New preprint, “Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions” with @walthdempsey, Evan Kleiman, @drkatebentley, @SusanMurphylab1, and @mk_nock! https://t.co/QeMh22Dvu9

First we highlight three hindrances to treatment efficacy for suicidal thoughts and behaviors:
-Frequency
-Accessibility
-Content
Most existing interventions are infrequent, not accessible when most needed, and not systematically tailored to the person using their own data.
Just-In-Time Adaptive Interventions (JITAIs) are a potential solution to these hindrances to treatment efficacy. JITAIs are designed to provide the right type of support at the right time by adapting to changes in internal states and external contexts (https://t.co/7OGzELv8HL).
Components of JITAIs include:
-Decision points
-Intervention options
-Tailoring variables
-Decision rules
-Proximal outcomes
-Distal outcomes
Image from (https://t.co/7OGzELv8HL)
We provide an example of a JITAI and Micro-randomized Trial (https://t.co/dbQIWHO0dU) for suicide prevention. This intervention would specifically be targeting social support based on our previous work (https://t.co/e53j9VVE1u).
We review three challenges for JITAIs for suicide prevention:
-Measurement of real-time suicide risk
-Balancing risk and receptivity
-Ethics of real-time interventions
We highlight three future directions for JITAIs for suicide prevention:
-Identifying states of risk and receptivity
-Matching mechanisms and interventions
-Integrating into clinical care
JITAIs for suicide prevention hold immense potential to increase access to care and reduce suffering. The potential of JITAIs is reflected in its ability to match the nature of suicide risk. The journey towards realizing the potential of JITAIs, however, remains challenging.
Thank you to all the brilliant collaborators and co-authors on this paper! A special thank you to @walthdempsey, who since I showed up in his office as a first year graduate student has been incredibly kind and patient in teaching me about statistics and mobile health.

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