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    Assessment of digital risks in child and adolescent mental health services: A mixed-method, theory-driven study of clinicians’ experiences and perspectives

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    Date
    2022-05
    Author
    Lister, Matthew
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    Citation
    Alex Lau-Zhu, Ciorsdan Anderson and Matthew Lister. Assessment of digital risks in child and adolescent mental health services: A mixed-method, theory-driven study of clinicians’ experiences and perspectives
    Abstract
    Children and adolescents in the UK spend increasingly more time in the digital world, raising societal fears about digital risks in this age group. Professionals are not always aware of the ever-developing research or guidance available around digital safety. This gap underscores the need to understand current experiences and determinants of digital risk assessment, including clinicians’ views on barriers and facilitators. A mixed-method design was used. Fifty-three clinicians working in child and adolescent mental health services (CAMHS) in South England took part in a survey; of these 12 took part in semi-structured interviews. A psychological model of behavioural change (COM-B: capabilities, opportunities, motivation and behaviour) guided the analyses. Survey data revealed that clinicians showed awareness and concerns for several digital risk issues but there appeared to be gaps in their knowledge and practice. Interview data revealed different factors influencing staff enquiry about digital risks in CAMHS. These included aspects of capabilities (knowledge and skills), opportunities (resources, organisational context and empowerment of youth), and motivations (habit change, emotional experiences, and professional identity/role). Targeting both staff-level and organisation-level barriers to digital risk assessments in CAMHS is crucial. This study informs service improvement to ensure that children and young people safely navigate the digital world.
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    Open access
    URI
    https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/1113
    Published online at:
    https://doi.org/10.1177/13591045221098896
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