Diagnostics (Oct 2023)

Digital Transformation in Musculoskeletal Ultrasound: Acceptability of Blended Learning

  • Andreas Michael Weimer,
  • Rainer Berthold,
  • Christian Schamberger,
  • Thomas Vieth,
  • Gerd Balser,
  • Svenja Berthold,
  • Stephan Stein,
  • Lukas Müller,
  • Daniel Merkel,
  • Florian Recker,
  • Gerhard Schmidmaier,
  • Maximilian Rink,
  • Julian Künzel,
  • Roman Kloeckner,
  • Johannes Weimer

DOI
https://doi.org/10.3390/diagnostics13203272
Journal volume & issue
Vol. 13, no. 20
p. 3272

Abstract

Read online

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.

Keywords