Predicting Suicide and Self-Harm Risk in Linked Administrative Data
2021 Pilot Research Grant
Amount Awarded: $30,000
Focus Area: Psychosocial Studies
Leah Richmond-Rakerd, Ph.D.
University of Michigan
Inside the Research
Many individuals who attempt suicide have received a mental-health diagnosis, obtained treatment, appeared in emergency rooms, or received prior clinical care for other types of self-harm behavior. These are crucial prevention opportunities, but it is difficult to accurately predict suicide risk using traditional clinical methods. To improve assessment of risk for suicide attempt and self-harm, statistical computational-modeling approaches will be applied to a broad range of health and social variables obtained from nationwide, linked administrative records.