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The prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia: a retrospective observational cohort study

BACKGROUND: Healthcare-associated illnesses, of which surgical site infection is the most common are significant causes of morbidity and mortality. Therefore, this study aimed to determine the prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia. METH...

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Autores principales: Fisha, Kidanie, Azage, Muluken, Mulat, Getasew, Tamirat, Koku Sisay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617908/
https://www.ncbi.nlm.nih.gov/pubmed/31333761
http://dx.doi.org/10.1186/s13037-019-0206-4
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author Fisha, Kidanie
Azage, Muluken
Mulat, Getasew
Tamirat, Koku Sisay
author_facet Fisha, Kidanie
Azage, Muluken
Mulat, Getasew
Tamirat, Koku Sisay
author_sort Fisha, Kidanie
collection PubMed
description BACKGROUND: Healthcare-associated illnesses, of which surgical site infection is the most common are significant causes of morbidity and mortality. Therefore, this study aimed to determine the prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia. METHODS: An institution based retrospective observational cohort study was conducted among patients who underwent surgical procedures at public and private health facilities from March 15 to April 15, 2018. Samples were selected by the simple random sampling technique, and data extracted from the patient’s medical chart, operation, and anesthesia notes. Data were entered using Epi info version 7 and analyzed using STATA 14. Binary logistic regression was fitted to identify factors associated with surgical site infections in private and public hospitals. Crude and adjusted odds ratios (OR) with a 95% confidence interval (CI) were computed to assess the strength of associations. Variables with a p-value less than 0.05 in the multivariable logistic regression model considered as significant predictors of surgical site infections. RESULT: The overall prevalence of surgical site infections was 9.9% (95%CI: 7.8, 12.5). The prevalence of the infections was higher in procedures performed in public hospitals (13.4%) compared to private hospitals (6.5%). Rural residence (AOR = 0.13, 95%CI: 0.034 0.55), clean-contaminated and dirty wound (AOR = 12.81, 95%CI: 4.42 37.08) were significant predictors of the infections in private hospitals. Similarly, clean-contaminated and dirty wounds (AOR = 4.37, 95%CI: 1.88 10.14), length of hospital stay≥6 days (AOR = 2.86, 95%CI: 1.11 7.33), and surgical operation time of over 1 h (AOR = 15.24, 95%CI: 4.48 51.83) were such factors in public hospitals. CONCLUSION: The prevalence of surgical site infections was high, and significant differences were also observed between public and private hospitals. Clean-contaminated and dirty wounds, prolonged operation, and length of hospital stay were predictors of surgical site infections among patients in public hospitals, whereas clean-contaminated wound and rural dwellings were predicted the infections among patients operated in the private hospital.
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spelling pubmed-66179082019-07-22 The prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia: a retrospective observational cohort study Fisha, Kidanie Azage, Muluken Mulat, Getasew Tamirat, Koku Sisay Patient Saf Surg Research BACKGROUND: Healthcare-associated illnesses, of which surgical site infection is the most common are significant causes of morbidity and mortality. Therefore, this study aimed to determine the prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia. METHODS: An institution based retrospective observational cohort study was conducted among patients who underwent surgical procedures at public and private health facilities from March 15 to April 15, 2018. Samples were selected by the simple random sampling technique, and data extracted from the patient’s medical chart, operation, and anesthesia notes. Data were entered using Epi info version 7 and analyzed using STATA 14. Binary logistic regression was fitted to identify factors associated with surgical site infections in private and public hospitals. Crude and adjusted odds ratios (OR) with a 95% confidence interval (CI) were computed to assess the strength of associations. Variables with a p-value less than 0.05 in the multivariable logistic regression model considered as significant predictors of surgical site infections. RESULT: The overall prevalence of surgical site infections was 9.9% (95%CI: 7.8, 12.5). The prevalence of the infections was higher in procedures performed in public hospitals (13.4%) compared to private hospitals (6.5%). Rural residence (AOR = 0.13, 95%CI: 0.034 0.55), clean-contaminated and dirty wound (AOR = 12.81, 95%CI: 4.42 37.08) were significant predictors of the infections in private hospitals. Similarly, clean-contaminated and dirty wounds (AOR = 4.37, 95%CI: 1.88 10.14), length of hospital stay≥6 days (AOR = 2.86, 95%CI: 1.11 7.33), and surgical operation time of over 1 h (AOR = 15.24, 95%CI: 4.48 51.83) were such factors in public hospitals. CONCLUSION: The prevalence of surgical site infections was high, and significant differences were also observed between public and private hospitals. Clean-contaminated and dirty wounds, prolonged operation, and length of hospital stay were predictors of surgical site infections among patients in public hospitals, whereas clean-contaminated wound and rural dwellings were predicted the infections among patients operated in the private hospital. BioMed Central 2019-07-10 /pmc/articles/PMC6617908/ /pubmed/31333761 http://dx.doi.org/10.1186/s13037-019-0206-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Fisha, Kidanie
Azage, Muluken
Mulat, Getasew
Tamirat, Koku Sisay
The prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia: a retrospective observational cohort study
title The prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia: a retrospective observational cohort study
title_full The prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia: a retrospective observational cohort study
title_fullStr The prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia: a retrospective observational cohort study
title_full_unstemmed The prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia: a retrospective observational cohort study
title_short The prevalence and root causes of surgical site infections in public versus private hospitals in Ethiopia: a retrospective observational cohort study
title_sort prevalence and root causes of surgical site infections in public versus private hospitals in ethiopia: a retrospective observational cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617908/
https://www.ncbi.nlm.nih.gov/pubmed/31333761
http://dx.doi.org/10.1186/s13037-019-0206-4
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