Authors Daniel Coppersmith
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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
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).

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
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).
