with it in selected governmental hospitals found in Addis Ababa, Ethiopia, in 2019. METHOD: A hospital-based prospective cohort study design was employed to follow 175 women, who gave birth by cesarean delivery in selected government hospitals in Addis Ababa, from March 11 to April 9, 2019. Convenience sampling method was used to select study units from the randomly selected hospitals. Descriptive statistics were run for determining the rate of cesarean delivery surgical site infection. Presence and degree of association between outcome and independent variables were computed through bivariate logistic regression analysis and factors that had p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. RESULT: From 166 participants who completed 30-day follow-up, 25 (15%) of the participants developed surgical site infection. Age, gestational age, duration of operation, and ≥5 vaginal examinations showed a significant association with the outcome variable with AOR (95% CI) of ((AOR = 1.504, 95% CI: (1.170 – 1.933, p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. Conclusion and recommendation. Surgical site infection rate is higher and certain associations lost due to small sample size. Further interventional studies with vast sample size are recommended. |
format | Online Article Text |
id | pubmed-7057000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-70570002020-03-06 Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019 Lijaemiro, Hana Berhe Lemlem, Semarya Tesfaye Deressa, Jembere Obstet Gynecol Int Research Article BACKGROUND: One-third to two-thirds of operated patients in low-income countries acquire surgical site infection, which is nine times higher when compared to high-resource countries. Identifying the incidence and risk factors that contribute to surgical site infection following cesarean delivery is a step ahead for preventing and reducing the problem. Nonetheless, the distribution of the problem in Addis Ababa, where the rate of cesarean delivery is relatively high compared to other parts of the country, is under investigation. OBJECTIVE: The aim of this study is to assess the incidence of surgical site infection among cesarean deliveries and factors associated with it in selected governmental hospitals found in Addis Ababa, Ethiopia, in 2019. METHOD: A hospital-based prospective cohort study design was employed to follow 175 women, who gave birth by cesarean delivery in selected government hospitals in Addis Ababa, from March 11 to April 9, 2019. Convenience sampling method was used to select study units from the randomly selected hospitals. Descriptive statistics were run for determining the rate of cesarean delivery surgical site infection. Presence and degree of association between outcome and independent variables were computed through bivariate logistic regression analysis and factors that had p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. RESULT: From 166 participants who completed 30-day follow-up, 25 (15%) of the participants developed surgical site infection. Age, gestational age, duration of operation, and ≥5 vaginal examinations showed a significant association with the outcome variable with AOR (95% CI) of ((AOR = 1.504, 95% CI: (1.170 – 1.933, p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. Conclusion and recommendation. Surgical site infection rate is higher and certain associations lost due to small sample size. Further interventional studies with vast sample size are recommended. Hindawi 2020-02-22 /pmc/articles/PMC7057000/ /pubmed/32148511 http://dx.doi.org/10.1155/2020/9714640 Text en Copyright © 2020 Hana Lijaemiro et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lijaemiro, Hana Berhe Lemlem, Semarya Tesfaye Deressa, Jembere Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019 |
title | Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019 |
title_full | Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019 |
title_fullStr | Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019 |
title_full_unstemmed | Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019 |
title_short | Incidence of Surgical Site Infection and Factors Associated among Cesarean Deliveries in Selected Government Hospitals in Addis Ababa, Ethiopia, 2019 |
title_sort | incidence of surgical site infection and factors associated among cesarean deliveries in selected government hospitals in addis ababa, ethiopia, 2019 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057000/ https://www.ncbi.nlm.nih.gov/pubmed/32148511 http://dx.doi.org/10.1155/2020/9714640 |
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