Using new linked databases to cut postoperative opioid use after inpatient surgery
Official title: The Use of Novel Linked Databasesto Reduce Postoperative Opioid Use Among Patients Undergoing Inpatient Surgery
Funded at Stanford University · NIH-11415076 · Data updated 2026-11-12
A study using linked patient data from hospital records to understand and reduce long-term opioid use after surgery, especially in older adults.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | September 1, 2023 |
| Project end | July 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $658,667 |
| NIH project number | 5R33DA059168-03 |
| Project ID | NIH-11415076 on NIH RePORTER |
Who could benefit from this research
✓Could help
Older adults undergoing inpatient surgery, whose perioperative care data and long-term opioid outcomes can be analyzed.
✕Less likely to help
Patients not represented in the linked datasets or without long-term follow-up data may not benefit.
What this research studies
This project will connect large hospital data sets to track how different perioperative care practices affect long-term opioid use after inpatient surgery. Researchers will analyze how intraoperative opioid exposure and other perioperative factors relate to persistent opioid use and potential opioid use disorder. The goal is to identify effective strategies to minimize long-term opioid problems for older adults undergoing surgery. The work relies on real patient data from multiple centers and will inform future clinical decisions and guidelines.
Why it matters
Potential benefit: If successful, the findings could guide perioperative care to reduce long-term opioid problems after surgery, improving safety and outcomes for patients.
How similar studies have gone: Prior work with linked perioperative datasets has shown promise in identifying factors associated with PPOU, though data limitations remain a challenge.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Sun, Eric — Stanford University
- Study coordinator: Sun, Eric
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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.