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Digital Transformation in Musculoskeletal Ultrasound: Acceptability of Blended Learning.
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.
Affiliation
  • Weimer AM; Clinic for Trauma and Reconstructive Surgery, University Clinic Heidelberg, 69118 Heidelberg, Germany.
  • Berthold R; Group Practice of Physicians Spilburg Wetzlar, Department of Orthopedics, 35578 Wetzlar, Germany.
  • Schamberger C; Clinic for Trauma and Reconstructive Surgery, University Clinic Heidelberg, 69118 Heidelberg, Germany.
  • Vieth T; Rudolf Frey Learning Clinic, University Medical Centre of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
  • Balser G; Rudolf Frey Learning Clinic, University Medical Centre of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
  • Berthold S; Department for Orthopaedics and Trauma Surgery, University Medical Centre Mannheim, 68167 Mannheim, Germany.
  • Stein S; Clinic for Trauma and Reconstructive Surgery, University Clinic Heidelberg, 69118 Heidelberg, Germany.
  • Müller L; Department of Diagnostic and Interventional Radiology, University Medical Centre of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
  • Merkel D; BIKUS-Brandenburg Institute for Clinical Ultrasound, Brandenburg Medical School Theodor Fontane (MHB), 16816 Neuruppin, Germany.
  • Recker F; Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, 53127 Bonn, Germany.
  • Schmidmaier G; Clinic for Trauma and Reconstructive Surgery, University Clinic Heidelberg, 69118 Heidelberg, Germany.
  • Rink M; Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Regensburg, 93053 Regensburg, Germany.
  • Künzel J; Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Regensburg, 93053 Regensburg, Germany.
  • Kloeckner R; Institute of Interventional Radiology, University Hospital Schleswig-Holstein-Campus Lübeck, 23538 Luebeck, Germany.
  • Weimer J; Rudolf Frey Learning Clinic, University Medical Centre of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Diagnostics (Basel) ; 13(20)2023 Oct 20.
Article in En | MEDLINE | ID: mdl-37892093
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: Country of publication: