Home › Opioid Overdose › NCT06806163
Machine-Learning Prediction and Reducing Overdoses With EHR Nudges
Who can join
Ages 18 and older · All sexes
Full eligibility criteria
Inclusion Criteria: * Received an opioid prescription within the past year * Age 18 years or older at the time of the opioid prescription * At least one visit to an internal medicine or family care practice within the past year Exclusion Criteria: * Diagnosis of malignant cancer within the past year * Enrollment in hospice care
About the study
The goal of this cluster randomized clinical trial is to test a clinician-targeted behavioral nudge intervention in the Electronic Health Record (EHR) for patients who are identified by a machine-learning based risk prediction model as having an elevated risk for an opioid overdose.
The clinical trial will evaluate the effectiveness of providing a flag in the EHR to identify individuals at elevated risk with and without behavioral nudges/best practice alerts (BPAs) as compared to usual care by primary care clinicians.
The primary goals of the study are to improve opioid prescribing safety and reduce overdose risk.
What is being tested
- EHR-Embedded Elevated-Risk Flag (behavioral)
- EHR-Embedded Elevated-Risk Flag with Behavioral Nudges (behavioral)
- Usual Care (behavioral)
Sponsor: University of Pittsburgh · Participants: 1,350 · Started: Mar 10, 2025
Contact the study team
- Lead Research Program Coordinator, CP3 · Phone: (412) 692-4889
Official record on ClinicalTrials.gov — NCT06806163
Locations in the U.S.
| Pennsylvania | University of Pittsburgh, Pittsburgh |
Conditions
From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.