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Prevalence of nosocomial infections in Iran: A systematic review and meta-analysis

Background: Nosocomial infections represent a serious public health concern worldwide, and, especially, in developing countries where, due to financial constraints, it is difficult to control infections. This study aimed to review and assess the prevalence of nosocomial infections in Iran. Methods:...

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Autores principales: Ghashghaee, Ahmad, Behzadifar, Masoud, Azari, Samad, Farhadi, Zeynab, Luigi Bragazzi, Nicola, Behzadifar, Meysam, Saeedi Shahri, Sahar Sadat, Ghaemmohamadi, Mozhgan Sadat, Ebadi, Faezeh, Mohammadibakhsh, Roghayeh, Seyedin, Hesam, Razi Moghadam, Mahya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iran University of Medical Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6108288/
https://www.ncbi.nlm.nih.gov/pubmed/30159299
http://dx.doi.org/10.14196/mjiri.32.48
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author Ghashghaee, Ahmad
Behzadifar, Masoud
Azari, Samad
Farhadi, Zeynab
Luigi Bragazzi, Nicola
Behzadifar, Meysam
Saeedi Shahri, Sahar Sadat
Ghaemmohamadi, Mozhgan Sadat
Ebadi, Faezeh
Mohammadibakhsh, Roghayeh
Seyedin, Hesam
Razi Moghadam, Mahya
author_facet Ghashghaee, Ahmad
Behzadifar, Masoud
Azari, Samad
Farhadi, Zeynab
Luigi Bragazzi, Nicola
Behzadifar, Meysam
Saeedi Shahri, Sahar Sadat
Ghaemmohamadi, Mozhgan Sadat
Ebadi, Faezeh
Mohammadibakhsh, Roghayeh
Seyedin, Hesam
Razi Moghadam, Mahya
author_sort Ghashghaee, Ahmad
collection PubMed
description Background: Nosocomial infections represent a serious public health concern worldwide, and, especially, in developing countries where, due to financial constraints, it is difficult to control infections. This study aimed to review and assess the prevalence of nosocomial infections in Iran. Methods: Different databases were searched between January 2000 and December 2017. To determine the pooled prevalence, the stochastic DerSimonian-Laird model was used, computing the effect size with its 95% confidence interval. To examine the heterogeneity among studies, the I2 test were conducted. The reporting of observational studies in epidemiology (STROBE) checklist was used to assess the methodological quality of observational studies. To further investigate the source of heterogeneity, meta-regression analyses stratified by publication year, sample size and duration of hospitalization in the hospital were carried out. Results: 52 studies were included. Based on the random-effects model, the overall prevalence of nosocomial infection in Iran was 4.5% [95% CI: 3.5 to 5.7] with a high, statistically significant heterogeneity (I2=99.82%). A sensitivity analysis was performed to ensure the stability results. After removing each study, results did not change. A cumulative meta-analysis of the included studies was performed based on year of publication and the results did not change. In the present study, a high rate of infections caused by Klebsiella pneumoniae (urinary tract, respiratory tract, and bloodstream infections) was found. Conclusion: Preventing and reducing hospital infections can significantly impact on reducing mortality and health-related costs. Implementing ad hoc programs, such as training healthcare staff on admission to the hospital, may play an important role in reducing infections spreading.
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spelling pubmed-61082882018-08-29 Prevalence of nosocomial infections in Iran: A systematic review and meta-analysis Ghashghaee, Ahmad Behzadifar, Masoud Azari, Samad Farhadi, Zeynab Luigi Bragazzi, Nicola Behzadifar, Meysam Saeedi Shahri, Sahar Sadat Ghaemmohamadi, Mozhgan Sadat Ebadi, Faezeh Mohammadibakhsh, Roghayeh Seyedin, Hesam Razi Moghadam, Mahya Med J Islam Repub Iran Original Article Background: Nosocomial infections represent a serious public health concern worldwide, and, especially, in developing countries where, due to financial constraints, it is difficult to control infections. This study aimed to review and assess the prevalence of nosocomial infections in Iran. Methods: Different databases were searched between January 2000 and December 2017. To determine the pooled prevalence, the stochastic DerSimonian-Laird model was used, computing the effect size with its 95% confidence interval. To examine the heterogeneity among studies, the I2 test were conducted. The reporting of observational studies in epidemiology (STROBE) checklist was used to assess the methodological quality of observational studies. To further investigate the source of heterogeneity, meta-regression analyses stratified by publication year, sample size and duration of hospitalization in the hospital were carried out. Results: 52 studies were included. Based on the random-effects model, the overall prevalence of nosocomial infection in Iran was 4.5% [95% CI: 3.5 to 5.7] with a high, statistically significant heterogeneity (I2=99.82%). A sensitivity analysis was performed to ensure the stability results. After removing each study, results did not change. A cumulative meta-analysis of the included studies was performed based on year of publication and the results did not change. In the present study, a high rate of infections caused by Klebsiella pneumoniae (urinary tract, respiratory tract, and bloodstream infections) was found. Conclusion: Preventing and reducing hospital infections can significantly impact on reducing mortality and health-related costs. Implementing ad hoc programs, such as training healthcare staff on admission to the hospital, may play an important role in reducing infections spreading. Iran University of Medical Sciences 2018-06-11 /pmc/articles/PMC6108288/ /pubmed/30159299 http://dx.doi.org/10.14196/mjiri.32.48 Text en © 2018 Iran University of Medical Sciences http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial 3.0 License (CC BY-NC 3.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Original Article
Ghashghaee, Ahmad
Behzadifar, Masoud
Azari, Samad
Farhadi, Zeynab
Luigi Bragazzi, Nicola
Behzadifar, Meysam
Saeedi Shahri, Sahar Sadat
Ghaemmohamadi, Mozhgan Sadat
Ebadi, Faezeh
Mohammadibakhsh, Roghayeh
Seyedin, Hesam
Razi Moghadam, Mahya
Prevalence of nosocomial infections in Iran: A systematic review and meta-analysis
title Prevalence of nosocomial infections in Iran: A systematic review and meta-analysis
title_full Prevalence of nosocomial infections in Iran: A systematic review and meta-analysis
title_fullStr Prevalence of nosocomial infections in Iran: A systematic review and meta-analysis
title_full_unstemmed Prevalence of nosocomial infections in Iran: A systematic review and meta-analysis
title_short Prevalence of nosocomial infections in Iran: A systematic review and meta-analysis
title_sort prevalence of nosocomial infections in iran: a systematic review and meta-analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6108288/
https://www.ncbi.nlm.nih.gov/pubmed/30159299
http://dx.doi.org/10.14196/mjiri.32.48
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