Evidence map›Paper›PMID 36066086›Full record

ArticleMedical education online2022

Asynchronous online learning as a key tool to adapt to new educational needs in radiology during the COVID-19 pandemic.

Pau Xiberta, Imma Boada, Santiago Thió-Henestrosa, Salvador Pedraza, Víctor Pineda

Abstract read
In one paragraph

Article in Medical education online, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Pau XibertaGraphics and Imaging Laboratory, Universitat de Girona, Girona, Catalonia.ORCID 0000-0003-4876-0562
Imma BoadaGraphics and Imaging Laboratory, Universitat de Girona, Girona, Catalonia.ORCID 0000-0002-0001-8193
Santiago Thió-HenestrosaDepartament d'Informàtica, Matemàtica Aplicada i Estadística, Universitat de Girona, Girona, Catalonia.
Salvador PedrazaCentre de Diagnòstic per la Imatge, Hospital Clínic de Barcelona, Barcelona, Catalonia.
Víctor PinedaDepartment of Radiology and IDIBGI, Hospital Universitari Dr Josep Trueta (Institut de Diagnòstic per la Imatge), Girona, Catalonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk of contagion and the lockdown caused by the COVID-19 pandemic forced a change in teaching methodologies in radiology. New knowledge about the disease that was being acquired on a daily basis needed to be rapidly spread worldwide, but the restrictions imposed made it difficult to share this information. This paper describes the methodology applied to design and launch a practice-based course on chest X-ray suggestive of COVID-19 right after the pandemic started, and aims to determine whether asynchronous online learning tools for radiology education are useful and acceptable to general practitioners and other medical personnel during a pandemic. The study was carried out from April to October 2020 and involved 2632 participants. Pre- and post-testing was used to assess the participants' gain of knowledge in the course content (paired t-tests and chi-squared tests of independence). A five-point Likert scale questionnaire inspired by the technological acceptance model (TAM) was provided to evaluate the e-learning methodology (ANOVA tests). The results from the pre- and post-tests showed that there were significant differences in the scores before and after completing the course (sample size = 2632, response rate = 56%,

Indexed as

COVID-19Education, DistanceRadiologyCommunicable Disease ControlHumansPandemicsAsynchronous online e-learningchest X-ray (CXR)continuing medical education (CME)COVID-19 pandemicradiology training

Identifiers

PMID36066086
PMCPMC9467610

What OpenQuestion holds

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LicenceCC BY
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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.