Development of PRECISE: A Data Driven Personalized Suicide Prevention Intervention

Individuals at high-risk of suicide vary substantially from one another. Over time, risk factors for suicide may change within the same individual. Despite these differences, most treatments for suicidal thoughts assume that the same intervention works equally well for all individuals at high-risk of suicide. Intensive longitudinal data combined with network science, integrated with coaching, could be used to personalize suicide prevention interventions to make them more effective and efficient. This K23 Career Development application involves refining and testing a novel personalized treatment for individuals at high-risk called PeRsonalizEd Clinical Intervention for Suicidal Events or PRECISE. PRECISE leverages idiographic statistical techniques adopted from network science applied to ecological momentary assessment data to inform the tailoring of Safety Planning and skills from Dialectical Behavior Therapy, two existing evidence-based treatments for suicide. In Aim 1, a user-centered design approach will be used to refine PRECISE. Following the refinement of the intervention, informed by data from a case series in Aim 1, the investigators will then conduct a randomized controlled trial comparing two different intensities of personalization. In the low-intensity arm, the 8-week treatment will be tailored based on an initial two-week burst of ecological momentary assessment and one idiographic model. In the high-intensity arm, participants complete eight weeks of ecological …

This description comes directly from the study's public registry record.

Kevin S Kuehn, Ph.D.  ·  (619) 543-5221  ·  kskuehn@health.ucsd.edu

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