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Influence of Hospital Environmental Variables on Thermometric Measurements and Level of Concordance: A Cross-Sectional Descriptive Study

Author

Listed:
  • Candelaria de la Merced Díaz-González

    (Department of Nursing, Faculty of Health Sciences, University of Las Palmas de Gran Canaria, 35001 Las Palmas de Gran Canaria, Spain)

  • Noa Mateos-López

    (Unit of Orthopaedic and Trauma Surgery, Hospital Insular de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain)

  • Milagros De la Rosa-Hormiga

    (Department of Nursing, Faculty of Health Sciences, University of Las Palmas de Gran Canaria, 35001 Las Palmas de Gran Canaria, Spain)

  • Gloria Carballo-Hernández

    (Unit of Orthopaedic and Trauma Surgery, Hospital Insular de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain)

Abstract

During a pandemic, and given the need to quickly screen febrile and non-febrile humans, it is necessary to know the concordance between different thermometers (TMs) and understand how environmental factors influence the measurements made by these instruments. Objective: The objective of this study is to identify the potential influence of environmental factors on the measurements made by four different TMs and the concordance between these instruments in a hospital setting. Method: The study employed a cross-sectional observational methodology. The participants were patients who had been hospitalised in the traumatology unit. The variables were body temperature, room temperature, room relative humidity, light, and noise. The instruments used were a Non Contract Infrared TM, Axillary Electronic TM, Gallium TM, and Tympanic TM. A lux meter, a sound level meter, and a thermohygrometer measured the ambient variables. Results: The study sample included 288 participants. Weak significant relationships were found between noise and body temperature measured with Tympanic Infrared TM, r = −0.146 ( p < 0.01) and likewise between environmental temperature and this same TM, r = 0.133 ( p < 0.05). The concordance between the measurements made by the four different TMs showed an Intraclass Correlation Coefficient (ICC) of 0.479. Conclusions: The concordance between the four TMs was considered “fair”.

Suggested Citation

  • Candelaria de la Merced Díaz-González & Noa Mateos-López & Milagros De la Rosa-Hormiga & Gloria Carballo-Hernández, 2023. "Influence of Hospital Environmental Variables on Thermometric Measurements and Level of Concordance: A Cross-Sectional Descriptive Study," IJERPH, MDPI, vol. 20(5), pages 1-15, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4665-:d:1089239
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    Cited by:

    1. Juan Botero-Valencia & Adrian Martinez-Perez & Ruber Hernández-García & Luis Castano-Londono, 2023. "Exploring Spatial Patterns in Sensor Data for Humidity, Temperature, and RSSI Measurements," Data, MDPI, vol. 8(5), pages 1-13, April.

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