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The pilot, proof of concept REMOTE-COVID trial: remote monitoring use in suspected cases of COVID-19 (SARS-CoV 2)

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Title: The pilot, proof of concept REMOTE-COVID trial: remote monitoring use in suspected cases of COVID-19 (SARS-CoV 2)
Authors: Iqbal, F
Joshi, M
Davies, G
Khan, S
Ashrafian, H
Darzi, A
Item Type: Journal Article
Abstract: Background: SARS-CoV-2has ever-increasing attributed deaths. Vital sign trends are routinely used to monitor patients with changes in these parameters preceding an adverse event. Wearable sensors can measure vital signs continuously and remotely, outside of hospital facilities, recognising early clinical deterioration. We aim to determine the feasibility& acceptability of remote monitoring systems for quarantined individuals in a hotel suspected of COVID-19.Methods: A pilot, proof-of-concept, feasibility trial was conducted in engineered hotels near London airports(May-June 2020). Individuals arriving to London with mild suspected COVID-19 symptoms requiring quarantine, as recommended by Public Health England, or healthcare professionals with COVID-19 symptoms unable to isolate at home were eligible. The Sensium Vitals™ patch, measuring temperature, heart & respiratory rates, was applied on arrival for the duration of their stay. Alerts were generated when pre-established thresholds were breeched; trained nursing staff could consequently intervene. Results: Fourteen individuals (M=7, F=7) were recruited; the mean age was 34.9 (SD 11) years. Mean length of stay was 3 (SD 1.8) days. In total, 10 vital alerts were generated across 4 participants, resulting in telephone contact, reassurance, or adjustment of the sensor. No individuals required hospitalisation or virtual general practitioner review. Discussion: This proof-of-concept trial demonstrated the feasibility of a rapidly implemented model of healthcare delivery through remote monitoring during a pandemic at a hotel, acting as an extension to a healthcare trust. Benefits included reduced viral exposure to healthcare staff, with recognition of clinical deterioration through ambulatory, continuous, remote monitoring using a discrete wearable sensor. Conclusion: Remote monitoring systems can be applied to hotels to deliver healthcare safely in individuals suspected of COVID-19. Further work is required to evaluate this model on a larger scale. Clinical trials registration information: ClinicalTrials.gov Identifier: NCT04337489(07/04/2020)
Issue Date: 1-Apr-2021
Date of Acceptance: 18-Mar-2021
URI: http://hdl.handle.net/10044/1/87037
DOI: 10.1186/s12889-021-10660-9
ISSN: 1471-2458
Publisher: BioMed Central
Start Page: 1
End Page: 8
Journal / Book Title: BMC Public Health
Volume: 21
Issue: 1
Copyright Statement: © The Author(s) 2021. 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 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.
Keywords: Clinical trial
Monitoring, ambulatory
Patient deterioration
Remote sensing technology
Public Health
1117 Public Health and Health Services
Publication Status: Published
Article Number: 638
Online Publication Date: 2021-04-01
Appears in Collections:Department of Surgery and Cancer
Faculty of Medicine
Institute of Global Health Innovation
Imperial College London COVID-19

This item is licensed under a Creative Commons License Creative Commons