The Use of Novel Linked Databases to Reduce Postoperative Opioid Use Among Patients Undergoing Inpatient Surgery


Eric Sun, Douglas Colquhoun

Prime Institution: Stanford University

Older adults receive more than half of all surgical procedures in the United States, and surgery places patients at risk for misusing opioids, developing opioid use disorder (OUD), opioid overdose, and negative surgical outcomes. This project seeks to understand whether interventions to prevent negative opioid-related outcomes at the time of surgery (i.e., perioperative care) has an impact on persistent postoperative opioid use. The investigators will combine two data sources – the Multicenter Perioperative Outcomes Group, which is a registry of electronic health records, and Medicare claims data – to develop and test the new dataset to determine if it can be used for understanding perioperative care interventions and opioid outcomes. The team will then use the dataset to evaluate whether surgery care interventions (e.g., opioid administration during the operation) and inpatient stay interventions to prevent long-term opioid use are associated with lower rates of persistent opioid use, OUD, and other negative outcomes. This research will inform additional studies using these two data sets, as well as perioperative care that reduces long-term opioid use and OUD.


Eric Sun, MD, PhD

Eric Sun is an assistant professor in the Department of Anesthesiology, Perioperative and Pain Medicine at the Stanford University School of Medicine. His primary research interest involves the use of large databases and econometric methods to analyze question relating to opioid policies as well as postoperative opioid use. In addition, he is also interested in studying the economics of physician behavior. Dr. Sun received a PhD in Business Economics from the Booth Graduate School of Business at the University of Chicago as well as a MD from the Pritzker School of Medicine at the University of Chicago. He completed a residency in anesthesiology at the Stanford University School of Medicine.

10/12/17      Anesthesiology Staff

Douglas Colquhoun, MBChB

Douglas Colquhoun is an Assistant Professor of Anesthesiology at the University of Michigan. He obtained his medical degree from the University of Glasgow, Scotland and holds master’s degrees in information technology and public Health. He completed residency in Anesthesiology at the University of Virginia and served as a Chief Resident. He subsequently completed Critical Care Fellowship followed by two-year T32 Research fellowship at the University of Michigan. He joined the faculty of University of Michigan in 2019 and is currently completing a K08 career development award from the National Heart Lung and Blood Institute of the National Institute of Health. Douglas is board certified in Anesthesiology, Critical Care Medicine and Clinical Informatics.His research interests are in the application of informatics approaches to further perioperative research and clinically in the understanding of postoperative pulmonary complications. Through this work, he collaborates through Multicenter Perioperative Outcomes Group (MPOG), where he serves as an associate research director. He serves as a lead faculty member within the Data Coordinating Center for an ongoing 12,500 patient perioperative pragmatic randomized controlled trial (THRIVE). In the R61 award, he will work to deepen the integration of postoperative data in the MPOG dataset to improve the characterization of pain and opioid related outcomes.