Optimizing opioid treatment for pregnant individuals using big data
Using Big Data to Optimize Treatment of Opioid Use Disorder in Pregnancy
This study is looking at how to make treatment for opioid use disorder better for pregnant people, especially in Black communities, by checking how well medications like buprenorphine and methadone are prescribed and used.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project ID | NIH-10948171 on NIH RePORTER |
What this research studies
This research investigates how to improve the treatment of opioid use disorder (OUD) in pregnant individuals by analyzing large datasets. The focus is on understanding disparities in the prescription of medications like buprenorphine and methadone, particularly in Black communities that experience higher rates of overdose. By examining the effectiveness of these treatments and their availability, the research aims to identify and address gaps in care for pregnant people affected by OUD. The study employs advanced statistical methods to draw meaningful conclusions that could inform better treatment practices.
Who could benefit from this research
Good fit: Ideal candidates for this research are pregnant individuals who are experiencing opioid use disorder, particularly those from Black communities.
Not a fit: Patients who are not pregnant or those who do not have opioid use disorder may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and equitable treatment options for pregnant individuals struggling with opioid use disorder.
How similar studies have performed: Other research has shown promise in using big data to address health disparities, suggesting that this approach could yield valuable insights.
Where this research is happening
Saint Louis, United States
- Washington University — Saint Louis, United States (Active)
Researchers
- Principal investigator: Xu, Kevin Young — Washington University
- Study coordinator: Xu, Kevin Young
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.