Clinical accuracy of infrared temperature measurement devices: a comparison against non-invasive core-body temperature.

COVID-19 infrared thermometry medical devices temperature

Journal

Clinical medicine (London, England)
ISSN: 1473-4893
Titre abrégé: Clin Med (Lond)
Pays: England
ID NLM: 101092853

Informations de publication

Date de publication:
Mar 2023
Historique:
medline: 1 3 2023
pubmed: 1 3 2023
entrez: 13 4 2024
Statut: ppublish

Résumé

During the coronavirus 2019 (COVID-19) pandemic, the implementation of non-contact infrared thermometry (NCIT) became an increasingly popular method of screening body temperature. However, data on the accuracy of these devices and the standardisation of their use are limited. In the current study, the body temperature of non-febrile volunteers was measured using infrared (IR) thermography, IR tympanic thermometry and IR gun thermometry at different facial feature locations and distances and compared with SpotOn core-body temperature. Poor agreement was found between all IR devices and SpotOn measurements (intra-class correlation coefficient <0.8). Bland-Alman analysis showed the narrowest limits of agreement with the IR gun at 3 cm from the forehead (bias = 0.19°C, limits of agreement (LOA): -0.58°C to 0.97°C) and widest with the IR gun at the nose (bias = 1.40°C, LOA: -1.15°C to 3.94°C). Thus, our findings challenge the established use of IR thermometry devices within hospital settings without adequate standard operating procedures to reduce operator error.

Identifiants

pubmed: 38614547
pii: S1470-2118(24)04632-3
doi: 10.7861/clinmed.2022-0252
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

157-163

Informations de copyright

Copyright © 2023 © 2023 THE AUTHORS. Published by Elsevier Limited on behalf of the Royal College of Physicians. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Thomas Holder (T)

York and Scarborough Teaching Hospital NHS Foundation Trust, York, UK.

Frances Sophie Woodley Hooper (FSW)

University of York, York, UK.

David Yates (D)

York and Scarborough Teaching Hospital NHS Foundation Trust, York, UK.

Zion Tse (Z)

Medical Robotics Lab, University of York, York, UK. Electronic address: zion.tse@york.ac.uk.

Samadhan Patil (S)

University of York, York, UK.

Ahmed Moussa (A)

York and Scarborough Teaching Hospital NHS Foundation Trust, York, UK.

Lucy Batten (L)

York and Scarborough Teaching Hospital NHS Foundation Trust, York, UK.

Vignesh Radhakrishnan (V)

University of York, York, UK.

Mark Allison (M)

University of York, York, UK.

Catherine Hewitt (C)

University of York, York, UK.

Ada Keding (A)

University of York, York, UK.

Greg Forshaw (G)

York Teaching Hospital NHS Foundation Trust, York, UK.

Vijay Jayagopal (V)

York and Scarborough Teaching Hospital NHS Foundation Trust, York, UK.

Classifications MeSH