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Using Artificial Intelligence-informed Experience-Based Co-Design (AI-EBCD) to create a virtual reality-based mindfulness application to reduce diabetes distress: protocol for a mixed-methods feasibility study.

BMJ open
January 1, 1970
Shraboni Ghosal et al. (10 authors)
Clinical Trial ProtocolJournal ArticleHuman StudyClinical
Study Details

Study Goal

The researchers aimed to explore the potential of a co-designed VR mindfulness app to reduce diabetes distress in adults with type 2 diabetes.

Results Summary

The study describes a planned mixed-methods approach to develop and evaluate a VR mindfulness app but does not yet report results on its effectiveness in reducing diabetes distress.

Population

Adults with type 2 diabetes

Effective Dosage

Not specified

Duration

Not specified

Interactions

None mentioned

Extracted Claims (7)
InterventionDirectionEndpointPopulationDosageImpactClaim #
mindfulness
decrease
diabetes distress
People with type 2 diabetes
-
can help address
#1
Mobile apps for mindfulness
decrease
cost, poor accessibility and lack of availability
People with type 2 diabetes
-
may overcome these issues
#2
virtual reality (VR) as an immersive and interactive technology that could support mindfulness practice
increase
mindfulness practice
adults with type 2 diabetes
-
could support
#3
virtual reality (VR) as an immersive and interactive technology that could support mindfulness practice
decrease
diabetes distress
adults with type 2 diabetes
-
help reduce
#4
a new co-design process called Artificial Intelligence-informed Experience-Based Co-Design
increase
virtual reality (VR) as an immersive and interactive technology that could support mindfulness practice
adults with type 2 diabetes
-
will explore using
#5
a bespoke VR mindfulness app
decrease
diabetes distress
adults with type 2 diabetes
-
determine if the new digital mental health intervention can help reduce
#6
a bespoke VR mindfulness app
increase
quality of life
adults with type 2 diabetes
-
determine if the new digital mental health intervention can help improve
#7
Abstract

INTRODUCTION: People with type 2 diabetes can experience diabetes distress which can negatively affect health outcomes. Non-pharmacological interventions such as mindfulness can help address diabetes distress. However, face-to-face programmes can be constrained by cost, poor accessibility and lack of availability. Mobile apps for mindfulness may overcome these issues but evidence of their effectiveness is limited, and some have poor interface design with basic visualisations and feedback. METHODS AND ANALYSIS: Our study will explore using virtual reality (VR) as an immersive and interactive technology that could support mindfulness practice to help reduce diabetes distress. We will use a mixed-methods design to pilot a new co-design process called Artificial Intelligence-informed Experience-Based Co-Design. Phase 1 will identify and evaluate existing VR mindfulness apps, followed by interviews with mindfulness experts to gain their perspectives on practising mindfulness in virtual settings. This will be followed by a participatory design phase with a series of five co-design workshops where adults with type 2 diabetes will (1) discuss diabetes distress and learn about mindfulness, (2) evaluate commercially available VR mindfulness apps, (3) employ artistic methods to produce a personalised mindfulness experience, (4) create digital content for a virtual mindfulness experience via generative artificial intelligence tools and (5) prioritise key design features, functionality and content for a tailored VR mindfulness app. The final phase will focus on developing a bespoke VR mindfulness app and evaluating it with adults with type 2 diabetes using interviews, questionnaires and VR app analytics to determine if the new digital mental health intervention can help reduce diabetes distress and improve quality of life. ETHICS AND DISSEMINATION: We received ethical approval from The University of Manchester (2024-18262-32710 and 2024-21170-37093). Written informed consent will be obtained from all participants. Dissemination will include scientific publications and presentations, social media, knowledge translation events and educational resources for teaching students.

Medical Subject Headings (MeSH)
Feasibility StudiesHumansMaleFemaleAdultDiabetes Mellitus, Type 2Mindfulness-Based Stress ReductionPsychological DistressMobile ApplicationsVirtual Reality Exposure TherapyComputer-Aided DesignStress, PsychologicalArtificial IntelligencePilot ProjectsUser-Centered Design
Study Links
Quality Scores
SafetyNot Assessed
Quality85/10
Citation Metrics
Total Citations1
Citations/Year1.0
Research Impact Scores
APT Score0.25
Weight Score1.48
Normalized Score0.57
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