Bacterial contamination of healthcare workers’ mobile phones in Africa: a systematic review and meta-analysis
Abstract Background Mobile phones are potential reservoirs for pathogens and sources of healthcare-associated infections. More microbes can be found on a mobile phone than on a man's lavatory seat, the sole of a shoe, or a door handle. When examining patients, frequent handling of mobile phones...
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ftdoajarticles:oai:doaj.org/article:2082a9d167b642a68c3768ddad34cf2e 2023-11-12T04:13:58+01:00 Bacterial contamination of healthcare workers’ mobile phones in Africa: a systematic review and meta-analysis Demisu Zenbaba Biniyam Sahiledengle Girma Beressa Fikreab Desta Zinash Teferu Fikadu Nugusu Daniel Atlaw Zerihun Shiferaw Bereket Gezahegn Ayele Mamo Tesfaye Desalegn Wogene Negash Getahun Negash Mohammedaman Mama Eshetu Nigussie Vijay Kumar Chattu 2023-10-01T00:00:00Z https://doi.org/10.1186/s41182-023-00547-3 https://doaj.org/article/2082a9d167b642a68c3768ddad34cf2e EN eng BMC https://doi.org/10.1186/s41182-023-00547-3 https://doaj.org/toc/1349-4147 doi:10.1186/s41182-023-00547-3 1349-4147 https://doaj.org/article/2082a9d167b642a68c3768ddad34cf2e Tropical Medicine and Health, Vol 51, Iss 1, Pp 1-15 (2023) Healthcare Mobile Phones Prevalence Workers Arctic medicine. Tropical medicine RC955-962 article 2023 ftdoajarticles https://doi.org/10.1186/s41182-023-00547-3 2023-10-15T00:39:38Z Abstract Background Mobile phones are potential reservoirs for pathogens and sources of healthcare-associated infections. More microbes can be found on a mobile phone than on a man's lavatory seat, the sole of a shoe, or a door handle. When examining patients, frequent handling of mobile phones can spread bacteria. Nevertheless, evidence of bacterial contamination of mobile phones used by healthcare workers in Africa was inconclusive. Thus, this meta-analysis and systematic review was conducted to estimate the pooled prevalence of bacterial contamination of mobile phones used by healthcare workers and the most frequent bacterial isolates in Africa. Methods We systematically retrieved relevant studies using PubMed/MEDLINE, POPLINE, HINARI, Science Direct, Cochrane Library databases, and Google Scholar from July 1, 2023 to August 08, 2023. We included observational studies that reported the prevalence of bacterial contamination of mobile phones among healthcare workers. The DerSimonian–random Laird's effect model was used to calculate effect estimates for the pooled prevalence of bacterial contamination in mobile phones and a 95% confidence interval (CI). Results Among 4544 retrieved studies, 26 eligible articles with a total sample size of 2,887 study participants were included in the meta-analysis. The pooled prevalence of mobile phone bacterial contamination among healthcare workers was 84.5% (95% CI 81.7, 87.4%; I 2 = 97.9%, p value < 0.001). The most dominant type of bacteria isolated in this review was coagulase-negative staphylococci (CONS) which accounted for 44.0% of the pooled contamination rate of mobile phones used by healthcare workers, followed by Staphylococcus aureus (31.3%), and Escherichia coli (10.7%). Conclusions In this review, the contamination of mobile phones used by HCWs with various bacterial isolates was shown to be considerable. The most prevalent bacteria isolates were coagulase-negative staphylococci, Staphylococcus aurous, and Escherichia coli. The prevalence of bacterial ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Tropical Medicine and Health 51 1 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
topic |
Healthcare Mobile Phones Prevalence Workers Arctic medicine. Tropical medicine RC955-962 |
spellingShingle |
Healthcare Mobile Phones Prevalence Workers Arctic medicine. Tropical medicine RC955-962 Demisu Zenbaba Biniyam Sahiledengle Girma Beressa Fikreab Desta Zinash Teferu Fikadu Nugusu Daniel Atlaw Zerihun Shiferaw Bereket Gezahegn Ayele Mamo Tesfaye Desalegn Wogene Negash Getahun Negash Mohammedaman Mama Eshetu Nigussie Vijay Kumar Chattu Bacterial contamination of healthcare workers’ mobile phones in Africa: a systematic review and meta-analysis |
