Predictive Validity of the e-Connect Suicide Risk Classification Algorithm in Youth on Probation
Results showed strong predictive validity of the tiered risk classification algorithm, and support its use in probation settings for effective triage and treatment linkage of youth at risk for suicide.
Authors
- Gail A. Wasserman
- Margaret E. Ryan
- Megan M. Mroczkowski (ORCID: https://orcid.org/0000-0003-2904-2821)
- Casey Sarapas (ORCID: https://orcid.org/0000-0002-8668-1462)
- Katherine S. Elkington (ORCID: https://orcid.org/0000-0002-0562-0802)
- Corianna E. Sichel
- Michael L. Dennis (ORCID: https://orcid.org/0000-0002-2580-5345)
- Randy P. Auerbach (ORCID: https://orcid.org/0000-0003-2319-4744)
- Faye S. Taxman (ORCID: https://orcid.org/0000-0001-9530-731X)
Institutions
- New York State Department of Health (US)
- George Mason University (US)
- New York Psychoanalytic Society and Institute (US)
- Chestnut Health Systems (US)
- New York State Psychiatric Institute
- New York University (US)
- Columbia University (US)
Publication Details
- Journal
- JAACAP Open
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1016/j.jaacop.2025.04.006
- Citations
- 3
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 6.92
Funders
- Substance Abuse and Mental Health Services Administration
- National Institute of Mental Health
- Center for Substance Abuse Treatment