Law Project for Psychiatric Rights (PsychRights): Miscellaneous Studies

Suicide Predictions

Meta-analysis of the strength of exploratory suicide prediction models; from clinicians to computers, by Corke, M., Mullin, K., Angel-Scott, H., Xia, S., & Large, M. (2021). BJPsych Open, 7(1), e26. DOI: https://doi.org/10.1192/bjo.2020.162. The positive predictive value was 2.8%, meaning that there was a 2.8% chance that the test was correct for every person who screened positive. More than 93% of the people who screened positive for suicide risk were actually at low risk for suicide. See, Mental Health Professionals and AI Tools Fail to Predict Suicide, on Mad in America.
Risk Factors for Suicidal Thoughts and Behaviors: A Meta-Analysis of 50 Years of Research, by Joseph C. Franklin and Jessica D. Ribeiro Vanderbilt University and Harvard University; Kathryn R. Fox, Harvard Universit;, Kate H. Bentley, Boston University; Evan M. Kleiman, Harvard University; Xieyining Huang and Katherine M. Musacchio, Vanderbilt University; Adam C. Jaroszewski, Harvard University; Bernard P. Chang, Columbia University Medical Center; and Matthew K. Nock, Harvard University, Psychological Bulletin,Vol. 143, No. 2, 187–232 (2017).