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Undergraduate experience of ENT teaching during the coronavirus disease 2019 pandemic: a qualitative study

Published online by Cambridge University Press:  28 June 2021

M Walker*
Affiliation:
Department of ENT, Manchester University NHS Foundation Trust and University of Manchester, Manchester, UK
E Stapleton
Affiliation:
Department of ENT, Manchester University NHS Foundation Trust and University of Manchester, Manchester, UK
*
Author for correspondence: Dr Megan Walker, Manchester Royal Infirmary, Oxford Road, Manchester, M13 9WL, UK E-mail: meganwalker@doctors.org.uk
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Abstract

Background

Coronavirus disease 2019 has transformed medical education worldwide. Innovations in ENT teaching for medical students have focused on virtual learning, often replacing history-taking, patient examination and practical procedure observation. This qualitative study aimed to evaluate student experience and the impact of the altered learning environment.

Methods

Open-ended questionnaires were sent to students following ENT placements from March 2020 to March 2021. Responses were qualitatively analysed and coded using a grounded theory approach. Iterative cycles were used to develop codes via a constant comparison technique. Emerging categories from codes were refined to identify core themes.

Results

Core themes were explored, including: reduced clinical experience and patient contact compared with student expectations; challenges to learning opportunities in ENT; and the experience of different teaching methods, or preference for face-to-face teaching.

Conclusion

Medical students on ENT placement have expectations of patient contact for learning opportunities. ENT departments should ensure that patient contact and face-to-face learning opportunities are facilitated, while maintaining safety, including appropriate personal protective equipment provision.

Information

Type
Main Articles
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Fig. 1. Word cloud showing sub-themes identified from qualitative data, coded and exported using the Dedoose desktop application. More frequently expressed themes are displayed proportionately larger than less frequently expressed sub-themes. Covid-19 = coronavirus disease 2019

Figure 1

Table 1. Summary of data*