ReviewSchizophrenia research2024
Co-designing technology to improve psychological therapy for psychosis: SloMo, a blended digital therapy for fear of harm from others.
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.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed.
- Integrating Wearable Technology in Digital Therapy for People With Psychosis (SloMo): Mixed Methods Co-Design and Feasibility Study.JMIR human factors · 2026Article
- Process Evaluation of Digital Mental Health Interventions for Psychosis: Scoping Review With Framework Synthesis.JMIR human factors · 2026Article
- An excitement building in the development of psychological treatments for schizophrenia.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Potential Mechanisms of Change in Virtual Reality-based Cognitive Behavioural Therapy and Standard Cognitive Behavioural Therapy for Schizophrenia-Related Paranoia: A Mediation Analysis from the FaceYourFears Trial.Schizophrenia bulletin open · 2026Article
- Optimizing SloMo, a Digitally Supported Therapy Targeting Paranoia, for Implementation: Inclusive, Human-Centered Design Study.JMIR human factors · 2025Article
- Exploring an Intervention to Enhance Positive Mental Health in People with First-Episode Psychosis: A Qualitative Study from the Perspective of Mental Health Professionals.Healthcare (Basel, Switzerland) · 2025Article
- Engagement and attrition in digital mental health: current challenges and potential solutions.NPJ digital medicine · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.