The goal of the study is to validate a Prescription Drug Monitoring Program-based opioid risk metric to discriminate between low, moderate, and high-risk opioid use disorder. The World Health Organization Alcohol, Smoking, and Substance Involvement Screening Test (WHO ASSIST) will be used as the gold standard instrument that defines patient risk levels. No intervention or hypothesis will be tested.

Fatal overdose deaths involving prescription opioids, heroin, and synthetic opioids has continued to increase across the US-continuing to increase in 35 states from 2013-2017. Given these persistent trends for adverse opioid-related outcomes in populations across the US, it is critical to work to identify those who are at risk, deliver appropriate care that will help prevent progression to more severe opioid-related outcomes, and provide referral and treatment resources to those who suffer from opioid use disorder. Therefore, it is necessary to expand the continuum of care to health care settings that previously may have been underutilized. One underutilized resource for addressing the current opioid epidemic is community pharmacies.The most important clinical tool pharmacists have available to identify possible misuse of opioid medications is prescription drug monitoring programs (PDMP),which capture patient-level prescription dispensing information to inform monitoring, dispensing decisions, and possible intervention.These tools are available in all US states and have the potential to enable pharmacists to identify patients at-risk for opioid-related adverse events, such as addiction and overdose. In light of the continued escalation of the opioid epidemic nationally, combined with the promising opportunities afforded by the further inclusion of community pharmacy settings for engaging patients with opioid-related risk, it is important to evaluate whether current PDMP risk metrics correlate with clinically validated opioid risk tools and if clinically meaningful risk cutoffs exist for PDMP risk metrics.

This study will evaluate the concurrent validity of a PDMP-based opioid risk metric as a clinical measure of high risk opioid use and establish clinically useful risk-level thresholds relative to the widely validated gold standard of the World Health Organization Alcohol, Smoking, and Substance Involvement Screening Test (WHO ASSIST). This study is a one group, cross-sectional, health assessment study. Participants who enroll in the study will complete on-line surveys at a single time point. Approximately 1,523 patients will be recruited from approximately 15 community community pharmacies. Trained pharmacy staff will inform potentially eligible participants, or individuals receiving at least one prescription(s) for potentially eligible participants, of the survey opportunity. Patients recruited will complete validated measures to assess opioid use and risk behaviors, substance use, and physical and mental health. A series of a priori analyses will be conducted to evaluate the validity of the PDMP-based opioid risk metric relative to the widely validated gold standard WHO ASSIST and to identify cutoff thresholds. Correlational, regression, and Cohen's Kappa statistical analyses will also be conducted to evaluate the relationship between the risk metric and the WHO ASSIST.

Inclusion Criteria:

1. be dispensed ≥1 opioid medication (including tramadol) by a participating pharmacy;
2. be ≥18 years of age according to pharmacy data and self-report

Exclusion Criteria:

1. solely filling buprenorphine or buprenorphine combination products i.e., patients receiving OUD treatment with no other opioid medication use;
2. currently receiving treatment for cancer;
3. having previously completed the survey;
4. having current involvement with the criminal justice system that has, or could, lead to incarceration

Adults 18 years or older, prescribed opioid medications from one of 15 participating pharmacies.

This was a minimal risk study, and as such no adverse events were collected.

All-cause mortality, serious adverse events, and other (not including serious) adverse events were not monitored.