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A spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting

BACKGROUND: Hand transmission of harmful microorganisms may lead to infections and poses a major threat to patients and healthcare workers in healthcare settings. The most effective countermeasure against these transmissions is the adherence to spatiotemporal hand hygiene policies, but adherence rat...

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Autores principales: van Niekerk, J. M., Stein, A., Doting, M. H. E., Lokate, M., Braakman-Jansen, L. M. A., van Gemert-Pijnen, J. E. W. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953685/
https://www.ncbi.nlm.nih.gov/pubmed/33711939
http://dx.doi.org/10.1186/s12879-021-05954-7
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author van Niekerk, J. M.
Stein, A.
Doting, M. H. E.
Lokate, M.
Braakman-Jansen, L. M. A.
van Gemert-Pijnen, J. E. W. C.
author_facet van Niekerk, J. M.
Stein, A.
Doting, M. H. E.
Lokate, M.
Braakman-Jansen, L. M. A.
van Gemert-Pijnen, J. E. W. C.
author_sort van Niekerk, J. M.
collection PubMed
description BACKGROUND: Hand transmission of harmful microorganisms may lead to infections and poses a major threat to patients and healthcare workers in healthcare settings. The most effective countermeasure against these transmissions is the adherence to spatiotemporal hand hygiene policies, but adherence rates are relatively low and vary over space and time. The spatiotemporal effects on hand transmission and spread of these microorganisms for varying hand hygiene compliance levels are unknown. This study aims to (1) identify a healthcare worker occupancy group of potential super-spreaders and (2) quantify spatiotemporal effects on the hand transmission and spread of harmful microorganisms for varying levels of hand hygiene compliance caused by this group. METHODS: Spatiotemporal data were collected in a hospital ward of an academic hospital using radio frequency identification technology for 7 days. A potential super-spreader healthcare worker occupation group was identified using the frequency identification sensors’ contact data. The effects of five probability distributions of hand hygiene compliance and three harmful microorganism transmission rates were simulated using a dynamic agent-based simulation model. The effects of initial simulation assumptions on the simulation results were quantified using five risk outcomes. RESULTS: Nurses, doctors and patients are together responsible for 81.13% of all contacts. Nurses made up 70.68% of all contacts, which is more than five times that of doctors (10.44%). This identifies nurses as the potential super-spreader healthcare worker occupation group. For initial simulation conditions of extreme lack of hand hygiene compliance (5%) and high transmission rates (5% per contact moment), a colonised nurse can transfer microbes to three of the 17 healthcare worker or patients encountered during the 98.4 min of visiting 23 rooms while colonised. The harmful microorganism transmission potential for nurses is higher during weeknights (5 pm – 7 am) and weekends as compared to weekdays (7 am – 5 pm). CONCLUSION: Spatiotemporal behaviour and social mixing patterns of healthcare can change the expected number of hand transmissions and spread of harmful microorganisms by super-spreaders in a closed healthcare setting. These insights can be used to evaluate spatiotemporal safety behaviours and develop infection prevention and control strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-05954-7.
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spelling pubmed-79536852021-03-12 A spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting van Niekerk, J. M. Stein, A. Doting, M. H. E. Lokate, M. Braakman-Jansen, L. M. A. van Gemert-Pijnen, J. E. W. C. BMC Infect Dis Research Article BACKGROUND: Hand transmission of harmful microorganisms may lead to infections and poses a major threat to patients and healthcare workers in healthcare settings. The most effective countermeasure against these transmissions is the adherence to spatiotemporal hand hygiene policies, but adherence rates are relatively low and vary over space and time. The spatiotemporal effects on hand transmission and spread of these microorganisms for varying hand hygiene compliance levels are unknown. This study aims to (1) identify a healthcare worker occupancy group of potential super-spreaders and (2) quantify spatiotemporal effects on the hand transmission and spread of harmful microorganisms for varying levels of hand hygiene compliance caused by this group. METHODS: Spatiotemporal data were collected in a hospital ward of an academic hospital using radio frequency identification technology for 7 days. A potential super-spreader healthcare worker occupation group was identified using the frequency identification sensors’ contact data. The effects of five probability distributions of hand hygiene compliance and three harmful microorganism transmission rates were simulated using a dynamic agent-based simulation model. The effects of initial simulation assumptions on the simulation results were quantified using five risk outcomes. RESULTS: Nurses, doctors and patients are together responsible for 81.13% of all contacts. Nurses made up 70.68% of all contacts, which is more than five times that of doctors (10.44%). This identifies nurses as the potential super-spreader healthcare worker occupation group. For initial simulation conditions of extreme lack of hand hygiene compliance (5%) and high transmission rates (5% per contact moment), a colonised nurse can transfer microbes to three of the 17 healthcare worker or patients encountered during the 98.4 min of visiting 23 rooms while colonised. The harmful microorganism transmission potential for nurses is higher during weeknights (5 pm – 7 am) and weekends as compared to weekdays (7 am – 5 pm). CONCLUSION: Spatiotemporal behaviour and social mixing patterns of healthcare can change the expected number of hand transmissions and spread of harmful microorganisms by super-spreaders in a closed healthcare setting. These insights can be used to evaluate spatiotemporal safety behaviours and develop infection prevention and control strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-05954-7. BioMed Central 2021-03-12 /pmc/articles/PMC7953685/ /pubmed/33711939 http://dx.doi.org/10.1186/s12879-021-05954-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
van Niekerk, J. M.
Stein, A.
Doting, M. H. E.
Lokate, M.
Braakman-Jansen, L. M. A.
van Gemert-Pijnen, J. E. W. C.
A spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting
title A spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting
title_full A spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting
title_fullStr A spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting
title_full_unstemmed A spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting
title_short A spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting
title_sort spatiotemporal simulation study on the transmission of harmful microorganisms through connected healthcare workers in a hospital ward setting
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953685/
https://www.ncbi.nlm.nih.gov/pubmed/33711939
http://dx.doi.org/10.1186/s12879-021-05954-7
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