]. The civilian study was a naturalistic study in a cohort of all-comers to a busy urban Emergency Department, . The patients received the standard 2-item suicide screening question, were seen by an attending physician who was asked to fill a VAS scale about likelihood of future suicidality in subsequent 6 months, and received a paper version of the CFI-S. Of note, the CFI-S does not ask about suicidal ideation.
]. An important issue to be addressed was its ability to predict long-term risk. We describe a 4-year follow-up of that population, and analyses using state-of the art machine learning approaches.Participants were enrolled in 2016-2017 in the study “Assessing Risk of Future Suicidality in Emergency Department Patients”. The original study was reviewed and approved by the Indiana University School of Medicine Institutional Review Board .
The electronic medical record was reviewed by 3 psychiatrists independently. Scores for suicidality were compared between the different scorers, with looking at all notes in the EMR that had been entered since each participant was initially enrolled in the first study in 2019 .
In addition to review of the EMR to gather information regarding suicidality, the Marion County Coroner’s Office database was also searched. None of the participants were found to have died by suicide locally.Following the collection of data a few separate analyses were performed. First, a Receiver Operating Curve Area Under the Curve for predicting future suicidality was calculated, for the 4-year follow-up.
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