This project addresses areas of need described in PA-16-233 ?Prescription Drug Abuse? examining risks for transition from therapeutic use to misuse, and effective prevention or risk reduction approaches for prescription opioids. Over 51 million Americans undergo surgery annually, and opioids are a mainstay for pain management. Opioids prescribed for surgery often instigate long-term use, and precipitate opioid misuse. Surgery represents a critical event where the majority of patients require opioids regardless of prior opioid- related adverse events, and patients taking opioids prior to surgery require higher doses over extended periods compounding risks. Prior research identifies elevated depressive symptoms as a significant predictor of prolonged postoperative opioid use. Also, patients with preoperative depression or opioid use may be at increased risk for opioid misuse after surgery.
Aim 1) of the project will characterize the relationship between preoperative depressive symptoms and opioid use/misuse after surgery by utilizing a perioperative learning healthcare system. The project aims to broadly assess pre-surgical patients for depressive symptoms, and to characterize subsequent opioid-related risks by tracking longitudinal outcomes via the Collaborative Health Outcomes Information Registry-CHOIR system. A prospective cohort of 558 patients, undergoing any elective surgery, will undergo baseline and longitudinal testing via CHOIR (including NIH PROMIS measures of emotional distress). After surgery, participants will report weekly changes in opioid use, opioid misuse, pain, and adverse events for 1 year. We will compare targeted psychological screening via CHOIR to surveillance of routinely available data on depression and antidepressant use in electronic health records (EHRs). We will leverage free text existing in EHRs using data mining algorithms, and correlate self-reported opioid cessation and opioid misuse with data from California?s prescription drug monitoring program (CURES 2.0).
Aim 2) will evaluate the relative efficacy of enhanced usual care (EUC) vs. motivational interviewing and guided opioid weaning (MI+GOW) to promote opioid cessation and prevent opioid misuse after surgery in a high-risk cohort (preoperative opioid users) and Aim 3) will characterize treatment interactions with participant attributes (motivation for change, depressive symptoms), and longitudinal changes in depressive (self-loathing symptoms) throughout treatment. This novel intervention fills a critical knowledge gap regarding evidence- based methods for postoperative opioid tapering. 220 patients undergoing total hip or knee replacement taking opioids both prior to and 2 weeks after surgery, will be randomized to EUC or MI+GOW after surgery and followed for one year. The proposed research will have a marked impact on public health laying the foundation for implementation of preoperative psychological screening, preoperative psychological optimization, and development of additional interventions for patients at risk for chronic opioid use and misuse after surgery.

Public Health Relevance

Novel targets to prevent chronic opioid use and misuse, and approaches to promoting opioid cessation are needed to address the current prescription opioid epidemic. To that end, we propose broadly characterizing the relationship between preoperative depressive symptoms and chronic opioid use after surgery by leveraging a learning health system, and testing the efficacy of a novel motivational interviewing and guided opioid weaning intervention. The resulting wealth of data will provide a foundation for preoperative psychological screening, and an evidence base for optimal postoperative opioid tapering strategies to guide clinical care.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
1R01DA045027-01A1
Application #
9596362
Study Section
Addiction Risks and Mechanisms Study Section (ARM)
Program Officer
Thomas, David A
Project Start
2018-09-01
Project End
2023-06-30
Budget Start
2018-09-01
Budget End
2019-06-30
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Stanford University
Department
Anesthesiology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304