Publication

Behind the Mask: Emotion Recognition in Healthcare Students

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Last modified
  • 05/20/2025
Type of Material
Authors
    Stephen Nowicki Jr., Emory UniversityMarco Bani, Università degli Studi di Milano-BicoccaSelena Russo, Università degli Studi di Milano-BicoccaStefano Ardenghi, Università degli Studi di Milano-BicoccaGiulia Rampoldi, Università degli Studi di Milano-BicoccaVirginia Wickline, Georgia Southern University–Armstrong CampusStephen Nowicki, Emory UniversityMaria Grazia Strepparava, Università degli Studi di Milano-Bicocca
Language
  • English
Date
  • 2021-08-01
Publisher
  • Emory University Libraries
Publication Version
Copyright Statement
  • © International Association of Medical Science Educators 2021
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 31
Issue
  • 4
Start Page
  • 1273
End Page
  • 1277
Grant/Funding Information
  • This study was supported by the University of Milano-Bicocca [grant number: 2020-ATE-0171].
Abstract
  • Current widespread facemask usage profoundly impacts clinical practice and healthcare education where communicational dimensions are essential to the care and teaching processes. As part of a larger study, 208 medical and nursing students were randomly assigned to a masked vs unmasked version of the standardized facial emotion recognition task DANVA2. A significantly higher number of errors existed in the masked vs unmasked condition. Differences for happy, sad, and angry faces, but not for fearful faces, existed between conditions. Misinterpretation of facial emotions can severely affect doctor-patient and inter-professional communication in healthcare. Teaching communication in medical education must adapt to the current universal use of facemasks in professional settings.
Author Notes
Keywords
Research Categories
  • Psychology, General
  • Health Sciences, Medicine and Surgery

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