Digital Mental Health in the Wild: An Adapted Grounded Theory Study

This study explores Digital Mental Health (DMH), referring to the use of digital technologies in mental health, from the perspective of users and system builders – individuals ‘in the wild’. Using an adapted constructive Grounded Theory Methodology (Charmaz, 2014), it qualitatively explores DMH and how it is applied to everyday life. Interviews with users, developers and academics were supported by data collected from extant documents and observations. Findings addressed the complexity of development and use, where differences in priority between the technical and clinical paradigms in development challenged the usability and usefulness for consumers of DMH. Changes implemented within, and the transience of, DMH resources were constructed by users as potentially distressing and difficult for system builders to mitigate. DMH is a new and emerging way to self-manage mental health. However, whilst it provides options, it does not inform as to how to choose and, whilst it supports change, it is not in itself motivating. In understanding the role of DMH it is essential to consider it alongside existing mental health prevention and management. DMH is constructed not as use of a single resource, but rather a toolkit for self-management where resources are used in different ways and at different times. Some will be integral whilst others may be used more occasionally. Many of the participants identified the difficulties and challenges of managing their mental health with only traditional tools and interventions available, and how DMH offered additional ways of doing so. DMH offers users autonomy and a way to explore their experiences in a simulated environment, contributing to its purpose as a supplement to existing mental health provision. Understanding how DMH can supplement the existing treatment and management of mental health is essential. One key area is addressing the opportunities provided by the simulative functions of new technologies and how mobile technologies have enabled these to become part of the everyday lives of so many people. Finally, the concept of Technology-asAdvocate was constructed to identify the ways that technology can help individuals to help themselves. This study recommends that DMH stakeholders invest and conduct further research that bring together clinical, technical and user paradigms to better understand how changes to devices and resources impact users. It positions DMH within the initial stages of help-seeking and addresses its role as one of many tools in the individual’s self-care. It proposes that technology be viewed as supporting self-advocacy and theorises that future technologies, such as personal assistants, be designed to advocate rather than to dictate. It is vital that policymakers recognise the impact of changes for users who find resources that support them in their mental health and apply them within their everyday life

Virtual, augmented, mixed, and extended reality interventions in healthcare: a systematic review of health economic evaluations and cost-effectiveness

IntroductionHealth economic evaluations are required to best understand the value of interventions to the health economy. As extended reality technologies (an umbrella term including virtual, augmented, and mixed reality) become cheaper and more accessible it is likely that they will be used more within healthcare.ObjectiveThe aim of this study was to systematically review common practices within health economic evaluations of extended reality interventions in healthcare and to discuss the methods, outcomes, and methodological quality to inform future HEEs.MethodsMEDLINE, Embase, NHSEED, PubMed, and the ACM Digital Library were searched, and studies retrieved and screened. We extracted descriptions of the population, intervention, comparator, outcomes, context, costs, and economic evaluation data from studies that fit our criteria. We included studies that involved healthcare patients who were provided extended reality interventions versus standard care, other types of care, or another extended reality application within the same setting where the outcome included both health outcomes and health economic evaluations.ResultsThe search identified 1,693 records in total, of which 1,271 were excluded after title and abstract screening. A total of 422 articles were retrieved and screened and the majority (n = 233) were excluded as they did not contain a health economic analysis or cost data. Fourteen articles were included in this review, all of which found that extended reality health interventions could provide cost savings. Our findings showed considerable heterogeneity between studies and a lack of clear descriptions of XR interventions, limiting their use within procurement.ConclusionExtended reality in healthcare has the potential to offer significant clinical benefits and research has shown it to be promising at delivering cost-savings. We make recommendations based on the findings of our review for future health economic analyses to help ensure that health economic analyses can support decision-makers in procuring these technologies.Trial registrationPROSPERO 2022 CRD42022342110

Automated virtual reality cognitive therapy for people with psychosis: Protocol for a qualitative investigation using peer research methods

BACKGROUND: Many people with psychosis experience difficulties in everyday social situations. Anxiety can make life challenging, leading to withdrawal. Cognitive therapy, using active in vivo learning, enables people to overcome fears. These treatments are not readily available to people with psychosis. Automated virtual reality (VR) therapy is a potential route to increase accessibility. The gameChange automated VR cognitive therapy is designed to help people overcome anxious avoidance and build confidence in everyday social situations. A virtual coach guides the person through the treatment. Understanding user experience is key to facilitating future implementation. Peer research methods, in which people with lived experience of the issues being studied are involved in collecting and analyzing data, may be useful in developing this understanding. This encourages researchers to draw on their lived experience to explore participant perspectives and co-create knowledge. OBJECTIVE: The primary objective is to use a peer research approach to explore the participant experience of a novel automated VR therapy for anxious social avoidance. This includes understanding (1) the experience of anxious social avoidance in people with psychosis, (2) the experience of the gameChange automated VR cognitive therapy, and (3) any potential impact of the therapy in people’s lives. This will inform future implementation strategies. The secondary objective is to explore how peer research can be used to co-create knowledge. METHODS: Semistructured interviews will be conducted with approximately 25 people with psychosis participating in the gameChange trial (ISRCTN17308399). Participants will be recruited from the five trial centers based in National Health Service mental health trusts across England. Interviews will be conducted by two researchers. One is a peer researcher with similar lived experience to the trial participants. The other has lived experiences of mental health issues that do not directly overlap with those of the trial participants. Interview questions will focus on an individual’s experience of anxious social avoidance, experiences of participating in the gameChange VR therapy, and any changes or impact following therapy. The interview schedule was developed in collaboration with the gameChange Lived Experience Advisory Panel (LEAP), comprising 10 project advisors with lived experience of psychosis. Interpretative phenomenological analysis and template analysis will be used to explore individual accounts. The LEAP will contribute to the analysis. RESULTS: Data collection will be conducted from April to September 2021, and analysis will be conducted from June to October 2021. As of September 28, 2021, 20 participants had been interviewed, and coding is underway. CONCLUSIONS: The study, employing a peer research approach, may provide a unique insight into the experiences of anxious social avoidance in people with psychosis and its treatment using automated VR therapy. This will inform potential future implementation of VR automated therapies in mental health services

