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The Perceived Influence of the COVID-19 Pandemic on the Medical Education of Residents in 2021 and 2022.

Anne BertholdLarissa LuchsingerMichael Siegrist
Published in: Journal of graduate medical education (2024)
Background Recent studies reported how the COVID-19 pandemic influenced the medical education community. However, little is known about the further influence of the pandemic over time and about the impact across the different medical disciplines. Objective Our objective was to investigate how residents working in different disciplines and on different tracks (full- vs part-time) perceived the influence of the COVID-19 pandemic in 2021 and 2022 on their education. Methods The data were collected with a questionnaire (developed by the Swiss Federal Institute of Technology and the Swiss Institute for Medical Education) as part of the Swiss national annual survey on medical education. We assessed the influence of the pandemic on medical residents from different specialties in 2021 and 2022 with 3 items: global effect on education, available time for education, and effect on teaching. Results The questionnaire had a response rate of 70% (8496 of 12 137) in 2021 and 2022 (8823 of 12 604). In 2021, residents reported that the pandemic had a negative influence (3.5 of 5; P <.001; 95% CI 0.49, 0.53) and impaired their education. The negative influence declined ( t =7.91; P <.001; 95% CI 0.07, 0.11) but remained noticeable in 2022 (3.4 of 5; P <.001; 95% CI 0.41, 0.44). This pattern of results was similar among the different medical specialties. In both years, residents working full-time reported a more severe influence of the pandemic than those working part-time (eg, in 2021 impaired education: 3.1 of 4 vs 2.9 of 4; P <.01; 95% CI -0.26, -0.14). Conclusions The negative influence of the pandemic declined across all medical disciplines.
Keyphrases
  • medical education
  • healthcare
  • sars cov
  • coronavirus disease
  • quality improvement
  • mental health
  • physical activity
  • machine learning
  • early onset
  • electronic health record
  • big data