Kevin Kuehn
University of California-San Diego, CA·Psychology·Early-career
People at high risk of suicide differ greatly from one another, and the factors driving one person's risk can shift over time. Yet most treatments for suicidal thoughts assume the same approach works for everyone.
- Fields
Psychology
Medicine & Clinical Research
Public Health & Epidemiology
- Topics
suicide prevention
suicidal ideation
personalized treatment
- Grants
- 1 known grant, through Apr 2030
What they work on
- Refine the personalized suicide prevention intervention PRECISE using a user-centered design approach and a case series with high-risk adults.
- Test in a randomized controlled trial whether high-intensity personalization, with eight weeks of ecological momentary assessment and repeated single-person network models, reduces suicidal ideation more than low-intensity personalization.
- Test whether gains in emotion-regulation skills and reductions in negative affect explain the decrease in suicidal ideation, with assessments at baseline, 8 weeks and 32 weeks.
More about the research
This project asks whether treatment can be tailored to each person by tracking their daily experiences and mapping what drives their suicidal thoughts.
Why it matters
Suicide is a leading cause of death in the United States. One-size-fits-all treatments may miss what drives an individual's suicidal thoughts. A data-driven, personalized intervention could make suicide prevention for at-risk adults more effective and efficient. It would do this by targeting each person's own drivers of distress with proven Safety Planning and Dialectical Behavior Therapy skills.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Erin Kaufman
University of Utah, UT·Psychology·Early-career
Compare an interpersonal skill (GIVE) with an intrapersonal skill (opposite-to-emotion action) for reducing emotion dysregulation in self-injuring adolescents, using a randomized crossover design with parent–teen conflict discussions.
Andrea Baldelli
University of North Carolina at Chapel Hill, NC·Psychology·Early-career
Refine questionnaires, interviews and behavioral tasks that measure social motivation and suicidal thoughts and behaviors so they are valid for a diverse group of preteen girls aged 8 to 11.
Madhukar Trivedi
University of Texas Southwestern Medical Center, TX·Medicine & Clinical Research
Investigate how the amount of social media use and positive or negative online experiences affect depression, anxiety and suicidal ideation trajectories over six months in 100 at-risk Texas youth.
The school
University of California-San Diego: 84 labs on PI Pages, $1.9B a year on research, 637 research doctorates a year.
Reach out
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