Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions
- PMID: 35848800
- PMCID: PMC9643598
- DOI: 10.1080/00332747.2022.2092828
Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions
Abstract
The suicide rate (currently 14 per 100,000) has barely changed in the United States over the past 100 years. There is a need for new ways of preventing suicide. Further, research has revealed that suicidal thoughts and behaviors and the factors that drive them are dynamic, heterogeneous, and interactive. Most existing interventions for suicidal thoughts and behaviors are infrequent, not accessible when most needed, and not systematically tailored to the person using their own data (e.g., from their own smartphone). Advances in technology offer an opportunity to develop new interventions that may better match the dynamic, heterogeneous, and interactive nature of suicidal thoughts and behaviors. Just-In-Time Adaptive Interventions (JITAIs), which use smartphones and wearables, are designed to provide the right type of support at the right time by adapting to changes in internal states and external contexts, offering a promising pathway toward more effective suicide prevention. In this review, we highlight the potential of JITAIs for suicide prevention, challenges ahead (e.g., measurement, ethics), and possible solutions to these challenges.
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Comment in
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Just-in-Time Adaptive Interventions (JITAIs) for Suicide Prevention: Tempering Expectations.Psychiatry. 2022 Winter;85(4):341-346. doi: 10.1080/00332747.2022.2132775. Psychiatry. 2022. PMID: 36344469 No abstract available.
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Entering the Brave New World of Just-In-Time Adaptive Interventions for Suicide Prevention.Psychiatry. 2022 Winter;85(4):336-340. doi: 10.1080/00332747.2022.2132774. Psychiatry. 2022. PMID: 36344470 No abstract available.
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Just-in-Time Adaptive Interventions for Suicide: the Right Idea at the Right Time.Psychiatry. 2022 Winter;85(4):347-353. doi: 10.1080/00332747.2022.2134681. Psychiatry. 2022. PMID: 36344471 No abstract available.
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- Ribeiro JD et al. Letter to the Editor: Suicide as a complex classification problem: machine learning and related techniques can advance suicide prediction - a reply to Roaldset (2016). Psychol. Med 46, 2009–2010 (2016). - PubMed
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