Related Experiment Video
Updated: Aug 13, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Preliminary validation of the Diversion Risk Scale (DRS): Using environmental and individual factors to predict
Ted Jones1, Todd M Moore2, Diana S Meske3
1Pain Consultants of East Tennessee, Knoxville, Tennessee. ORCID: https://orcid.org/0000-0002-9232-1260.
Abstract:
The standard of care calls for the assessment of patients with chronic pain prior to the initiation of opioids, with one part of this assessment including assessment of the risk of misuse of medications. However, traditional opioid risk assessment tools focus almost entirely on individual factors and on the risk of misuse and addiction to opioids. Diversion of opioid medications has been found to be not uncommon, but to date, there have been no assessment tools specifically designed to assess the risk of diversion. In this study, we developed a measure designed specifically to assess the risk of an opioid medication ending up in the hands of someone other than the chronic pain patient to whom they were prescribed. A 15-item measure, the Diversion Risk Scale, was created and administered to 85 patients at a chronic pain practice. Results found that the measure had acceptable predictive validity. It was moderately correlated with traditional opioid risk assessment tools and showed improved ability to predict specific indicators of diversion. Diversion has been an understudied phenomenon, and the clinical value of an assessment tool that can help predict diversion in the chronic pain population is discussed.

