Optimizing MOUD Access in Maryland with Data-Driven Plans
Official title: Optimizing MOUD Expansion in Maryland Using Data-Driven Implementation Strategies
Funded at Univ of Maryland, College Park · NIH-11459325 · Data updated 2026-11-12
A Maryland-focused project aims to make more people with opioid use disorder start and stay on medications by using data to guide where mobile clinics, telehealth, and provider training should go.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of Maryland, College Park NIH-funded |
| Lab location | 1 site (College Park, United States) |
| Project start | September 1, 2026 |
| Project end | August 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $444,801 |
| NIH project number | 1R21DA066724-01 |
| Project ID | NIH-11459325 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with opioid use disorder or at high risk of OUD in Maryland who face access barriers to MOUD.
✕Less likely to help
Individuals without OUD or those in areas where MOUD access is already optimal may see little direct benefit.
What this research studies
This project will build a MOUD Access Index using local data on opioid trouble, where providers are, travel patterns, and other factors to identify gaps. It will then use spatial optimization to choose where to deploy three strategies—mobile MOUD services, teleMOUD, and targeted training—so more people can access treatment with less travel burden. The study will compare the costs and health impact of these geo-optimized approaches versus current service distribution, including how many people start MOUD and how many overdose cases might be prevented. Findings will be grounded in Maryland’s real-world constraints to inform scalable implementation.
Why it matters
Potential benefit: If successful, the project could boost MOUD initiation and reduce overdose risk by guiding more effective, accessible treatment delivery.
How similar studies have gone: Prior studies show data-driven planning can improve service coverage, but this approach in Maryland is novel in using an integrated access index and optimization.
Where this research is happening
-
Univ of Maryland, College Park
College Park, United States Active
Researchers
- Principal investigator: Triplett, Noah Shay — Univ of Maryland, College Park
- Study coordinator: Triplett, Noah Shay
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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.