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  • Emerging trends in suicide prevention research

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    De Leo232567-Accepted.pdf (262.1Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Oexle, Nathalie
    Niederkrotenthaler, Thomas
    DeLeo, Diego
    Griffith University Author(s)
    De Leo, Diego
    Year published
    2019
    Metadata
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    Abstract
    Purpose of review: The purpose of this article is to present notable findings and developments in suicide prevention research and in particular, strategies to detect persons at risk for suicide as well as strategies to reduce suicide risk among the general population and specific risk groups. Recent findings: Popular strategies to detect persons at risk for suicide include scanning social media posts, prediction models using electronic health record data as well as the use of experienced sampling methodology to enhance our understanding of the suicidal process. Emerging approaches to reduce suicide risk include the development ...
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    Purpose of review: The purpose of this article is to present notable findings and developments in suicide prevention research and in particular, strategies to detect persons at risk for suicide as well as strategies to reduce suicide risk among the general population and specific risk groups. Recent findings: Popular strategies to detect persons at risk for suicide include scanning social media posts, prediction models using electronic health record data as well as the use of experienced sampling methodology to enhance our understanding of the suicidal process. Emerging approaches to reduce suicide risk include the development of media reporting recommendations, mass media campaigns to improve knowledge, attitudes and behaviour as well as technology-enhanced interventions. Summary: Recently, promising approaches to detect individuals at risk for suicide as well as effective strategies to reduce suicide risk emerged. Whether these new opportunities will translate into an effective reduction in suicide rates remains to be demonstrated.
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    Journal Title
    Current Opinion in Psychiatry
    Volume
    32
    Issue
    4
    DOI
    https://doi.org/10.1097/yco.0000000000000507
    Copyright Statement
    © 2019 LWW. This is a non-final version of an article published in final form in Current Opinion in Psychiatry 2019, 32 (4), pp. 336-341. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal link for access to the definitive, published version.
    Subject
    Clinical sciences
    Cognitive and computational psychology
    Publication URI
    http://hdl.handle.net/10072/395132
    Collection
    • Journal articles

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