Evidence map›Paper›PMID 35138260›Full record

ArticleJMIR medical education2022

Digital Teaching in Medical Education: Scientific Literature Landscape Review.

Andy Wai Kan Yeung, Emil D Parvanov, Mojca Hribersek, Fabian Eibensteiner, Elisabeth Klager, Maria Kletecka-Pulker, Bernhard Rössler, Karl Schebesta, Harald Willschke, Atanas G Atanasov and 1 more

Abstract read
In one paragraph

Article in JMIR medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Observational
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  7. Review
  8. Review
  9. Article
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  12. Observational
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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

11 authors.

Andy Wai Kan YeungLudwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-3672-357X
Emil D ParvanovLudwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-6744-0949
Mojca HribersekLudwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-8200-1968
Fabian EibensteinerLudwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-5012-3082
Elisabeth KlagerLudwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-0722-1255
Maria Kletecka-PulkerLudwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-4901-7930
Bernhard RösslerDepartment of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-1533-5546
Karl SchebestaDepartment of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-4080-0099
Harald WillschkeLudwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-9093-7563
Atanas G AtanasovLudwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-2545-0967
Eva SchadenLudwig Boltzmann Institute for Digital Health and Patient Safety, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-7571-8680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital teaching in medical education has grown in popularity in the recent years. However, to the best of our knowledge, no bibliometric report to date has been published that analyzes this important literature set to reveal prevailing topics and trends and their impacts reflected in citation counts.

objectiveWe used a bibliometric approach to unveil and evaluate the scientific literature on digital teaching research in medical education, demonstrating recurring research topics, productive authors, research organizations, countries, and journals. We further aimed to discuss some of the topics and findings reported by specific highly cited works.

methodsThe Web of Science electronic database was searched to identify relevant papers on digital teaching research in medical education. Basic bibliographic data were obtained by the "Analyze" and "Create Citation Report" functions of the database. Complete bibliographic data were exported to VOSviewer for further analyses. Visualization maps were generated to display the recurring author keywords and terms mentioned in the titles and abstracts of the publications.

resultsThe analysis was based on data from 3978 papers that were identified. The literature received worldwide contributions with the most productive countries being the United States and United Kingdom. Reviews were significantly more cited, but the citations between open access vs non-open access papers did not significantly differ. Some themes were cited more often, reflected by terms such as virtual reality, innovation, trial, effectiveness, and anatomy. Different aspects in medical education were experimented for digital teaching, such as gross anatomy education, histology, complementary medicine, medicinal chemistry, and basic life support. Some studies have shown that digital teaching could increase learning satisfaction, knowledge gain, and even cost-effectiveness. More studies were conducted on trainees than on undergraduate students.

conclusionsDigital teaching in medical education is expected to flourish in the future, especially during this era of COVID-19 pandemic.

Indexed as

anatomyaugmented realitybasic life supportbibliometriccitationdigital teachinglife supportliteraturemedical educationmedicineonline learningsatisfactiontrendvirtual reality

Identifiers

PMID35138260
PMCPMC8867298

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.