Name
C02 - Emerging Data-Driven Approaches in the Detection of Suicidal Ideation: Insights from a Digital Behavioral Health Platform
Description

Suicide is a public health crisis and ranks among the leading causes of death in the U.S. for most age groups. Emerging digital behavioral health (dBH) technologies show potential to detect, stratify, and intervene — regardless of when or where SI occurs. This session presents two studies assessing a dBH platform's effectiveness in detecting hidden suicide risks in patients from various healthcare systems, payor networks, and organizations who used the platform as an adjunct to their traditional care. The first study explored the use of natural language processing (NLP) to detect SI and enable intervention. The second study used dBH-administered ecological momentary assessment (EMA) of affective and physiological states to predict the 30-day risk of SI based on responses to self-harm questions.

Date & Time
Thursday, October 24, 2024, 2:15 PM - 3:15 PM
Amanda Brooks
Co-Authors
Holley, Dan, Ph.D., MS, MBA, MA; Kampa, Sam, PhD; Hartz, Matt, BS; Purcell, Morgan, BS; and Zaubler, Tom, MD, MPH
Content Level
Intermediate
Tags
Complex Patient Care, Population and public health, Prevention, Suicide, Telehealth
Session Type
Concurrent
Location Name
Mission B
Objective 1
Understand the scale and scope of America’s suicide crisis, with an emphasis on social vulnerability and widespread psychiatric shortages
Objective 2
Assess the benefits and challenges of in-clinic screenings for suicidal ideation (SI)
Objective 3
Evaluate the potential for asynchronous digital behavioral health (dBH) technologies to augment these approaches
Content Reference 1
Liu, S., Morin, S. B., Bourand, N. M., … & Gibbons, R. D. (2023). Social vulnerability and risk of suicide in US adults, 2016-2020. JAMA Network Open, 6(4), e239995. https://doi.org/10.1001/jamanetworkopen.2023.9995
Content Reference 2
Abed Faghri, N. M., Boisvert, C. M., & Faghri, S. (2010). Understanding the expanding role of primary care physicians (PCPs) to primary psychiatric care physicians (PPCPs): Enhancing the assessment and treatment of psychiatric conditions. Ment Health Fam Med, 7(1), 17–25.
Content Reference 3
Gratch, I., Choo, T. H., Galfalvy, H., Keilp, J. G., Itzhaky, L., Mann, J. J., Oquendo, M. A., & Stanley, B. (2021). Detecting suicidal thoughts: The power of ecological momentary assessment. Depression and Anxiety, 38(1), 8–16. https://doi.org/10.1002/da.23043
Content Reference 4
Deisenhammer, E. A., Ing, C. M., Strauss, R., Kemmler, G., Hinterhuber, H., & Weiss, E. M. (2009). The duration of the suicidal process: How much time is left for intervention between consideration and accomplishment of a suicide attempt? J Clin Psychol, 70(1), 19–24.
Content Reference 5
Hartz, M., Hickey, D., Brooks, A., Acosta, L., Holley, D., & Zaubler, T. (2024). Using natural language processing to detect suicidal ideation and prompt urgent interventions: A retrospective database study. IDDB, 4(2024), 6-8. https://doi.org/10.36401/IDDB-23-10