# Suicide Prediction and Prevention for People at Risk for Opioid Use Disorder

> **NIH NIH UG1** · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · 2020 · $385,408

## Abstract

Title:
Reducing Stigma toward People with Opioid Use Disorder among Primary Care Clinicians
Abstract:
This study integrates the Mental Health Research Network (MHRN) suicide risk models into Opioid Wizard, an electronic health record (EHR) clinical decision support (CDS) to identify and treat patients at high risk of or identified with opioid use disorder (OUD) or overdose. In both intervention and control clinics, suicide risk scores will be calculated for all Opioid Wizard-eligible patients and relevant EHR data to inform analyses will be archived. In intervention clinics, Opioid Wizard will alert primary care clinicians (PCCs) to Opioid Wizard-eligible patients who are at increased risk of suicide and coach them through use of the Columbia Suicide Severity Risk Scale (CSSRS), a structured tool in the EHR that will help PCCs assess immediate suicide risk. Based on the resulting CSSRS score, Opioid Wizard will provide EHR links for risk-based referrals and follow-up recommendations, including care as usual, safety plan completion, routine or emergent referral to behavioral health, or transportation to the emergency department (ED) for further assessment. Primary outcome measures include completion of CSSRS assessments for at-risk patients and patient engagement in outpatient mental health care. 
 
 Modified Specific Aims Section
Aim 1. Evaluate the impact of Opioid Wizard + Suicide Risk Prediction on suicide assessment process measures.  H1: Opioid Wizard-eligible patients (patients with OUD or at elevated risk of OUD/overdose) with elevated suicide risk in intervention clinics will have higher rates of completed CSSRS assessments than similar patients in control clinics. 
 
Aim 2. Examine the impact of Opioid Wizard + Suicide Risk Prediction on patient engagement in mental health care.  H2: Opioid Wizard-eligible patients with elevated suicide risk in intervention clinics will have higher rates of engagement in their outpatient mental health care than similar patients in control clinics.

## Key facts

- **NIH application ID:** 10140552
- **Project number:** 3UG1DA040316-06S3
- **Recipient organization:** HENNEPIN HEALTHCARE RESEARCH INSTITUTE
- **Principal Investigator:** GAVIN BART
- **Activity code:** UG1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $385,408
- **Award type:** 3
- **Project period:** 2020-06-01 → 2022-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10140552

## Citation

> US National Institutes of Health, RePORTER application 10140552, Suicide Prediction and Prevention for People at Risk for Opioid Use Disorder (3UG1DA040316-06S3). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10140552. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*