Evidence map›Paper›PMID 39113378›Full record

ArticleJMIR serious games2024

Developing an Automated Virtual Reality Therapy for Improving Positive Self-Beliefs and Psychological Well-Being (Phoenix VR Self-Confidence Therapy): Tutorial.

Laina Rosebrock, Jason Freeman, Aitor Rovira, Andre Lages Miguel, Rupert Ward, Matthew Bousfield, Ludovic Riffiod, Roya Kamvar, Thomas Kabir, Felicity Waite and 1 more

Abstract read
In one paragraph

Article in JMIR serious games, 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

11 authors.

Laina RosebrockDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-4583-8435
Jason FreemanDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0009-0007-2544-0415
Aitor RoviraDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-9308-5784
Andre Lages MiguelDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0009-0001-0496-1381
Rupert WardDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0009-0007-5114-875X
Matthew BousfieldDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0009-0008-7580-6515
Ludovic RiffiodDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0009-0002-6714-3105
Roya KamvarThe McPin Foundation, London, United Kingdom.ORCID http://orcid.org/0009-0001-4813-8119
Thomas KabirDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-8908-0964
Felicity WaiteDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-2749-1386
Daniel FreemanDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-2541-2197

Funding

Wellcome Trust
6 · The paper itself

Abstract

Unlabelled: Virtual reality (VR) is an immersive technology in which delivery of psychological therapy techniques can be automated. Techniques can be implemented similarly to real-world delivery or in ways that are not possible in the real world to enhance efficacy. The potential is for greater access for patients to effective therapy. Despite an increase in the use of VR for mental health, there are few descriptions of how to build and design automated VR therapies. We describe the development of Phoenix VR Self-Confidence Therapy, designed to increase positive self-beliefs in young patients diagnosed with psychosis in order to improve psychological well-being. A double-diamond, user-centered design process conducted over the course of 18 months was used, involving stakeholders from multiple areas: individuals with lived experience of psychosis, clinical psychologists, treatment designers, and VR software developers. Thirteen meetings were held with young patients diagnosed with psychosis to increase the understanding and improve the assessment of positive self-beliefs, help design the scenarios for implementing therapeutic techniques, and conduct user testing. The resulting Phoenix therapy is a class I United Kingdom Conformity Assessed (UKCA)-certified medical device designed to be used on the standalone Meta Quest 2 (Meta Platforms) headset. Phoenix aims to build up 3 types of positive self-beliefs that are connected to psychological well-being. In a community farm area, tasks are designed to increase a sense of mastery and achievement ("I can make a difference"); in a TV studio, users complete an activity with graded levels of difficulty to promote success in the face of a challenge ("I can do this"); and in a forest by a lake, activities are designed to encourage feelings of pleasure and enjoyment ("I can enjoy things"). Phoenix is delivered over the course of approximately 6 weekly sessions supported by a mental health provider. Patients can take the headsets home to use in between sessions. Usability testing with individuals with lived experience of psychosis, as well as patients in the National Health Service (aged 16-26 years), demonstrated that Phoenix is engaging, easy to use, and has high levels of satisfaction.

Indexed as

cognitive behavioural therapydesign processefficacymental healthparticipantPhoenix VR Self-Confidence Therapypsychological therapypsychological well-beingpsychosisreal-worldself-beliefsstakeholderuservirtual realityVRwell-being

Identifiers

PMID39113378
PMCPMC11322795

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.