ABSTRACT
Purpose 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.
ABSTRACT
BACKGROUND: The COVID-19 is a public health issue all over the world. It is an unprecedented challenge for society. Frontline medical staff are at high risk of mental health problems due to the overwhelming workload, worry of infection, and inadequate protective instruments. The study is to investigate the psychological status of medical staff in a women and children's hospital in non-epicenter of COVID-19 during the early stage of the COVID-19 outbreak. METHODS: A total of 2,143 hospital medical staff participated in a cross-sectional online survey. Psychological response levels were assessed using the Psychological Questionnaire on Emergency Events in Public Health (PQEEPH), and mental health status was measured using the Generalized Anxiety Disorder-7 (GAD-7) scale. RESULTS: Eligible responses were received from 1,890 (90.6%) women and 197 (9.4%) men. In total, 10.3% of respondents rated the psychological impact of the outbreak as moderate or severe, and 4% reported severe anxiety symptoms. CONCLUSIONS: Our findings indicated that the majority of the medical staff are in great level of mental health. The study demonstrates that females, the 31-40 age group, and those who have been widowed experienced greater levels of anxiety and therefore require more support. Furthermore, the cognition of medical workers might affect their emotional reactions. Measures to decrease anxiety during emergency outbreaks should therefore include communication strategies.