Electronic sensors for assessing interactions between healthcare workers and patients under airborne precautions.

<h4>Background</h4>Direct observation has been widely used to assess interactions between healthcare workers (HCWs) and patients but is time-consuming and feasible only over short periods. We used a Radio Frequency Identification Device (RFID) system to automatically measure HCW-patient...

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Autores principales:	Jean-Christophe Lucet, Cédric Laouenan, Guillaume Chelius, Nicolas Veziris, Didier Lepelletier, Adrien Friggeri, Dominique Abiteboul, Elisabeth Bouvet, France Mentre, Eric Fleury
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/af0d9a55be994d36aab46d6da6205fac
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spelling	oai:doaj.org-article:af0d9a55be994d36aab46d6da6205fac2021-11-18T07:17:14ZElectronic sensors for assessing interactions between healthcare workers and patients under airborne precautions.1932-620310.1371/journal.pone.0037893https://doaj.org/article/af0d9a55be994d36aab46d6da6205fac2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22662245/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Direct observation has been widely used to assess interactions between healthcare workers (HCWs) and patients but is time-consuming and feasible only over short periods. We used a Radio Frequency Identification Device (RFID) system to automatically measure HCW-patient interactions.<h4>Methods</h4>We equipped 50 patient rooms with fixed sensors and 111 HCW volunteers with mobile sensors in two clinical wards of two hospitals. For 3 months, we recorded all interactions between HCWs and 54 patients under airborne precautions for suspected (n = 40) or confirmed (n = 14) tuberculosis. Number and duration of HCW entries into patient rooms were collected daily. Concomitantly, we directly observed room entries and interviewed HCWs to evaluate their self-perception of the number and duration of contacts with tuberculosis patients.<h4>Results</h4>After signal reconstruction, 5490 interactions were recorded between 82 HCWs and 54 tuberculosis patients during 404 days of airborne isolation. Median (interquartile range) interaction duration was 2.1 (0.8-4.4) min overall, 2.3 (0.8-5.0) in the mornings, 1.8 (0.8-3.7) in the afternoons, and 2.0 (0.7-4.3) at night (P<10(-4)). Number of interactions/day/HCW was 3.0 (1.0-6.0) and total daily duration was 7.6 (2.4-22.5) min. Durations estimated from 28 direct observations and 26 interviews were not significantly different from those recorded by the network.<h4>Conclusions</h4>The RFID was well accepted by HCWs. This original technique holds promise for accurately and continuously measuring interactions between HCWs and patients, as a less resource-consuming substitute for direct observation. The results could be used to model the transmission of significant pathogens. HCW perceptions of interactions with patients accurately reflected reality.Jean-Christophe LucetCédric LaouenanGuillaume CheliusNicolas VezirisDidier LepelletierAdrien FriggeriDominique AbiteboulElisabeth BouvetFrance MentreEric FleuryPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 5, p e37893 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jean-Christophe Lucet Cédric Laouenan Guillaume Chelius Nicolas Veziris Didier Lepelletier Adrien Friggeri Dominique Abiteboul Elisabeth Bouvet France Mentre Eric Fleury Electronic sensors for assessing interactions between healthcare workers and patients under airborne precautions.
description	<h4>Background</h4>Direct observation has been widely used to assess interactions between healthcare workers (HCWs) and patients but is time-consuming and feasible only over short periods. We used a Radio Frequency Identification Device (RFID) system to automatically measure HCW-patient interactions.<h4>Methods</h4>We equipped 50 patient rooms with fixed sensors and 111 HCW volunteers with mobile sensors in two clinical wards of two hospitals. For 3 months, we recorded all interactions between HCWs and 54 patients under airborne precautions for suspected (n = 40) or confirmed (n = 14) tuberculosis. Number and duration of HCW entries into patient rooms were collected daily. Concomitantly, we directly observed room entries and interviewed HCWs to evaluate their self-perception of the number and duration of contacts with tuberculosis patients.<h4>Results</h4>After signal reconstruction, 5490 interactions were recorded between 82 HCWs and 54 tuberculosis patients during 404 days of airborne isolation. Median (interquartile range) interaction duration was 2.1 (0.8-4.4) min overall, 2.3 (0.8-5.0) in the mornings, 1.8 (0.8-3.7) in the afternoons, and 2.0 (0.7-4.3) at night (P<10(-4)). Number of interactions/day/HCW was 3.0 (1.0-6.0) and total daily duration was 7.6 (2.4-22.5) min. Durations estimated from 28 direct observations and 26 interviews were not significantly different from those recorded by the network.<h4>Conclusions</h4>The RFID was well accepted by HCWs. This original technique holds promise for accurately and continuously measuring interactions between HCWs and patients, as a less resource-consuming substitute for direct observation. The results could be used to model the transmission of significant pathogens. HCW perceptions of interactions with patients accurately reflected reality.
format	article
author	Jean-Christophe Lucet Cédric Laouenan Guillaume Chelius Nicolas Veziris Didier Lepelletier Adrien Friggeri Dominique Abiteboul Elisabeth Bouvet France Mentre Eric Fleury
author_facet	Jean-Christophe Lucet Cédric Laouenan Guillaume Chelius Nicolas Veziris Didier Lepelletier Adrien Friggeri Dominique Abiteboul Elisabeth Bouvet France Mentre Eric Fleury
author_sort	Jean-Christophe Lucet
title	Electronic sensors for assessing interactions between healthcare workers and patients under airborne precautions.
title_short	Electronic sensors for assessing interactions between healthcare workers and patients under airborne precautions.
title_full	Electronic sensors for assessing interactions between healthcare workers and patients under airborne precautions.
title_fullStr	Electronic sensors for assessing interactions between healthcare workers and patients under airborne precautions.
title_full_unstemmed	Electronic sensors for assessing interactions between healthcare workers and patients under airborne precautions.
title_sort	electronic sensors for assessing interactions between healthcare workers and patients under airborne precautions.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/af0d9a55be994d36aab46d6da6205fac
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Electronic sensors for assessing interactions between healthcare workers and patients under airborne precautions.

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