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Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics

Understanding transmission routes of hospital-acquired infections (HAI) is key to improve their control. In this context, describing and analyzing dynamic inter-individual contact patterns in hospitals is essential. In this study, we used wearable sensors to detect Close Proximity Interactions (CPIs...

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Autores principales: Duval, Audrey, Obadia, Thomas, Martinet, Lucie, Boëlle, Pierre-Yves, Fleury, Eric, Guillemot, Didier, Opatowski, Lulla, Temime, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5786108/
https://www.ncbi.nlm.nih.gov/pubmed/29374222
http://dx.doi.org/10.1038/s41598-018-20008-w
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author Duval, Audrey
Obadia, Thomas
Martinet, Lucie
Boëlle, Pierre-Yves
Fleury, Eric
Guillemot, Didier
Opatowski, Lulla
Temime, Laura
author_facet Duval, Audrey
Obadia, Thomas
Martinet, Lucie
Boëlle, Pierre-Yves
Fleury, Eric
Guillemot, Didier
Opatowski, Lulla
Temime, Laura
author_sort Duval, Audrey
collection PubMed
description Understanding transmission routes of hospital-acquired infections (HAI) is key to improve their control. In this context, describing and analyzing dynamic inter-individual contact patterns in hospitals is essential. In this study, we used wearable sensors to detect Close Proximity Interactions (CPIs) among patients and hospital staff in a 200-bed long-term care facility over 4 months. First, the dynamic CPI data was described in terms of contact frequency and duration per individual status or activity and per ward. Second, we investigated the individual factors associated with high contact frequency or duration using generalized linear mixed-effect models to account for inter-ward heterogeneity. Hospital porters and physicians had the highest daily number of distinct contacts, making them more likely to disseminate HAI among individuals. Conversely, contact duration was highest between patients, with potential implications in terms of HAI acquisition risk. Contact patterns differed among hospital wards, reflecting varying care patterns depending on reason for hospitalization, with more frequent contacts in neurologic wards and fewer, longer contacts in geriatric wards. This study is the first to report proximity-sensing data informing on inter-individual contacts in long-term care settings. Our results should help better understand HAI spread, parameterize future mathematical models, and propose efficient control strategies.
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spelling pubmed-57861082018-02-07 Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics Duval, Audrey Obadia, Thomas Martinet, Lucie Boëlle, Pierre-Yves Fleury, Eric Guillemot, Didier Opatowski, Lulla Temime, Laura Sci Rep Article Understanding transmission routes of hospital-acquired infections (HAI) is key to improve their control. In this context, describing and analyzing dynamic inter-individual contact patterns in hospitals is essential. In this study, we used wearable sensors to detect Close Proximity Interactions (CPIs) among patients and hospital staff in a 200-bed long-term care facility over 4 months. First, the dynamic CPI data was described in terms of contact frequency and duration per individual status or activity and per ward. Second, we investigated the individual factors associated with high contact frequency or duration using generalized linear mixed-effect models to account for inter-ward heterogeneity. Hospital porters and physicians had the highest daily number of distinct contacts, making them more likely to disseminate HAI among individuals. Conversely, contact duration was highest between patients, with potential implications in terms of HAI acquisition risk. Contact patterns differed among hospital wards, reflecting varying care patterns depending on reason for hospitalization, with more frequent contacts in neurologic wards and fewer, longer contacts in geriatric wards. This study is the first to report proximity-sensing data informing on inter-individual contacts in long-term care settings. Our results should help better understand HAI spread, parameterize future mathematical models, and propose efficient control strategies. Nature Publishing Group UK 2018-01-26 /pmc/articles/PMC5786108/ /pubmed/29374222 http://dx.doi.org/10.1038/s41598-018-20008-w Text en © The Author(s) 2018 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/.
spellingShingle Article
Duval, Audrey
Obadia, Thomas
Martinet, Lucie
Boëlle, Pierre-Yves
Fleury, Eric
Guillemot, Didier
Opatowski, Lulla
Temime, Laura
Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics
title Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics
title_full Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics
title_fullStr Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics
title_full_unstemmed Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics
title_short Measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics
title_sort measuring dynamic social contacts in a rehabilitation hospital: effect of wards, patient and staff characteristics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5786108/
https://www.ncbi.nlm.nih.gov/pubmed/29374222
http://dx.doi.org/10.1038/s41598-018-20008-w
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