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Medical Studies during the COVID-19 Pandemic: The Impact of Digital Learning on Medical Students’ Burnout and Mental Health

Author

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  • Panagiotis Zis

    (Medical School, University of Cyprus, 2029 Nicosia, Cyprus
    These authors contributed equally to this work and share first authorship.)

  • Artemios Artemiadis

    (Medical School, University of Cyprus, 2029 Nicosia, Cyprus
    These authors contributed equally to this work and share first authorship.)

  • Panagiotis Bargiotas

    (Medical School, University of Cyprus, 2029 Nicosia, Cyprus)

  • Antonios Nteveros

    (Medical School, University of Cyprus, 2029 Nicosia, Cyprus)

  • Georgios M. Hadjigeorgiou

    (Medical School, University of Cyprus, 2029 Nicosia, Cyprus)

Abstract

Objectives: The aim of this ecological study was to investigate what the impact of digital learning due to the COVID-19 pandemic was on the burnout and overall mental health (MH) of medical students. Background: During the unprecedented era of the COVID-19 pandemic, the majority of countries worldwide adopted very strong measures. Universities closed their doors, and education continued through digital learning lectures. Methods: An anonymous questionnaire was administered to all 189 eligible candidates before and during the COVID-19 pandemic. Mental health was assessed via the MH domain of the 36-item Short Form Health Survey (SF-36) and burnout with the Maslach Burnout Inventory—Student Survey (MBI-SS). Results: The overall response rate was 81.5%. The overall burnout prevalence did not differ significantly between the two periods (pre-COVID-19 18.1% vs. COVID-19 18.2%). However, the burnout prevalence dropped significantly in year 4 (pre-COVID-19 40.7% vs. COVID-19 16.7%, p = 0.011), whereas it increased significantly in year 6 (pre-COVID-19 27.6% vs. COVID-19 50%, p = 0.01). When looking at each MBI-SS dimension separately, we found that emotional exhaustion decreased significantly in year 4 but increased in year 6, and cynicism increased in all years. The overall MH deteriorated significantly between the two periods (pre-COVID-19 58.8 ± 21.6 vs. COVID-19 48.3 ± 23, p < 0.001). Conclusions: Digital learning in medical studies carries significant risks. Not only does the MH deteriorate, but cynicism levels also increase. Emotional exhaustion was found to increase particularly in final year students, who struggle with the lack of clinical experience just before they start working as qualified junior doctors.

Suggested Citation

  • Panagiotis Zis & Artemios Artemiadis & Panagiotis Bargiotas & Antonios Nteveros & Georgios M. Hadjigeorgiou, 2021. "Medical Studies during the COVID-19 Pandemic: The Impact of Digital Learning on Medical Students’ Burnout and Mental Health," IJERPH, MDPI, vol. 18(1), pages 1-8, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:1:p:349-:d:475085
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    References listed on IDEAS

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    1. Kim Usher & Navjot Bhullar & Debra Jackson, 2020. "Life in the pandemic: Social isolation and mental health," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(15-16), pages 2756-2757, August.
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    3. Ke Ran Tee & Abdul Samat Ismail & Yong Heng Ang & Hidayah Husna Hishamuddin & Vinneeshah Jacob Paul & Azimatun Noor Aizuddin & Ida Zarina Zaini, 2022. "Prevalence of Anxiety and Burnout, and Coping Mechanisms among Clinical Year Medical Undergraduate Students in Universiti Kebangsaan Malaysia Amidst the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
    4. Piotr Długosz & Damian Liszka, 2021. "The Relationship between Mental Health, Educational Burnout and Strategies for Coping with Stress among Students: A Cross-Sectional Study of Poland," IJERPH, MDPI, vol. 18(20), pages 1-11, October.
    5. Anne Theurel & Arnaud Witt & Rebecca Shankland, 2022. "Promoting University Students’ Mental Health through an Online Multicomponent Intervention during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(16), pages 1-15, August.
    6. Kwiatkowska-Ciotucha Dorota & Załuska Urszula, 2023. "Remote Education during the Covid-19 Pandemic in the Opinion of Students," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 27(2), pages 1-20, June.
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