Long-Term Modelling Tools for Adolescent Mental Health and Wellbeing Research

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Adolescents often experience mental health and wellbeing difficulties. When such difficulties persist or escalate over time, they cause misery to adolescents and their families, impose substantial costs on education, health and welfare services, and have lifelong effects on increasing the risk of numerous other bad outcomes including unemployment, crime, physical illness and premature death. They are also linked to adverse experiences in early childhood such as poverty and neglect that can perpetuate intergenerational transmission of inequalities in income, health and wellbeing.Intervening to prevent and manage adolescent mental health problems is challenging, however. Research can help by using trials to evaluate the effects of different interventions on mental health. Unfortunately, however, trials typically only have one to three years of follow-up data. It is thus hard to know how far effects will persist in the long-term and how this will vary between different adolescents in different circumstances. Standard research methods for extrapolating long-term effects do not take into account emerging scientific knowledge about how the long-term persistence and consequences of mental health difficulties may vary for different adolescents in different circumstances. For some adolescents, short-term improvements in mental health fade out rapidly over time, ultimately yielding little or no benefit. But for others, improvements persist and accumulate into large lifelong benefits and public cost savings. We propose to develop a better approach to long-term modelling of intervention effects on adolescent mental health and wellbeing. We will develop a versatile and reusable computer programme for predicting how adolescent health and wellbeing will develop from age 11 to 17 for different kinds of adolescents in different family, neighbourhood and school environments, known as a "microsimulation model". This model will be based on detailed data about the lives of more than 10,000 adolescents in the Millennium Cohort Study of children born in the year 2000, supplemented with further data where necessary. We will also link the new model to existing microsimulation models of childhood (age 0 to 11) and adulthood (age 17+) that capture the main early childhood causes and lifelong consequences of adolescent mental health and wellbeing difficulties. We will then test how well the integrated model can address a diverse range of research questions that cannot be answered using standard long-term modelling approaches, by conducting example studies of (i) the long-term effects of whole-school anti-bullying programmes, (ii) the long-term effects on adolescent mental health and wellbeing of tax-benefit reform options for reducing poverty in childhood, and (iii) the lifelong consequences of adolescent mental health problems for income, health, wellbeing and public cost in adulthood. We will engage young people to ensure that our computer model meaningfully captures adolescent experiences and produces information relevant to young people. We will collaborate with youth social work apprentices and sixth formers in Bradford, a deprived area with relatively high rates of adolescent mental health problems, in a series of workshops throughout the project. We will also ensure scientific credibility and policy relevance by consulting experts from multiple disciplines across the adolescent mental health and wellbeing research field and with education, welfare and health policymakers across government. To help adolescent mental health and wellbeing researchers use and refine our approach in future, we will collaborate across research teams at five different UK universities and make our tool readily accessible via user-friendly web-based platforms.