BACKGROUND
Despite strong and growing interest in ending the ongoing opioid health crisis, there has been limited success in reducing the prevalence of opioid addiction and the number of deaths associated with opioid overdoses. One explanation for this is that existing interventions target those who are opiate-dependent but do not prevent opioid-naïve patients from becoming addicted.
OBJECTIVE
Leveraging behavioral economics at the patient level could help patients successfully use, discontinue, and dispose of their opioid medications in an acute pain setting. The primary goal of this project is to evaluate the effect of the three versions of the Opioid Management for You (OPY) tool on measures of opioid use relative to the standard of care by leveraging a pragmatic randomized controlled trial (RCT).
METHODS
A team of researchers from the Center of Learning Health System Sciences (CLHSS) at the University of Minnesota partnered with M Health Fairview (MHFV) to design, build, and test the three versions of the OPY tool: social influence, pre-commitment, and testimonial version. The tool is being built using the Epic Care Companion platform and interacts with the patient through their existing MyChart personal health record (PHR) account, and Epic patient portal, accessed through a phone app or the MyChart website. We have demonstrated feasibility with pilot data of the social influence version of the OPY app by targeting our pilot to a specific cohort of patients undergoing upper-extremity procedures. This study will use a group sequential RCT design to test the impact of this important health system initiative. Patients who meet OPY inclusion criteria will be stratified into low, intermediate, and high risk of opiate use based on their type of surgery.
RESULTS
The implementation of this intervention has been fully resourced by MHFV. This study is being funded and supported by the CLHSS Rapid Prospective Evaluation (RapidEval) and Digital Technology Innovation Programs. Support and coordination provided by CLHSS include the structure of engagement, survey development, data collection, statistical analysis, and dissemination The pilot was launched in February 2023 and is still running. The actual RCT is planned to start by early 2024.
CONCLUSIONS
Through this RCT, we will test our hypothesis that patient opioid use and diverted prescription opioid availability can both be improved by information delivery applied through a behavioral economics lens via sending nudges directly to the opioid users through their PHR.
CLINICALTRIAL
NCT06124079