Understanding and Defining Young People's Involvement and Under-Representation in Mental Health Research: A Delphi Study.

INTRODUCTION: The mental health of young people (aged 16-25 years) is a growing public health concern in the United Kingdom due to the increasing numbers of young people experiencing mental health difficulties, with many not in contact with mental health services. To design services that meet the needs of all young people, a diversity of young people must be involved in mental health research, beyond being participants. This Delphi study aimed to identify different types of 'involvement' and to define and describe 'under-representation' in young people's involvement in mental health research. METHODS: Twenty-seven experts in young people's mental health research completed a series of online questionnaires. The experts were academic researchers, patient and public involvement (PPI) professionals and young 'experts by experience'. Round 1 generated panellists' views on 'involvement' and 'under-representation'. Round 2 summarised panellists' responses from Round 1 and sought consensus (minimum 70% agreement) in nine question areas. Round 3 validated the findings of the previous rounds. RESULTS: Consensus was achieved in eight out of nine areas, resulting in a matrix (with definitions) of the different types of young people's involvement in mental health research, from being advisors to involvement ambassadors. The findings generated an agreed-upon definition of under-representation, an identification of when in the research process there is under-representation and the characteristics of the young people who are under-represented. Experts further agreed on demographic data that should be collected to improve reporting on involvement. CONCLUSIONS: This study adds to our understanding of involvement and under-representation in the context of young people's mental health research through expert consensus. It provides a practical resource for researchers considering involving young people in the research process and suggests the data that should be collected to improve reporting on the diversity of the young people involved. PATIENT AND PUBLIC CONTRIBUTION: A research oversight group of five young people advised on this study. They contributed throughout the project-from endorsing the research question to commenting on the findings and dissemination. Two of the group reviewed all participant materials and piloted the initial questionnaire.

Developing the PEAK mood, mind, and marks program to support university students' mental and cognitive health through physical exercise: a qualitative study using the Behaviour Change Wheel.

BACKGROUND: Concerns about mental and cognitive health are common among university students. Engaging in regular physical exercise has been shown to enhance both mental health and cognitive performance, yet most students are not participating in the level of exercise required to obtain these benefits. The Behaviour Change Wheel (BCW) provides a framework for developing behavioural interventions that are informed by theory, evidence, and stakeholder perspectives. The current study aimed to apply the BCW to develop the PEAK Mood, Mind, and Marks program (i.e., PEAK), a behaviour change intervention designed to increase university students' exercise engagement for the benefit of their mental and cognitive health. METHODS: PEAK was developed across three stages of the BCW: (1) understand the target behaviour, (2) identify intervention options, and (3) identify intervention content and delivery mode. Development was informed by triangulated data from a systematic literature review, co-design consultations with key stakeholders, and knowledge of relevant experts. Consultations with stakeholders involved focus groups with 25 university students and individual interviews with 10 university leaders and staff to identify barriers and facilitators to students' exercise engagement and the adoption and implementation of PEAK by universities. Template analysis was used to code transcripts to the capability, opportunity, and motivation (COM-B) model of behaviour. The BCW was applied to identify the most appropriate intervention types and behaviour change techniques (BCTs). RESULTS: Thirty-one barriers and facilitators were identified and mapped to seven intervention types (Education; Modelling; Persuasion; Environmental Restructuring; Incentivisation; Training; and Enablement) and 26 BCTs, which were delivered across digital channels and in-person. The final intervention consisted of multiple components targeting students' capability (e.g., increasing knowledge about the mental and cognitive health benefits of exercise), opportunity (e.g., providing a flexible range of accessible exercise options and social support), and motivation (e.g., increasing the perceived importance of exercise) to exercise. CONCLUSIONS: University students and staff describe a need and appetite for more empowering, scalable solutions to support students' mental and cognitive health. Exercise-based approaches that are informed by behaviour change frameworks, evidence, and stakeholder perspectives, such as PEAK, have the potential to address this need. Current findings will inform a pilot of PEAK to evaluate its efficacy and implementation.

