Improving young people's (YP) mental health and well-being is a global public health priority. Despite continued commitment within the UK policy agenda to improve the mental health and well-being of YP, the incidence of mental health issues continues to rise. This has been further compounded by the outbreak of COVID-19 which has disproportionately affected YP in the most socioeconomically disadvantaged areas.Understanding YP's perspectives on what supports their mental health is important to develop policies that meet their needs. We conducted focus groups (n = 18 with 42 YP aged 13-21) in three geographical areas with high levels of deprivation in England, UK. Recruited through six local youth organisations, each group of YP took part in three interlinked focus groups designed to explore their perceptions of what impacts their health in their local area, and their understandings of health inequalities through participatory methods. Throughout their discussions, YP foregrounded the significance of mental health and mental health support structures. YP perceived challenges to accessing mental health provision and an unmet need for support within their local communities. Alongside this, YP consistently highlighted the importance of youth groups for promoting good mental health and mitigating challenges to poor mental health. However, ongoing cuts to the voluntary sector and universal services continue to impact areas and individuals in the greatest need. In the face of deficits in formal mental health support, our findings highlight the pressing need for increased investment in services focused on prevention (such as youth groups) in areas of high deprivation.

Background Artificial Intelligence (AI)-enabled chatbots can offer anonymous education about sexual and reproductive health (SRH). Understanding chatbot acceptability and feasibility allows the identification of barriers to the design and implementation. Methods In 2020, we conducted an online survey and qualitative interviews with SRH professionals recruited online to explore the views on AI, automation and chatbots. Qualitative data were analysed thematically. Results Amongst 150 respondents (48% specialist doctor/consultant), only 22% perceived chatbots as effective and 24% saw them as ineffective for SRH advice [Mean = 2.91, SD = 0.98, range: 1–5]. Overall, there were mixed attitudes towards SRH chatbots [Mean = 4.03, SD = 0.87, range: 1–7]. Chatbots were most acceptable for appointment booking, general sexual health advice and signposting, but not acceptable for safeguarding, virtual diagnosis, and emotional support. Three themes were identified: “ Moving towards a ‘digital’ age’“, “ AI improving access and service efficacy”, and “ Hesitancy towards AI”. Conclusions Half of SRH professionals were hesitant about the use of chatbots in SRH services, attributed to concerns about patient safety, and lack of familiarity with this technology. Future studies should explore the role of AI chatbots as supplementary tools for SRH promotion. Chatbot designers need to address the concerns of health professionals to increase acceptability and engagement with AI-enabled services.

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