Linking hospital surgery records to lower opioid use after inpatient surgery
The Use of Novel Linked Databasesto Reduce Postoperative Opioid Use Among Patients Undergoing Inpatient Surgery
Using linked surgical and medical records, researchers aim to find ways to reduce long-term opioid use after inpatient 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 ID | NIH-11363268 on NIH RePORTER |
What this research studies
This project connects detailed operating-room data with long-term prescription and claims records to see which perioperative practices lead to less ongoing opioid use. The team will combine a large multicenter perioperative registry (MPOG) with downstream prescription/outcome data to track opioid exposure during hospitalization and months after discharge. By focusing on older adults and measuring intraoperative opioid dosing and other perioperative care elements, researchers will look for patterns tied to persistent postoperative opioid use. Results will be used to suggest perioperative pain-management approaches that could lower the chance of opioid dependence and related harms.
Who could benefit from this research
Good fit: Ideal candidates are older adults undergoing inpatient surgical procedures at hospitals that contribute to the linked datasets and who may be at risk for ongoing opioid use after discharge.
Not a fit: Patients having minor outpatient procedures or those not exposed to prescription opioids after surgery are less likely to benefit directly from this research.
Why it matters
Potential benefit: If successful, this work could help clinicians choose safer pain-control approaches that lower the risk of long-term opioid use and related harms after surgery.
How similar studies have performed: Prior observational and quality-improvement efforts suggest opioid-sparing perioperative approaches can reduce short-term opioid exposure, but using large linked intraoperative-to-outcome datasets to predict long-term opioid use is relatively new.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Sun, Eric — Stanford University
- Study coordinator: Sun, Eric
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.