Evidence map›Paper›PMID 24549691›Full record

ArticleDer Nervenarzt2014

[Use of virtual reality in forensic psychiatry. A new paradigm?].

P Fromberger, K Jordan, J L Müller

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Der Nervenarzt, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

P FrombergerLudwig-Meyer-Institut für Forensische Psychiatrie und Psychotherapie, Georg-August-Universität Göttingen, Universitätsmedizin Göttingen, Rosdorfer Weg 70, 37081, Göttingen, Deutschland, peter.fromberger@medizin.uni-goettingen.de.
K Jordan
J L Müller

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor more than 20 years virtual realities (VR) have been successfully used in the assessment and treatment of psychiatric disorders. The most important advantages of VR are the high ecological validity of virtual environments, the entire controllability of virtual stimuli in the virtual environment and the capability to induce the sensation of being in the virtual environment instead of the physical environment. VRs provide the opportunity to face the user with stimuli and situations which are not available or too risky in reality. Despite these advantages VR-based applications have not yet been applied in forensic psychiatry. OBJECTIVES AND

methodsOn the basis of an overview of the recent state-of-the-art in VR-based applications in general psychiatry, the article demonstrates the advantages and possibilities of VR-based applications in forensic psychiatry. RESULTS AND

conclusionsUp to now only preliminary studies regarding the VR-based assessment of pedophilic interests exist. These studies demonstrate the potential of ecologically valid VR-based applications for the assessment of forensically relevant disorders. One of the most important advantages is the possibility of VR to assess the behavior of forensic inpatients in crime-related situations without endangering others. This provides completely new possibilities not only regarding the assessment but also for the treatment of forensic inpatients. Before utilizing these possibilities in the clinical practice exhaustive research and development will be necessary. Given the high potential of VR-based applications, this effort would be worth it.

Indexed as

User-Computer InterfaceDiagnosis, Computer-AssistedForensic PsychiatryHumansMental DisordersPsychological TestsPsychometricsTherapy, Computer-AssistedVirtual Reality Exposure Therapy

Identifiers

What OpenQuestion holds

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Registered trials

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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.