A Novel Approach to PDMP Reporting: Adapting Opioid Quality Measures to PDMP Data.

Objective: The SUPPORT Act provided resources for developing prescription drug monitoring programs (PDMPs) capable of reporting on four specific opioid quality measures. Therefore, the objective of this pilot study was to map, test, and adapt these claims-based opioid quality measures specified for health plan performance to PDMP data for state-level performance.

Materials And Methods: Maryland PDMP and claims from Maryland Medicaid beneficiaries continuously enrolled from April 1, 2019, to March 31, 2020.

Comparing person-level matching algorithms to identify risk across disparate datasets among patients with a controlled substance prescription: retrospective analysis.

Background: The opioid epidemic in the United States has precipitated a need for public health agencies to better understand risk factors associated with fatal overdoses. Matching person-level information stored in public health, medical, and human services datasets can enhance the understanding of opioid overdose risk factors and interventions.

Objective: This study compares approximate match versus exact match algorithms to link disparate datasets together for identifying persons at risk from an applied perspective.

Performance of a Predictive Model versus Prescription-Based Thresholds in Identifying Patients at Risk of Fatal Opioid Overdose.

Prescription Drug Monitoring Programs (PDMPs) collect controlled substance prescriptions dispensed within a state. Many PDMP programs perform targeted outreach (i.e.

Predicting Opioid Overdose Deaths Using Prescription Drug Monitoring Program Data.

Introduction: Prescription Drug Monitoring Program data can provide insights into a patient's likelihood of an opioid overdose, yet clinicians and public health officials lack indicators to identify individuals at highest risk accurately. A predictive model was developed and validated using Prescription Drug Monitoring Program prescription histories to identify those at risk for fatal overdose because of any opioid or illicit opioids.

Methods: From December 2018 to July 2019, a retrospective cohort analysis was performed on Maryland residents aged 18-80 years with a filled opioid prescription (n=565,175) from January to June 2016.