Automated Virtual Reality Cognitive Therapy for People With Psychosis: Protocol for a Qualitative Investigation Using Peer Research Methods

Many people with psychosis experience difficulties in everyday social situations. Anxiety can make life challenging, leading to withdrawal. Cognitive therapy, using active in vivo learning, enables people to overcome fears. These treatments are not readily available to people with psychosis. Automated virtual reality (VR) therapy is a potential route to increase accessibility. The gameChange automated VR cognitive therapy is designed to help people overcome anxious avoidance and build confidence in everyday social situations. A virtual coach guides the person through the treatment. Understanding user experience is key to facilitating future implementation. Peer research methods, in which people with lived experience of the issues being studied are involved in collecting and analyzing data, may be useful in developing this understanding. This encourages researchers to draw on their lived experience to explore participant perspectives and co-create knowledge. The primary objective is to use a peer research approach to explore the participant experience of a novel automated VR therapy for anxious social avoidance. This includes understanding (1) the experience of anxious social avoidance in people with psychosis, (2) the experience of the gameChange automated VR cognitive therapy, and (3) any potential impact of the therapy in people's lives. This will inform future implementation strategies. The secondary objective is to explore how peer research can be used to co-create knowledge. Semistructured interviews will be conducted with approximately 25 people with psychosis participating in the gameChange trial (ISRCTN17308399). Participants will be recruited from the five trial centers based in National Health Service mental health trusts across England. Interviews will be conducted by two researchers. One is a peer researcher with similar lived experience to the trial participants. The other has lived experiences of mental health issues that do not directly overlap with those of the trial participants. Interview questions will focus on an individual's experience of anxious social avoidance, experiences of participating in the gameChange VR therapy, and any changes or impact following therapy. The interview schedule was developed in collaboration with the gameChange Lived Experience Advisory Panel (LEAP), comprising 10 project advisors with lived experience of psychosis. Interpretative phenomenological analysis and template analysis will be used to explore individual accounts. The LEAP will contribute to the analysis. Data collection will be conducted from April to September 2021, and analysis will be conducted from June to October 2021. As of September 28, 2021, 20 participants had been interviewed, and coding is underway. The study, employing a peer research approach, may provide a unique insight into the experiences of anxious social avoidance in people with psychosis and its treatment using automated VR therapy. This will inform potential future implementation of VR automated therapies in mental health services. DERR1-10.2196/31742. [Abstract copyright: ©Jessica Bond, Dan Robotham, Alexandra Kenny, Vanessa Pinfold, Thomas Kabir, Humma Andleeb, Michael Larkin, Jennifer L Martin, Susan Brown, Aislinn D Bergin, Ariane Petit, Laina Rosebrock, Sinéad Lambe, Daniel Freeman, Felicity Waite. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 25.10.2021.

Preventive digital mental health interventions for children and young people: a review of the design and reporting of research

Abstract: Digital health interventions (DHIs) have frequently been highlighted as one way to respond to increasing levels of mental health problems in children and young people. Whilst many are developed to address existing mental health problems, there is also potential for DHIs to address prevention and early intervention. However, there are currently limitations in the design and reporting of the development, evaluation and implementation of preventive DHIs that can limit their adoption into real-world practice. This scoping review aimed to examine existing evidence-based DHI interventions and review how well the research literature described factors that researchers need to include in their study designs and reports to support real-world implementation. A search was conducted for relevant publications published from 2013 onwards. Twenty-one different interventions were identified from 30 publications, which took a universal (n = 12), selective (n = 3) and indicative (n = 15) approach to preventing poor mental health. Most interventions targeted adolescents, with only two studies including children aged ≤10 years. There was limited reporting of user co-design involvement in intervention development. Barriers and facilitators to implementation varied across the delivery settings, and only a minority reported financial costs involved in delivering the intervention. This review found that while there are continued attempts to design and evaluate DHIs for children and young people, there are several points of concern. More research is needed with younger children and those from poorer and underserved backgrounds. Co-design processes with children and young people should be recognised and reported as a necessary component within DHI research as they are an important factor in the design and development of interventions, and underpin successful adoption and implementation. Reporting the type and level of human support provided as part of the intervention is also important in enabling the sustained use and implementation of DHIs