Evidence map›Paper›PMID 40325902›Full record

ArticleJournal of medical radiation sciences2025

Comparing Clinical Preparedness of Newly Qualified Diagnostic Radiographers Trained With Immersive Virtual Reality vs. Traditional Simulation: A Mixed-Methods Study.

Hossein Karimi, Samantha Clarke, Emily Watson

Abstract readComparative Study
In one paragraph

Article in Journal of medical radiation sciences, 2025. 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. Review
  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

3 authors.

Hossein KarimiSan Juan de Dios Hospital, Santiago, Chile.ORCID https://orcid.org/0009-0006-1272-3523
Samantha ClarkeSan Juan de Dios Hospital, Santiago, Chile.
Emily WatsonSan Juan de Dios Hospital, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPreparing diagnostic radiographers for clinical roles is vital to ensure readiness for real-world scenarios. Traditional simulation methods have been central to radiography education, but virtual reality (VR) technology introduces immersive and dynamic environments that may enhance clinical preparedness. This study compares the perceptions of clinical preparedness among newly qualified radiographers trained with VR by Virtual Medical Coaching and traditional simulation methods.

methodsA mixed-methods comparative study was conducted with 80 newly qualified radiographers from two universities. Forty were trained using VR, and forty with traditional methods. Participation in the assigned simulation methods was mandatory, but students could opt out of having their responses recorded. All invited students consented to inclusion in the study. Data were collected through semi-structured interviews, focus groups and objective performance measures, including input from heads of departments. Thematic analysis identified key themes in qualitative data, while quantitative data were analysed using mixed-effects models, two-way ANOVA and t-tests.

resultsThe mixed-effects model showed that VR-trained students had significantly higher clinical preparedness scores (β = 0.905, SE = 0.106, z = 8.513, p < 0.001). T-tests revealed that VR-trained students scored higher in confidence, adaptability, technical proficiency and problem-solving skills (p < 0.0001). VR-trained radiographers also outperformed their traditionally trained counterparts in supervisor evaluations, radiograph quality and emergency performance.

conclusionVR training enhances confidence, adaptability and technical proficiency in newly qualified radiographers. Its immersive nature, combined with immediate feedback, contributes to improved clinical preparedness. This study highlights the potential benefits of incorporating VR into radiography education.

Indexed as

Allied Health PersonnelClinical CompetenceVirtual RealityAdultFemaleHumansMaleclinical competencediagnostic imagingradiographyradiography educationvirtual reality

Identifiers

PMID40325902
PMCPMC12449592

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.