Suicide is the tenth leading cause of death in the U.S., with the highest risk period occurring in the weeks following psychiatric hospitalization. Scalable, effective strategies to prevent suicide-related behavior (SRB) after discharge are urgently needed. Safety planning – a brief intervention listing coping strategies and supports – is standard care but often underused by patients. This project uses a micro-randomized trial (MRT) to test just-in-time interventions (via calls or automated texts) that promote real-world safety plan use based on individuals’ current suicidal urges. Psychiatric inpatients will complete daily smartphone surveys for 28 days post-discharge and be repeatedly randomized to different intervention methods and content. Aim 1 is to refine interventions through pilot feedback (N=10). Aim 2 is to assess their immediate effects on safety plan use and suicidal thoughts in a larger MRT (N=175).
SP16 is interested in the personalization algorithms proposed by TR&D2, particularly how causal domain expertise (Aim 2) can be utilized to improve personalization. Further this SP is interested in potentially using the (under development) JusTIn Toolkit for Just-in-Time Adaptive mHealth Interventions and the pJITAI toolbox. If the TR&D algorithms under Aim 2 are demonstrated to be robust, this SP would be potentially interested in assessing feasibility of these algorithms for use in informing the SP’s future research. TR&D2 pushes personalization algorithms that incorporate causal domain expertise to enhance the tailoring of JITAIs for suicide risk prevention. The mDOT Center also pushes stress monitoring. By integrating TR&D2’s personalization algorithms and tools, SP16 will improve the precision and effectiveness of JITAIs in promoting safety plan adherence and stress management.
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