Presented at the 2013 AAPM Annual Meeting « Back

Psychosocial, Functional, and Quality of Life Status Associated with Opioid Risk

Fred N. Davis, MD, fdavis@procaresystems.com¹, Rebecca Risko, RN BSN¹, Graham T. Lubinsky, MA², Chris Cubbage, MS¹, Mark L. Gostine, MD³, (1) ProCare Systems, Grand Rapids, Michigan, (2) MSU-CHM, Grand Rapids, Michigan, (3) Michigan Pain Consultants, Grand Rapids, Michigan

Introduction/Statement of the Problem: Misuse, abuse, and overdoses related to chronic opioid use have been identified as a public health problem. (1) Efforts have been directed at identifying patients at risk for aberrant behavior through the use of screening tests such as the Opioid Risk Tool (ORT) developed by Lynn Webster, MD. (2) The ORT has been in use at a large Midwestern community-based pain practice for several years as part of the more comprehensive PRISM patient management system. In an effort to mitigate risk, it is important to have a better global understanding of chronic pain patients and how they will respond to opioid therapy. Materials and Methods: The ORT scores of 14,900 patients were analyzed for the study. This poster will describe how opioid risk scores correlate with a number of demographic, psychosocial, functional, and quality of life dimensions. PRISM Pain Health Assessment (PHA) data routinely collected from chronic pain patients in the practice using IRB approved language in their consent forms will be de-identified and statistically analyzed relative to their opioid risk scores. Results and Conclusions: The goal is to present a multidimensional view of three distinct populations of patients in pain based on low, moderate and high opioid risk scores. With more knowledge about pain patients from a holistic perspective we will be able to target treatments to obtain the best therapeutic results with the least risk. References: 1) Nelson, L.S., Perrone, J, Curbing the Opioid Epidemic in the United States; The Risk Evaluation and Mitigation Strategy (REMS), JAMA 2012; 308 (5): 457-458. doi: 10. 1001/jama. 2012.8165 2) Webster, L.R., Webster, R.M., Predicting Aberrant Behaviors in Opioid-Treated Patients: Preliminary Validation of the Opioid Risk Tool, Pain Medicine; Volume 6: Number 6, 2006; 432-442.

Funding: None.