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Developing personalised, real-time, contextual models of risk and protective factors for suicidal thoughts and behaviours

Youth suicide is a major global public health issue. Yet, we lack an integrated theoretical framework that covers suicide risk and protective factors in all life domains. Experience sampling methods (ESM) enable us to capture daily-life data to identify new risk and protective factors concerning individuals and their relationships. Data about community- and society-level risk and protective factors, come from public health databases and have never been linked to ESM data. Linking these data allows us to develop personalised models of risk and protective factors, to create smartphone-delivered ‘just-in-time’ adaptive interventions (JITAIs) to prevent suicide. However, to ensure young people use JITAIs, we must involve them in intervention development.
Date:1 Oct 2024 →  Today
Keywords:suicide, self-harm, experience sampling method, youth, public health
Disciplines:Nursing not elsewhere classified