Improving Pain Management and Opioid Safety Through a Systemwide Data-Driven Evaluation of the CDC Opioid Prescribing Guideline Best Practices and the Use of Clinical Decision Support

PI(s): 

Jason Hoppe

Prime Institution: University of Colorado

Effectively treating pain while safely prescribing opioid pain medication to prevent opioid use disorder and overdose is a public health priority. Clinical decision support (CDS) is a promising strategy to operationalize evidence-based practices in pain management and maximize the value of routinely collected data. The investigators will use electronic health record-embedded CDS to modify provider behavior toward CDC guideline-concordant recommendations. This project will foster a data-driven learning health system by linking Prescription Drug Monitoring Program, insurance claims, and death data to evaluate patient outcomes. A hybrid effectiveness-implementation trial in a health system will evaluate the association between CDC guideline-concordant actions and patient outcomes and assess the effectiveness of a CDS to facilitate evidence-based pain management approaches in comparison to usual care. Results will document the effectiveness of CDC guideline-concordant prescribing and a scalable implementation strategy using existing data to decrease morbidity and mortality from the opioid crisis.