Evidence map›Paper›PMID 33500959›Full record

ArticleFrontiers in robotics and AI2018

A Study of Professional Awareness Using Immersive Virtual Reality: The Responses of General Practitioners to Child Safeguarding Concerns.

Xueni Pan, Tara Collingwoode-Williams, Angus Antley, Harry Brenton, Benjamin Congdon, Olivia Drewett, Marco F P Gillies, David Swapp, Pascoe Pleasence, Caroline Fertleman and 1 more

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2018. 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

11 authors.

Xueni PanDepartment of Computing, Goldsmiths, University of London, London, United Kingdom.
Tara Collingwoode-WilliamsDepartment of Computing, Goldsmiths, University of London, London, United Kingdom.
Angus AntleyDepartment of Computer Science, University College London, London, United Kingdom.
Harry BrentonBespokeVR Ltd, London, United Kingdom.
Benjamin CongdonDepartment of Computer Science, University College London, London, United Kingdom.
Olivia DrewettMedical School, University College London, London, United Kingdom.
Marco F P GilliesDepartment of Computing, Goldsmiths, University of London, London, United Kingdom.
David SwappDepartment of Computer Science, University College London, London, United Kingdom.
Pascoe PleasenceFaculty of Laws, University College London, London, United Kingdom.
Caroline FertlemanGreat Ormond Street Institute of Child Health, University College London, London, United Kingdom.
Sylvie DelacroixBirmingham Law School, University of Birmingham, Birmingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The art of picking up signs that a child may be suffering from abuse at home is one of those skills that cannot easily be taught, given its dependence on a range of non-cognitive abilities. It is also difficult to study, given the number of factors that may interfere with this skill in a real-life, professional setting. An immersive virtual reality environment provides a way round these difficulties. In this study, we recruited 64 general practitioners (GPs), with different levels of experience. Would this level of experience have any impact on general practitioners' ability to pick up child-safeguarding concerns? Would more experienced GPs find it easier to pick up subtle (rather than obvious) signs of child-safeguarding concerns? Our main measurement was the quality of the note left by the GP at the end of the virtual consultation: we had a panel of 10 (all experienced in safeguarding) rate the note according to the extent to which they were able to identify and take the necessary steps required in relation to the child safeguarding concerns. While the level of professional experience was not shown to make any difference to a GP's ability to pick up those concerns, the parent's level of aggressive behavior toward the child did. We also manipulated the level of cognitive load (reflected in a complex presentation of the patient's medical condition): while cognitive load did have some impact upon GPs in the "obvious cue" condition (parent behaving particularly aggressively), this effect fell short of significance. Furthermore, our results also suggest that GPs who are less stressed, less neurotic, more agreeable and extroverted tend to be better at raising potential child abuse issues in their notes. These results not only point at the considerable potential of virtual reality as a training tool, they also highlight fruitful avenues for further research, as well as potential strategies to support GP's in their dealing with highly sensitive, emotionally charged situations.

Indexed as

child safeguardingcognitive loadexpertiseimmersive virtual realitymedical trainingnaturalistic decision makingprofessional awarenessvirtual patient

Identifiers

PMID33500959
PMCPMC7805796

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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.