Clinical Decision Support to Prevent Suicide
NCT05312437 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 596
Last updated 2023-03-14
Summary
Suicide kills 132 Americans every day. The first step of suicide prevention is risk identification and prognostication. Researchers like this study team have developed and validated predictive models that use routinely collected Electronic Health Record (EHR) data like past diagnoses and medications to predict future suicide attempt risk. The study team's model based in machine learning is known as the Vanderbilt Suicide Attempt and Ideation Likelihood (VSAIL). VSAIL has been validated prospectively and externally to predict suicide attempt risk with a number needed to screen (NNS) of 271 for suicide attempt and 23 for suicidal ideation. NNS is the number of people who need to receive a test result to prevent one outcome - lower NNS is better.
This study will evaluate the effectiveness of a Clinical Decision Support System called Vanderbilt Safecourse using VSAIL to prompt a novel Best Practice Advisory (BPA) to prompt face-to-face screening with a validated suicide screening instrument like the Columbia Suicide Severity Rating Scale (CSSRS).
Conditions
- Suicide, Attempted
- Suicidal Ideation
Interventions
- OTHER
-
Interruptive Alert, CDS
Experimental: CDS Intervention Adult patients in the highest predicted risk tier (\>=2% predicted risk) at the time visit registration (aka "check-in"). The Intervention would then be described as: Physicians review a Best Practice Advisory describing the patient's risk and choose from the following options: 1. Document face-to-face suicide risk screening with the Columbia Suicide Severity Rating Scale (CDS complete once the CSSRS is complete) 2. Agree to screen using an alternative method chosen at the clinician's discretion (CDS complete) 3. Disagree with alert and provide a rationale for disagreement (CDS complete) 4. Indicate suicide risk face-to-face screening has already occurred (CDS complete) 5. Dismiss the alert. The alert will be available in Epic "Storyboard" persistently until acted on further. The Storyboard functionality after dismissal is identical to the Passive Prompt, CDS intervention (below)
- OTHER
-
Passive Prompt, CDS
Adult patients in the highest predicted risk tier (\>=2% predicted risk, based on our research study, DOI: 10.1001/jamanetworkopen.2021.1428) at the time of visit registration (aka "check-in") will be randomized to either the Interruptive Alert or Passive Prompt CDS intervention arms. In the Passive Prompt arm, the physician who next opens the patients' charts after check-in (e.g., "Chart Review") will see a Storyboard icon for Elevated Suicide Risk on the left side of the screen. Hovering over this icon will bring up a window with the BPA information in a view identical to the Interruptive Alert arm. Clicking on the window will bring up the BPA with full functionality as in the Interruptive Alert arm.
Sponsors & Collaborators
-
Vanderbilt University Medical Center
lead OTHER
Principal Investigators
-
Colin G Walsh, MD, MA · Vanderbilt University Medical Center
Study Design
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-08-16
- Primary Completion
- 2023-02-16
- Completion
- 2023-02-16
Countries
- United States
Study Locations
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