Evidence map›Paper›PMID 41797285›Full record

ArticleEarly intervention in psychiatry2026

Co-Designing a Virtual Reality Intervention for Adolescents With Psychosis.

Guri Holgersen, Anita Barsnes, Oda Bergum Pedersen, Tine Nordgreen, Irene Bircow Elgen

Abstract read
In one paragraph

Article in Early intervention in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Guri HolgersenDivision of Psychiatry, Haukeland University Hospital, Bergen, Norway.ORCID https://orcid.org/0000-0001-5199-9211
Anita BarsnesDivision of Psychiatry, Haukeland University Hospital, Bergen, Norway.
Oda Bergum PedersenDivision of Psychiatry, Haukeland University Hospital, Bergen, Norway.
Tine NordgreenDivision of Psychiatry, Haukeland University Hospital, Bergen, Norway.
Irene Bircow ElgenDivision of Psychiatry, Haukeland University Hospital, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimInvolving patients and clinicians in creating digital mental health treatments can ensure engaging, acceptable, and feasible interventions. Co-design is particularly important when developing treatments for young people suffering from severe mental health disorders. The purposes of this paper are to (1) provide a detailed example of a co-design procedure; and (2) offer guidance and recommendations to other researchers and mental health professionals who are seeking to co-design digital treatments for adolescents with severe mental health disorders.

methodsThe co-design procedure was structured into three phases which served as a framework: Phase 1 Identify and defining the problem; Phase 2 Creating the intervention; Phase 3 Initial testing. During the three phases we used self-administered questionnaires, qualitative interviews, focus group interviews, standardised clinical interviews, and workshops.

resultsA total of 62 participants were involved in the co-design procedure. The participants were involved in phases depending on aim and need. The co-design procedure led to the development of a VR-assisted CBTp treatment for adolescents with psychosis to be tested in future clinical trials. This paper highlights the importance of involving adolescents, clinical expertise, and software developers in planning and development of this intervention.

conclusionsThis co-designing procedure yields support to researchers and mental health professionals aiming to co-design digital treatments for adolescents with severe mental health disorders.

Indexed as

Cognitive Behavioral TherapyPsychotic DisordersVirtual RealityVirtual Reality Exposure TherapyAdolescentFemaleHumansMaleadolescentco‐designingcognitive behavioural therapypsychosisvirtual reality

Identifiers

PMID41797285
PMCPMC12968509

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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.