VR-assisted aggression treatment in forensic psychiatry: a qualitative study in patients with severe mental disorders.

VR VRAPT aggression content analysis experiences forensic psychiatry treatment virtual reality

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2024
Historique:
received: 06 10 2023
accepted: 15 04 2024
medline: 31 5 2024
pubmed: 31 5 2024
entrez: 31 5 2024
Statut: epublish

Résumé

Improvements in virtual reality (VR) have made it possible to create realistic, virtual settings for behavioral assessment and skills training that cannot otherwise be accessed in a safe way in forensic psychiatric settings. VR interventions are under development but little is known how forensic psychiatric patients with severe mental disorders experience VR-assisted assessments or treatments. The present study aimed to help fill this knowledge gap via qualitative interviews with seven patients with severe mental disorders at a high-security forensic psychiatric clinic who had completed the newly revised Virtual Reality Aggression Prevention Training (VRAPT). All participants were interviewed 12 weeks after the VRAPT intervention, and interview data analyzed with manifest inductive content analysis. Six manifest content categories were identified: 1. Therapeutic process, 2. VRAPT method, 3. VR technology, 4. Previous treatment experiences, 5. Challenges to treatment of aggression, and 6. Unexpected experiences. The participants had diverse experiences related to both the VRAPT intervention and forensic psychiatric care. Participants described a mixture of positive experiences in relation to VR-assisted role-plays, and less positive in relation to motivation for aggression-focused treatment and technological limitations. The present findings suggest further studies are needed on how to best implement VR-assisted treatments for aggression in forensic settings, and potentially further modification of treatment content in interventions like VRAPT.

Identifiants

pubmed: 38818023
doi: 10.3389/fpsyt.2024.1307633
pmc: PMC11137625
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1307633

Informations de copyright

Copyright © 2024 González Moraga, Enebrink, Perrin, Sygel, Veling and Wallinius.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Fernando Renee González Moraga (FR)

Evidence-based Forensic Psychiatry, Department of Clinical Sciences Lund, Psychiatry, Lund University, Lund, Sweden.
Research Department, Regional Forensic Psychiatric Clinic, Växjö, Sweden.
Centre for Ethics, Law and Mental Health, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.

Pia Enebrink (P)

Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Sean Perrin (S)

Department of Psychology, Lund University, Lund, Sweden.

Kristina Sygel (K)

Centre for Ethics, Law and Mental Health, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.
Department of Forensic Psychiatry, National Board of Forensic Medicine, Stockholm, Sweden.

Wim Veling (W)

Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.

Märta Wallinius (M)

Evidence-based Forensic Psychiatry, Department of Clinical Sciences Lund, Psychiatry, Lund University, Lund, Sweden.
Research Department, Regional Forensic Psychiatric Clinic, Växjö, Sweden.
Centre for Ethics, Law and Mental Health, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.

Classifications MeSH