Evidence map›Paper›PMID 34218924›Full record

ArticleClinical radiology2021

Can training in diagnostic radiology be moved online during the COVID-19 pandemic? UK trainee perceptions of the Radiology-Integrated Training Initiative (R-ITI) e-learning platform.

N Upadhyay, J C R Wadkin

Abstract read
In one paragraph

Article in Clinical radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

N UpadhyayCharing Cross Hospital, Imperial College Healthcare NHS Trust, Fulham Palace Rd, Hammersmith, London, W6 8RF, UK.
J C R WadkinCharing Cross Hospital, Imperial College Healthcare NHS Trust, Fulham Palace Rd, Hammersmith, London, W6 8RF, UK. Electronic address: james.wadkin1@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo assess trainee perceptions of the Radiology-Integrated Training Initiative (R-ITI)) e-learning modules. MATERIALS AND

methodsA mixed methodology approach was used, with triangulation between a thematic analysis of eight semi-structured interviews from radiology trainees and trainers, and a contextual analysis of 60 free-text feedback comments and module ratings from trainees after completion of R-ITI modules.

resultsThree broad themes emerged: "learning the subject matter", "learning the role," and "e-learning preferences". Superficial learning techniques were prevalent when "learning the subject matter" during early training, with e-learning resources providing a good pedagogical fit for this learning. Much of what was considered "learning the role" of the radiologist was learned at the workplace. This included topics with inherent subjectivity, which were difficult to convey with e-learning. Trainees' "e-learning preferences" favoured modules that incorporated many imaging cases with layer annotation, clinical relevance, and self-assessment.

conclusionsThe ease of reproducing imaging studies using the R-ITI platform represents a huge potential for e-learning. Content tailored to the learning needs of the trainee, the appropriateness of the subject matter for an online platform, and the design of the e-learning modules are important considerations. Radiology training also involves important tacit learning and discussions around subjective topics, which are difficult to capture on this platform.

Indexed as

Clinical CompetenceComputer-Assisted InstructionCOVID-19Education, DistanceEducation, Medical, GraduateHumansInterviews as TopicPandemicsRadiologySARS-CoV-2Students, MedicalUnited Kingdom

Identifiers

PMID34218924
PMCPMC8492024

What OpenQuestion holds

Textmetadata
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.