Mental health workers' perspectives on peer support in high-, middle- and low income settings: a focus group study.

BACKGROUND: Peer support is increasingly acknowledged as an integral part of mental health services around the world. However, most research on peer support comes from high-income countries, with little attention to similarities and differences between different settings and how these affect implementation. Mental health workers have an important role to play in integrating formal peer support into statutory services, and their attitudes toward peer support can represent either a barrier to or facilitator of successful implementation. Thus, this study investigates mental health workers' attitudes toward peer support across a range of high- (Germany, Israel), middle- (India), and low-income country (Tanzania, Uganda) settings. METHODS: Six focus groups were conducted in Ulm and Hamburg (Germany), Butabika (Uganda), Dar es Salaam (Tanzania), Be'er Sheva (Israel), and Ahmedabad, Gujarat (India) with a total of 35 participants. Transcripts were analyzed using thematic content analysis. RESULTS: Participants across the study sites demonstrated overall positive attitudes towards peer support in mental health care, although some concerns were raised on potentially harmful effects of peer support such as negative role modelling and giving inadequate advice to service users. Notably, mental health workers from low- and middle-income countries described peer support workers as bridge-builders and emphasized the mutual benefits of peer support. Mental health workers' views on peer support workers' roles and role boundaries differed between sites. In some settings, mental health workers strongly agreed on the need for role clarity, whereas in others, mental health workers expressed mixed views, with some preferring blurred role boundaries. Regarding collaboration, mental health workers described peer support workers as supporters and utilizers, equal partners or emphasized a need for trust and commitment. CONCLUSIONS: Mental health workers' attitudes toward peer support workers were positive overall, but they also varied depending on local context, resources and previous experiences with peer support. This affected their conceptions of peer support workers' roles, role clarity, and collaboration. This study demonstrated that reconciling the need for local adaptations and safeguarding the core values of peer support is necessary and possible, especially when the implementation of recovery-oriented interventions such as peer support is accelerating worldwide.

Artificial intelligence-informed mobile mental health apps for young people: a mixed-methods approach on users' and stakeholders' perspectives.

BACKGROUND: Novel approaches in mobile mental health (mHealth) apps that make use of Artificial Intelligence (AI), Ecological Momentary Assessments, and Ecological Momentary Interventions have the potential to support young people in the achievement of mental health and wellbeing goals. However, little is known on the perspectives of young people and mental health experts on this rapidly advancing technology. This study aims to investigate the subjective needs, attitudes, and preferences of key stakeholders towards an AI-informed mHealth app, including young people and experts on mHealth promotion and prevention in youth. METHODS: We used a convergent parallel mixed-method study design. Two semi-structured online focus groups (n = 8) and expert interviews (n = 5) to explore users and stakeholders perspectives were conducted. Furthermore a representative online survey was completed by young people (n = 666) to investigate attitudes, current use and preferences towards apps for mental health promotion and prevention. RESULTS: Survey results show that more than two-thirds of young people have experience with mHealth apps, and 60% make regular use of 1-2 apps. A minority (17%) reported to feel negative about the application of AI in general, and 19% were negative about the embedding of AI in mHealth apps. This is in line with qualitative findings, where young people displayed rather positive attitudes towards AI and its integration into mHealth apps. Participants reported pragmatic attitudes towards data sharing and safety practices, implying openness to share data if it adds value for users and if the data request is not too intimate, however demanded transparency of data usage and control over personalization. Experts perceived AI-informed mHealth apps as a complementary solution to on-site delivered interventions in future health promotion among young people. Experts emphasized opportunities in regard with low-threshold access through the use of smartphones, and the chance to reach young people in risk situations. CONCLUSIONS: The findings of this exploratory study highlight the importance of further participatory development of training components prior to implementation of a digital mHealth training in routine practice of mental health promotion and prevention. Our results may help to guide developments based on stakeholders' first recommendations for an AI-informed mHealth app.