Evidence map›Paper›PMID 42558105›Full record

ArticleJournal of medical extended reality2024

Understanding, Experience, and Attitudes Toward Extended Reality Technology: A Multicenter Study.

Jonathan R Abbas, Oliver G Townley, Azita Rajai, Antony Payton, Brendan A McGrath, Neil Tolley, Iain A Bruce, Rachel Isba

Abstract read
In one paragraph

Article in Journal of medical extended reality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Jonathan R AbbasFaculty of Biology, Medicine, and Human Health, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0002-7870-2980
Oliver G TownleyStockport NHS Foundation Trust, Manchester, UK.
Azita RajaiResearch and Innovation, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
Antony PaytonFaculty of Biology, Medicine, and Human Health, The University of Manchester, Manchester, UK.
Brendan A McGrathFaculty of Biology, Medicine, and Human Health, The University of Manchester, Manchester, UK.
Neil TolleyImperial College Healthcare NHS Trust, London, UK.
Iain A BruceFaculty of Biology, Medicine, and Human Health, The University of Manchester, Manchester, UK.
Rachel IsbaLancaster Medical School, Lancaster University, Lancaster UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extended reality technology (XRT) is predicted to play an important role in the future of health care. Although the hardware ecosystem is evolving rapidly, potential barriers to adoption include cost, physical space to use the hardware, side effects, and low understanding of the technology. This article aimed to explore these barriers by assessing the understanding, attitudes, and experience of junior doctors. In this multi-method, cross-sectional study, we administered a bespoke data capture tool to junior doctors in the North West of England. This focused on three domains: understanding, experience, and attitudes toward XRT in health care. Understanding was assessed by an objective knowledge test in a multiple-choice question format and specific self-assessed knowledge questions in a Likert-style questionnaire. Experience and attitudes toward XRT were measured using self-assessed experience questions and self-assessed attitude questions within the same Likert-style questionnaire. A total of 199/224 (89%) doctors who were approached participated in this study. The mean objective knowledge test score was 4.3/10 (range: 0.0-8.0; standard deviation = 1.7) and the median self-assessed knowledge questions score was 3.0/6.0 (interquartile range [IQR]: 2.0-4.0). The median self-assessed experience questions score was 2.2/6.0 (IQR: 1.5-3.5). In terms of attitude toward this technology, 185/199 (93.0%) of participants were interested in using this technology in medical education and similarly, 187/199 (94.0%) believed that it may be effective in medical training. This study demonstrated a low understanding of, and experience with, XRT in a population of junior doctors. Despite this, there was considerable interest in the potential value of this technology in health care, particularly within education. If XRT is to be widely adopted across the National Health Services, work is required to raise awareness of the technology, capabilities, and associated limitations.

Indexed as

digital literacyeducationmedical educationvirtual reality

Identifiers

PMID42558105
PMCPMC13387220

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.