Barriers and enablers to the moderation of self-harm content for a young person's online forum.

BACKGROUND: Self-harm amongst young people in the United Kingdom is higher than in other European countries. Young people who self-harm are often reluctant to seek professional help, turning increasingly to the internet for support, including online forums. There are concerns about misinformation or harmful content being shared, potentially leading to self-harm contagion. Moderation of online forums can reduce risks, improving forum safety. Moderation of self-harm content, however, is an under-researched area. AIMS: Using the Behaviour Change Wheel (BCW), this study examines the barriers and enablers to moderation of self-harm content and suggests behaviour change techniques (BCTs) to address barriers. METHOD: Qualitative interviews with 8 moderators (of a total of 16) from the UK's leading young people's support service for under 25s, The Mix, were conducted. RESULTS: Thematic analysis identified eleven enablers, four barriers and one both an enabler and a barrier. Barriers included emotional exhaustion, working with partial information, access to timely support, vagueness within the guidelines and influence of community users. BCTs selected included increasing social support through a moderation buddy. CONCLUSIONS: Optimisation strategies focus on increasing the support and level of information available to moderators and could be considered by other organisations providing similar services.

Behavior Change Techniques Within Digital Interventions for the Treatment of Eating Disorders: Systematic Review and Meta-Analysis.

BACKGROUND: Previous systematic reviews of digital eating disorder interventions have demonstrated effectiveness at improving symptoms of eating disorders; however, our understanding of how these interventions work and what contributes to their effectiveness is limited. Understanding the behavior change techniques (BCTs) that are most commonly included within effective interventions may provide valuable information for researchers and developers. Establishing whether these techniques have been informed by theory will identify whether they target those mechanisms of action that have been identified as core to changing eating disorder behaviors. It will also evaluate the importance of a theoretical approach to digital intervention design. OBJECTIVE: This study aims to define the BCTs within digital self-management interventions or minimally guided self-help interventions for adults with eating disorders that have been evaluated within randomized controlled trials. It also assessed which of the digital interventions were grounded in theory and the range of modes of delivery included. METHODS: A literature search identified randomized controlled trials of digital intervention for the treatment of adults with eating disorders with minimal therapist support. Each digital intervention was coded for BCTs using the established BCT Taxonomy v1; for the application of theory using an adapted version of the theory coding scheme (TCS); and for modes of delivery using the Mode of Delivery Ontology. A meta-analysis evaluated the evidence that any individual BCT moderated effect size or that other potential factors such as the application of theory or number of modes of delivery had an effect on eating disorder outcomes. RESULTS: Digital interventions included an average of 14 (SD 2.6; range 9-18) BCTs. Self-monitoring of behavior was included in all effective interventions, with Problem-solving, Information about antecedents, Feedback on behavior, Self-monitoring of outcomes of behavior, and Action planning identified in >75% (13/17) of effective interventions. Social support and Information about health consequences were more evident in effective interventions at follow-up compared with postintervention measurement. The mean number of modes of delivery was 4 (SD 1.6; range 2-7) out of 12 possible modes, with most interventions (15/17, 88%) being web based. Digital interventions that had a higher score on the TCS had a greater effect size than those with a lower TCS score (subgroup differences: χ21=9.7; P=.002; I²=89.7%) within the meta-analysis. No other subgroup analyses had statistically significant results. CONCLUSIONS: There was a high level of consistency in terms of the most common BCTs within effective interventions; however, there was no evidence that any specific BCT contributed to intervention efficacy. The interventions that were more strongly informed by theory demonstrated greater improvements in eating disorder outcomes compared to waitlist or treatment-as-usual controls. These results can be used to inform the development of future digital eating disorder interventions. TRIAL REGISTRATION: PROSPERO CRD42023410060; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=410060.