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
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...
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BMJ Publishing Group
2024-11-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/14/11/e088576.full |
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| author | Angeliki Bogosian Glenn Robert Siobhan O'Connor Jackie Sturt Emma Stanmore David Woodcock Nicola Milne Womba Mubita Shraboni Ghosal Mengying Zhang |
| author_facet | Angeliki Bogosian Glenn Robert Siobhan O'Connor Jackie Sturt Emma Stanmore David Woodcock Nicola Milne Womba Mubita Shraboni Ghosal Mengying Zhang |
| author_sort | Angeliki Bogosian |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-01f957b640a94897aa6fd998596df67b |
| institution | OA Journals |
| issn | 2044-6055 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-01f957b640a94897aa6fd998596df67b2025-08-20T01:56:34ZengBMJ Publishing GroupBMJ Open2044-60552024-11-01141110.1136/bmjopen-2024-088576Using 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 studyAngeliki Bogosian0Glenn Robert1Siobhan O'Connor2Jackie Sturt3Emma Stanmore4David Woodcock5Nicola Milne6Womba Mubita7Shraboni Ghosal8Mengying Zhang93 School of Health Sciences, City University of London, London, UK2 Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King`s College London, London, UK2 Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King`s College London, London, UK2 Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King`s College London, London, UK1 School of Health Sciences, The University of Manchester, Manchester, UK4 Patient and Public Involvement Representative, King`s College London, London, UK5 Brooklands and Northenden (Wythenshawe) Primary Care Network, Manchester, UK6 The Christie NHS Foundation Trust, Manchester, UK1 School of Health Sciences, The University of Manchester, Manchester, UK1 School of Health Sciences, The University of Manchester, Manchester, UKIntroduction 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.https://bmjopen.bmj.com/content/14/11/e088576.full |
| spellingShingle | Angeliki Bogosian Glenn Robert Siobhan O'Connor Jackie Sturt Emma Stanmore David Woodcock Nicola Milne Womba Mubita Shraboni Ghosal Mengying Zhang 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 |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| url | https://bmjopen.bmj.com/content/14/11/e088576.full |
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