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Active Not Recruiting
NCT06806163
Machine-Learning Prediction and Reducing Overdoses With EHR Nudges
Conditions: Opioid Overdose, Opioid Use, Opioid Use Disorder, Opioids
Sex: All
Ages: 18 Years – N/A
Healthy volunteers: No
Phase: NA
Enrollment: 1350
Sponsor: University of Pittsburgh
Location: University of Pittsburgh Pittsburgh Pennsylvania
Summary
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.
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
Source: ClinicalTrials.gov (NCT06806163). StuddyBuddy aggregates publicly available trial information.
