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Virtual Reality Objectifies the Diagnosis of Psychiatric Disorders: A Literature Review

Overview of attention for article published in Frontiers in Psychiatry, September 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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2 blogs
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35 Dimensions

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Title
Virtual Reality Objectifies the Diagnosis of Psychiatric Disorders: A Literature Review
Published in
Frontiers in Psychiatry, September 2017
DOI 10.3389/fpsyt.2017.00163
Pubmed ID
Authors

Martine J. van Bennekom, Pelle P. de Koning, Damiaan Denys

Abstract

To date, a diagnosis in psychiatry is largely based on a clinical interview and questionnaires. The retrospective and subjective nature of these methods leads to recall and interviewer biases. Therefore, there is a clear need for more objective and standardized assessment methods to support the diagnostic process. The introduction of virtual reality (VR) creates the possibility to simultaneously provoke and measure psychiatric symptoms. Therefore, VR could contribute to the objectivity and reliability in the assessment of psychiatric disorders. In this literature review, we will evaluate the assessment of psychiatric disorders by means of VR environments. First, we investigate if these VR environments are capable of simultaneously provoking and measuring psychiatric symptoms. Next, we compare these measures with traditional diagnostic measures. We performed a systematic search using PubMed, Embase, and Psycinfo; references of selected articles were checked for eligibility. We identified studies from 1990 to 2016 on VR used in the assessment of psychiatric disorders. Studies were excluded if VR was used for therapeutic purposes, if a different technique was used, or in case of limitation to a non-clinical sample. A total of 39 studies were included for further analysis. The disorders most frequently studied included schizophrenia (n = 15), developmental disorders (n = 12), eating disorders (n = 3), and anxiety disorders (n = 6). In attention-deficit hyperactivity disorder, the most comprehensive measurement was used including several key symptoms of the disorder. Most of the studies, however, concerned the use of VR to assess a single aspect of a psychiatric disorder. In general, nearly all VR environments studied were able to simultaneously provoke and measure psychiatric symptoms. Furthermore, in 14 studies, significant correlations were found between VR measures and traditional diagnostic measures. Relatively small clinical sample sizes were used, impeding definite conclusions. Based on this review, the innovative technique of VR shows potential to contribute to objectivity and reliability in the psychiatric diagnostic process.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 199 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 15%
Student > Bachelor 21 11%
Researcher 19 10%
Student > Ph. D. Student 19 10%
Student > Doctoral Student 13 7%
Other 37 19%
Unknown 61 31%
Readers by discipline Count As %
Psychology 49 25%
Medicine and Dentistry 20 10%
Computer Science 12 6%
Neuroscience 12 6%
Engineering 10 5%
Other 22 11%
Unknown 74 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 July 2019.
All research outputs
#1,219,140
of 22,999,744 outputs
Outputs from Frontiers in Psychiatry
#628
of 10,139 outputs
Outputs of similar age
#26,686
of 315,613 outputs
Outputs of similar age from Frontiers in Psychiatry
#10
of 80 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,139 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,613 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.