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Authors: Weimer, Andreas Michael
Berthold, Rainer
Schamberger, Christian
Vieth, Thomas
Balser, Gerd
Berthold, Svenja
Stein, Stephan
Müller, Lukas
Merkel, Daniel
Recker, Florian
Schmidmaier, Gerhard
Rink, Maximilian
Künzel, Julian
Kloeckner, Roman
Weimer, Johannes
Title: Digital transformation in musculoskeletal ultrasound : acceptability of blended learning
Online publication date: 19-Feb-2024
Year of first publication: 2023
Language: english
Abstract: Background: ultrasound diagnostics have a broad spectrum of applications, including among diseases of the musculoskeletal system. Accordingly, it is important for the users to have a well-founded and up-to-date education in this dynamic examination method. The right balance between online and in-class teaching still needs to be explored in this context. Certifying institutions are currently testing digitally transformed teaching concepts to provide more evidence. Methods: this study compared two musculoskeletal ultrasound blended learning models. Model A was more traditional, with a focus on in-person teaching, while Model B was more digitally oriented with compulsory webinar. Both used e-learning for preparation. Participants completed evaluations using a seven-point Likert scale, later converted to a 0–1 scale. Digital teaching media (e-learning) were used for preparation in both courses. Results: the analysis included n = 41 evaluations for Model A and n = 30 for Model B. Model B received a better overall assessment (median: 0.73 vs. 0.69, p = 0.05). Model B also excelled in “course preparation” (p = 0.02), “webinar quality” (p = 0.04), and “course concept” (p = 0.04). The “gain of competence” (p = 0.82), “learning materials” (p = 0.30), and “tutor quality” (p = 0.28) showed no significant differences. Conclusion: participants favorably assessed blended learning in ultrasound teaching. Certifying institutions should consider accrediting models that combine digital methods (e.g., internet lectures/webinars) and materials (e.g., e-learning) with hands-on ultrasound training. Further research is needed to validate these subjective findings for a stronger evidential basis.
DDC: 610 Medizin
610 Medical sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 04 Medizin
Place: Mainz
Version: Published version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: CC BY
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Journal: Diagnostics
Pages or article number: 3272
Publisher: MDPI
Publisher place: Basel
Issue date: 2023
ISSN: 2075-4418
Publisher DOI: 10.3390/diagnostics13203272
Appears in collections:DFG-491381577-G

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