Evidence map›Paper›PMID 39372503›Full record

ArticleAdvances in medical education and practice2024

A Picture Paints a Thousand Words: Perspectives of the Use of Images and Videos of Physical Findings in Virtual OSCE Teaching Sessions.

Yew Ern Au, Cheuk Ying Li, Nishaanth Dalavaye, Aarij Elahi, Rohan Vyas, Ravanth Baskaran, Stephen Mark Rutherford

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yew Ern AuSchool of Medicine, Cardiff University, Cardiff, UK.
Cheuk Ying LiSchool of Medicine, Cardiff University, Cardiff, UK.ORCID 0009-0001-1981-9812
Nishaanth DalavayeSchool of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-2658-0501
Aarij ElahiSchool of Medicine, Cardiff University, Cardiff, UK.
Rohan VyasBart's and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Ravanth BaskaranSchool of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0002-8012-0322
Stephen Mark RutherfordSchool of Biosciences, Cardiff University, Cardiff, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has resulted in medical students' education being disrupted and a new direction of learning towards the online classroom, with students frequently learning to identify clinical signs via online conferencing platforms. Given this shift in student study techniques in the pandemic and post-pandemic era, we set out to analyse the confidence levels of students recognizing clinical signs in patients and the opinions and patterns of resources students would use to build up the knowledge and confidence for their future clinical practice. Methods: OSCEazy, a student-led medical education organisation, delivered an online teaching session and disseminated a questionnaire containing ten-point Likert scales, multiple-choice questions and free text options. Results: The majority (over 75%) of respondents reported using digital resources to learn physical examinations. Most respondents were somewhat confident with recognising clinical signs during physical examinations (Median 7, IQR 6-8). Kruskal-Wallis Conclusion: The findings reported here suggest that there needs to be a greater emphasis on providing online image-based resources to support medical students in learning clinical signs. A resource containing these clinical signs would prove to be of benefit for students to access high-quality self-directed learning to identify and verify clinical signs.

Indexed as

clinicalmedical educationmulti-mediaonlineteachingvisual

Identifiers

PMID39372503
PMCPMC11453138

What OpenQuestion holds

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Registered trials

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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.