Evidence map›Paper›PMID 37892093›Full record

ArticleDiagnostics (Basel, Switzerland)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 and 5 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 1 country.

Andreas Michael WeimerClinic for Trauma and Reconstructive Surgery, University Clinic Heidelberg, 69118 Heidelberg, Germany.
Rainer BertholdGroup Practice of Physicians Spilburg Wetzlar, Department of Orthopedics, 35578 Wetzlar, Germany.
Christian SchambergerClinic for Trauma and Reconstructive Surgery, University Clinic Heidelberg, 69118 Heidelberg, Germany.
Thomas ViethRudolf Frey Learning Clinic, University Medical Centre of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Gerd BalserRudolf Frey Learning Clinic, University Medical Centre of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Svenja BertholdDepartment for Orthopaedics and Trauma Surgery, University Medical Centre Mannheim, 68167 Mannheim, Germany.
Stephan SteinClinic for Trauma and Reconstructive Surgery, University Clinic Heidelberg, 69118 Heidelberg, Germany.
Lukas MüllerDepartment of Diagnostic and Interventional Radiology, University Medical Centre of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Daniel MerkelBIKUS-Brandenburg Institute for Clinical Ultrasound, Brandenburg Medical School Theodor Fontane (MHB), 16816 Neuruppin, Germany.
Florian ReckerDepartment of Obstetrics and Prenatal Medicine, University Hospital Bonn, 53127 Bonn, Germany.
Gerhard SchmidmaierClinic for Trauma and Reconstructive Surgery, University Clinic Heidelberg, 69118 Heidelberg, Germany.
Maximilian RinkDepartment of Otorhinolaryngology, Head and Neck Surgery, University Hospital Regensburg, 93053 Regensburg, Germany.
Julian KünzelDepartment of Otorhinolaryngology, Head and Neck Surgery, University Hospital Regensburg, 93053 Regensburg, Germany.ORCID 0000-0002-4402-0287
Roman KloecknerInstitute of Interventional Radiology, University Hospital Schleswig-Holstein-Campus Lübeck, 23538 Luebeck, Germany.ORCID 0000-0001-5492-4792
Johannes WeimerRudolf Frey Learning Clinic, University Medical Centre of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.ORCID 0000-0003-3759-8176
Heidelberg University · DEJohannes Gutenberg University Mainz · DEUniversity Hospital Regensburg · DEMedizinische Hochschule Brandenburg Theodor Fontane · DEUniversity Hospital Bonn · DEUniversity Hospital Schleswig-Holstein · DEUniversity Medical Centre Mannheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundultrasound 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.

methodsthis 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.

resultsthe analysis included

conclusionparticipants 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.

Indexed as

blended learningdigitalizationdigital transformatione-learningmusculoskeletal ultrasoundteachingultrasoundultrasound educationwebinar

Identifiers

PMID37892093
PMCPMC10606223
OpenAlexW4387806628

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.