Originally Aired - Wednesday, March 13 • 3:15 PM - 3:45 PM Eastern Time (US & Canada)
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Location: W307A
Type: General Education
Session ID: 160
Title: Universal Suicide Screening: Improving Detection of Patients Who Die by Suicide
Description: U.S. suicide rates increased by 27.6 percent over the past 15 years and suicide remains a leading U.S. cause of death, with 48,183 deaths in 2021, according to the CDC’s National Center for Health Statistics and the United Health Foundation. Development of evidence-based practices has dramatically increased over the past 20 years; however, suicide rates continue to increase in part due to broad variability in adoption of, and consistent adherence to, suicide prevention practices. As a vital first step in understanding suicide prevention from a population health perspective, and improving risk recognition for treatment application, a large safety-net hospital implemented a universal suicide screening program (SSP) in 2015, in which all patients ages 10 and older are screened for suicide risk during every provider encounter. This session will determine if the SSP reduces the number of patients falsely identified as not at risk of death by suicide in our cohort by linking mortality data to healthcare utilization data from five years pre- and post- SSP implementation. Despite suicide being a relatively low base-rate event (13-14/100,000 in the U.S.), the massive dataset size provides enough power for statistically meaningful changes to be detected.
Level: Introductory
Format: 30-Minute Learning Burst
Learning Objective #1: Describe the current standard for suicide screening, and how universal suicide screening can be implemented
Learning Objective #2: Discuss the challenge in identifying the number of patients that die by suicide and linking outcome (mortality) data
Learning Objective #3: Identify strategies to develop a matching algorithm to combine state mortality data with the patients in the EHR
