Evidence map›Paper›PMID 39579660›Full record

ReviewSchizophrenia research2024

Co-designing technology to improve psychological therapy for psychosis: SloMo, a blended digital therapy for fear of harm from others.

Amy Hardy, Kathryn M Taylor, Amy Grant, Louie Christie, Lucy Walsh, Thomas Gant, Rama Gheerawo, Anna Wojdecka, Adrian Westaway, Alexa Münch and 2 more

Abstract readReview
In one paragraph

Review in Schizophrenia research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. An excitement building in the development of psychological treatments for schizophrenia.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. 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

12 authors.

Amy HardyInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; South London & Maudsley NHS Foundation Trust, London, United Kingdom. Electronic address: amy.hardy@kcl.ac.uk.
Kathryn M TaylorInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; South London & Maudsley NHS Foundation Trust, London, United Kingdom.
Amy GrantInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
Louie ChristieInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
Lucy WalshSussex Partnership NHS Foundation Trust, Sussex, United Kingdom.
Thomas GantInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; South London & Maudsley NHS Foundation Trust, London, United Kingdom.
Rama GheerawoHelen Hamlyn Centre for Design, Royal College of Art, London, United Kingdom.
Anna WojdeckaHelen Hamlyn Centre for Design, Royal College of Art, London, United Kingdom.
Adrian WestawaySpecial Projects Studio Limited, London, United Kingdom.
Alexa MünchSpecial Projects Studio Limited, London, United Kingdom.
Philippa GaretyInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
Thomas WardInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; South London & Maudsley NHS Foundation Trust, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital technology is positioned as a potential solution to improving access, experience, and outcomes of psychological therapies for psychosis. Digital solutions need to be fit for purpose and tailored to context to deliver real world benefits. To address this, co-production is often used, where stakeholder involvement informs intervention development. However, co-production in clinical research tends to limit involvement to refining previously identified solutions to known problems. This is not an optimal approach to innovation and risks maintaining inequities. An alternative is inclusive co-design, where the needs of a diverse range of people are collaboratively explored using ethnography, and solutions to address these iteratively developed through user testing. In healthcare, we propose an evidence-based approach to co-design ('hybrid waterfall-agile') is required. This is because 'agile' exploration of needs and solutions is necessarily constrained by clinical guidelines and regulatory requirements (the 'waterfall'). This paper provides an overview of evidence-based co-design. We use the example of SloMo, a blended digital therapy for paranoia. We describe our transdisciplinary team collaboration and how this facilitates inclusive lived experience involvement. Our therapy development method is outlined, illustrated by reflections from lived experience team members. Iterative divergent ('zooming out') and convergent ('honing in') cycles are used to co-design therapy functionality, aesthetics, interactions, and content, supported by stakeholder engagement. We conclude by reflecting on common challenges including sustaining lived experience involvement, adherence to evidence base, regulatory compliance, funding, and project management. Recommendations for navigating these obstacles are provided, with the aim of encouraging innovation in mental healthcare for psychosis.

Indexed as

Psychotic DisordersDigital TechnologyFearHumansParanoid DisordersPsychosocial InterventionPsychotherapyStakeholder ParticipationCo-designDigital healthInclusive designLived experienceParanoiaPsychosisTherapy

Identifiers

PMID39579660
PMCPMC12417297

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.