Predicting long-term opioid use in patients
Cross-state validation of a novel prescription-based model to predict new long-term opioid use
This study is working on a tool to help doctors spot patients who might end up using opioids for a long time, which can lead to serious problems like overdose, so they can make safer prescribing choices and keep more people healthy.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California at Davis NIH-funded |
| Lab location | 1 site (Davis, United States) |
| Project ID | NIH-10654837 on NIH RePORTER |
What this research studies
This research aims to develop a predictive model that helps identify patients at risk of transitioning to long-term opioid use, which is linked to overdose and opioid use disorder. By utilizing prescription drug monitoring programs (PDMPs), the study will analyze statewide prescription data to create a generalizable tool that clinicians can use to make informed prescribing decisions. The goal is to enhance clinical decision-making and reduce the incidence of long-term opioid use among previously opioid-naïve patients. This model will be validated across different states to ensure its effectiveness and applicability.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients who are newly prescribed opioids and have no prior history of long-term opioid use.
Not a fit: Patients who are already on long-term opioid therapy or those with established opioid use disorder may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the number of patients who develop long-term opioid use and associated health risks.
How similar studies have performed: Previous research has shown promise in using predictive models for opioid prescribing, indicating potential success for this approach.
Where this research is happening
Davis, United States
- University of California at Davis — Davis, United States (Active)
Researchers
- Principal investigator: Tseregounis, Iraklis Erik — University of California at Davis
- Study coordinator: Tseregounis, Iraklis Erik
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.