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Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic
BACKGROUND: Insights into behaviours relevant to the transmission of infections are extremely valuable for epidemiological investigations. Healthcare worker (HCW) mobility and patient contacts within the hospital can contribute to nosocomial outbreaks, yet data on these behaviours are often limited....
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782286/ https://www.ncbi.nlm.nih.gov/pubmed/36564506 http://dx.doi.org/10.1038/s43856-022-00229-x |
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author | Wilson-Aggarwal, Jared K. Gotts, Nick Wong, Wai Keong Liddington, Chris Knight, Simon Spyer, Moira J. Houlihan, Catherine F. Nastouli, Eleni Manley, Ed |
author_facet | Wilson-Aggarwal, Jared K. Gotts, Nick Wong, Wai Keong Liddington, Chris Knight, Simon Spyer, Moira J. Houlihan, Catherine F. Nastouli, Eleni Manley, Ed |
author_sort | Wilson-Aggarwal, Jared K. |
collection | PubMed |
description | BACKGROUND: Insights into behaviours relevant to the transmission of infections are extremely valuable for epidemiological investigations. Healthcare worker (HCW) mobility and patient contacts within the hospital can contribute to nosocomial outbreaks, yet data on these behaviours are often limited. METHODS: Using electronic medical records and door access logs from a London teaching hospital during the COVID-19 pandemic, we derive indicators for HCW mobility and patient contacts at an aggregate level. We assess the spatial-temporal variations in HCW behaviour and, to demonstrate the utility of these behavioural markers, investigate changes in the indirect connectivity of patients (resulting from shared contacts with HCWs) and spatial connectivity of floors (owing to the movements of HCWs). RESULTS: Fluctuations in HCW mobility and patient contacts were identified during the pandemic, with the most prominent changes in behaviour on floors handling the majority of COVID-19 patients. The connectivity between floors was disrupted by the pandemic and, while this stabilised after the first wave, the interconnectivity of COVID-19 and non-COVID-19 wards always featured. Daily rates of indirect contact between patients provided evidence for reactive staff cohorting in response to the number of COVID-19 patients in the hospital. CONCLUSIONS: Routinely collected electronic records in the healthcare environment provide a means to rapidly assess and investigate behaviour change in the HCW population, and can support evidence based infection prevention and control activities. Integrating frameworks like ours into routine practice will empower decision makers and improve pandemic preparedness by providing tools to help curtail nosocomial outbreaks of communicable diseases. |
format | Online Article Text |
id | pubmed-9782286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97822862022-12-23 Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic Wilson-Aggarwal, Jared K. Gotts, Nick Wong, Wai Keong Liddington, Chris Knight, Simon Spyer, Moira J. Houlihan, Catherine F. Nastouli, Eleni Manley, Ed Commun Med (Lond) Article BACKGROUND: Insights into behaviours relevant to the transmission of infections are extremely valuable for epidemiological investigations. Healthcare worker (HCW) mobility and patient contacts within the hospital can contribute to nosocomial outbreaks, yet data on these behaviours are often limited. METHODS: Using electronic medical records and door access logs from a London teaching hospital during the COVID-19 pandemic, we derive indicators for HCW mobility and patient contacts at an aggregate level. We assess the spatial-temporal variations in HCW behaviour and, to demonstrate the utility of these behavioural markers, investigate changes in the indirect connectivity of patients (resulting from shared contacts with HCWs) and spatial connectivity of floors (owing to the movements of HCWs). RESULTS: Fluctuations in HCW mobility and patient contacts were identified during the pandemic, with the most prominent changes in behaviour on floors handling the majority of COVID-19 patients. The connectivity between floors was disrupted by the pandemic and, while this stabilised after the first wave, the interconnectivity of COVID-19 and non-COVID-19 wards always featured. Daily rates of indirect contact between patients provided evidence for reactive staff cohorting in response to the number of COVID-19 patients in the hospital. CONCLUSIONS: Routinely collected electronic records in the healthcare environment provide a means to rapidly assess and investigate behaviour change in the HCW population, and can support evidence based infection prevention and control activities. Integrating frameworks like ours into routine practice will empower decision makers and improve pandemic preparedness by providing tools to help curtail nosocomial outbreaks of communicable diseases. Nature Publishing Group UK 2022-12-23 /pmc/articles/PMC9782286/ /pubmed/36564506 http://dx.doi.org/10.1038/s43856-022-00229-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wilson-Aggarwal, Jared K. Gotts, Nick Wong, Wai Keong Liddington, Chris Knight, Simon Spyer, Moira J. Houlihan, Catherine F. Nastouli, Eleni Manley, Ed Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic |
title | Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic |
title_full | Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic |
title_fullStr | Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic |
title_full_unstemmed | Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic |
title_short | Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic |
title_sort | investigating healthcare worker mobility and patient contacts within a uk hospital during the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782286/ https://www.ncbi.nlm.nih.gov/pubmed/36564506 http://dx.doi.org/10.1038/s43856-022-00229-x |
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