topic_facet |
Healthcare Mobile Phones Prevalence Workers Arctic medicine. Tropical medicine RC955-962 |
description |
Abstract Background Mobile phones are potential reservoirs for pathogens and sources of healthcare-associated infections. More microbes can be found on a mobile phone than on a man's lavatory seat, the sole of a shoe, or a door handle. When examining patients, frequent handling of mobile phones can spread bacteria. Nevertheless, evidence of bacterial contamination of mobile phones used by healthcare workers in Africa was inconclusive. Thus, this meta-analysis and systematic review was conducted to estimate the pooled prevalence of bacterial contamination of mobile phones used by healthcare workers and the most frequent bacterial isolates in Africa. Methods We systematically retrieved relevant studies using PubMed/MEDLINE, POPLINE, HINARI, Science Direct, Cochrane Library databases, and Google Scholar from July 1, 2023 to August 08, 2023. We included observational studies that reported the prevalence of bacterial contamination of mobile phones among healthcare workers. The DerSimonian–random Laird's effect model was used to calculate effect estimates for the pooled prevalence of bacterial contamination in mobile phones and a 95% confidence interval (CI). Results Among 4544 retrieved studies, 26 eligible articles with a total sample size of 2,887 study participants were included in the meta-analysis. The pooled prevalence of mobile phone bacterial contamination among healthcare workers was 84.5% (95% CI 81.7, 87.4%; I 2 = 97.9%, p value < 0.001). The most dominant type of bacteria isolated in this review was coagulase-negative staphylococci (CONS) which accounted for 44.0% of the pooled contamination rate of mobile phones used by healthcare workers, followed by Staphylococcus aureus (31.3%), and Escherichia coli (10.7%). Conclusions In this review, the contamination of mobile phones used by HCWs with various bacterial isolates was shown to be considerable. The most prevalent bacteria isolates were coagulase-negative staphylococci, Staphylococcus aurous, and Escherichia coli. The prevalence of bacterial ... |
format |
Article in Journal/Newspaper |
author |
Demisu Zenbaba Biniyam Sahiledengle Girma Beressa Fikreab Desta Zinash Teferu Fikadu Nugusu Daniel Atlaw Zerihun Shiferaw Bereket Gezahegn Ayele Mamo Tesfaye Desalegn Wogene Negash Getahun Negash Mohammedaman Mama Eshetu Nigussie Vijay Kumar Chattu |
author_facet |
Demisu Zenbaba Biniyam Sahiledengle Girma Beressa Fikreab Desta Zinash Teferu Fikadu Nugusu Daniel Atlaw Zerihun Shiferaw Bereket Gezahegn Ayele Mamo Tesfaye Desalegn Wogene Negash Getahun Negash Mohammedaman Mama Eshetu Nigussie Vijay Kumar Chattu |
author_sort |
Demisu Zenbaba |
title |
Bacterial contamination of healthcare workers’ mobile phones in Africa: a systematic review and meta-analysis |
title_short |
Bacterial contamination of healthcare workers’ mobile phones in Africa: a systematic review and meta-analysis |
title_full |
Bacterial contamination of healthcare workers’ mobile phones in Africa: a systematic review and meta-analysis |
title_fullStr |
Bacterial contamination of healthcare workers’ mobile phones in Africa: a systematic review and meta-analysis |
title_full_unstemmed |
Bacterial contamination of healthcare workers’ mobile phones in Africa: a systematic review and meta-analysis |
title_sort |
bacterial contamination of healthcare workers’ mobile phones in africa: a systematic review and meta-analysis |
publisher |
BMC |
publishDate |
2023 |
url |
https://doi.org/10.1186/s41182-023-00547-3 https://doaj.org/article/2082a9d167b642a68c3768ddad34cf2e |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Tropical Medicine and Health, Vol 51, Iss 1, Pp 1-15 (2023) |
op_relation |
https://doi.org/10.1186/s41182-023-00547-3 https://doaj.org/toc/1349-4147 doi:10.1186/s41182-023-00547-3 1349-4147 https://doaj.org/article/2082a9d167b642a68c3768ddad34cf2e |
op_doi |
https://doi.org/10.1186/s41182-023-00547-3 |
container_title |
Tropical Medicine and Health |
container_volume |
51 |
container_issue |
1 |
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1782331737173393408 |