Machine-Learning Prediction and Reducing Overdoses With EHR Nudges
This study is looking at new ways to help doctors prevent opioid overdoses. It's testing if a special flag in your electronic health record (EHR) can help. This flag would show if you're at a higher risk for an opioid overdose, based on a computer program. Doctors might see this flag, and some might also get extra tips, called "behavioral nudges," to help them make decisions about your care. The goal is to make opioid prescribing safer and lower the risk of overdose. You could be eligible if you're 18 or older, have received an opioid prescription in the last year, and have visited an internal medicine or family care doctor recently. The study is currently unclear on its recruitment status.
- Study design
- This is an interventional study involving about 1350 participants. It compares different approaches to clinician alerts within the electronic health record.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your prescribing practices will be assessed for 4 months after your first primary care visit in the study.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Machine-Learning Prediction and Reducing Overdoses With EHR Nudges
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Walid F Gellad, MD, MPH · PRINCIPAL_INVESTIGATOR · University of Pittsburgh Center for Pharmaceutical Policy and Prescribing
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Prescribing Practices Composite ScoreAssessed at 4 months following study enrollment (i.e., at 4 months after the first encounter in the study period. An encounter refers to the 1st primary care visit for a patient enrolled in the study.)
This outcome measures a composite of three prescribing practices associated with a reduced risk of opioid overdose. Each of the three is assigned a value of one point, with the composite score ranging from 0 to 3: 1. Naloxone prescription: Evidence of a prescription for naloxone. 2. Opioid dosage \< 50 morphine milligram equivalents (MME) per day: No prescriptions exceeding 50 MME/day during the measurement period. 3. No opioid and benzodiazepine overlap: No concurrent prescriptions for opioids and benzodiazepines. The composite score will be treated as a 3-point ordinal measure reflecting adherence to these prescribing practices.