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1000
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Abstract/Summary
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Background!#!The first wave of the SARS-CoV‑2 pandemic required substantial changes in the teaching of medical students, with strict avoidance of direct contact between students and patients. Therefore, the teaching format 'bedside teaching' was implemented and conducted as an interactive video-based distance bedside teaching.!##!Objective!#!The objective of this study was to analyze a students' evaluation of this teaching concept in otorhinolaryngology.!##!Materials and methods!#!From an ENT examination room, the situation was transmitted live to the students in a lecture hall, who could interact with the patients through a video connection. Macro-, micro-, and endoscopic images were transmitted into the lecture hall in real time. Evaluation was performed by means of an online questionnaire with 13 questions (Likert scale) as well as by free-text feedback.!##!Results!#!The response rate was 16.8% (42 of 250 students). Overall, 85.7% had a positive impression, and it was generally considered that the concept was well implemented in light of the special situation. However, students would rather not renounce direct patient contact, even if a certain compensation by video transmission was reported. Overall, this teaching concept was considered as educative, and students could imagine using such a teaching concept more often in the future.!##!Conclusion!#!This teaching model cannot replace classical bedside teaching, but represents a good alternative-particularly in otorhinolaryngology-if classical bedside teaching is not possible due to the pandemic situation. Aspects of the interactive video-based distance bedside teaching could be implemented into classical teaching concepts in the future.
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1000
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Hinweis
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DeepGreen-ID: 0cbb84ec4181438eb4defcbd82247de6 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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