Risk Management and Healthcare Policy (Mar 2022)
Reliability of Non-Contact Infrared Thermometers for Fever Screening Under COVID-19
Abstract
Fan Lai,1,* Xin Li,1,* Qi Wang,1,* Yingjuan Luo,1 Xin Wang,1 Xiuhua Huang,1 Jiajia Zhang,1 Jieru Peng,1 Qin Wang,1 Li Fan,1 Wen Li,1 Junrong Huo,1 Tianjiao Liu,1 Yalan Li,2 Yonghong Lin,1 Xiao Yang1 1Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, People’s Republic of China; 2The Fourth People’s Hospital of Chengdu, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiao Yang; Yonghong Lin, Chengdu Women’s and Children’s Central Hospital, 1617 Riyue Avenue, Qingyang District, Chengdu, 611731, Sichuan, People’s Republic of China, Tel +86 13882288881 ; +86 13808031895, Email [email protected]; [email protected]: Fever is one of the most typical clinical symptoms of coronavirus disease 2019 (COVID-19), and non-contact infrared thermometers (NCITs) are commonly used to screen for fever. However, there is a lack of authoritative data to define a “fever” when an NCIT is used and previous studies have shown that NCIT readings fluctuate widely depending on ambient temperatures and the body surface site screened. The aim of this study was to establish cut-off points for normal temperatures of different body sites (neck, forehead, temples, and wrist) and investigate the accuracy of NCITs at various ambient temperatures to improve the standardization and accuracy of fever screening.Patients and Methods: A prospective investigation was conducted among 904 participants in the outpatient and emergency departments of Chengdu Women’s and Children’s Central Hospital. Body temperature was measured using NCITs and mercury axillary thermometers. A receiver operating characteristic curve was used to determine the accuracy of body temperature detection at the four body surface sites. Data on participant characteristics were also collected.Results: Among the four surface sites, the neck temperature detection group had the highest accuracy. When the neck temperature was 37.35°C as the optimum fever diagnostic threshold, the sensitivity was 0.866. The optimum fever diagnostic thresholds for forehead, temporal, and wrist temperature were 36.65°C, 36.65°C, and 36.75°C, respectively. Moreover, triple neck temperature detection had the highest sensitivity, up to 0.998, whereas the sensitivity of triple wrist temperature detections was 0.949. Notably, the accuracy of NCITs significantly reduced when the temperature was lower than 18°C.Conclusion: Neck temperature had the highest accuracy among the four NCIT temperature measurement sites, with an optimum fever diagnostic threshold of 37.35°C. Considering the findings reported in our study, we recommend triple neck temperature detection with NCITs as the fever screening standard for COVID-19.Keywords: COVID-19, epidemiology, fever, infrared rays, mass screening
