Related Experiment Video
Updated: Feb 26, 2026

Use of the Operant Orofacial Pain Assessment Device OPAD to Measure Changes in Nociceptive Behavior
Published on: June 10, 2013
Using prescription monitoring program data to characterize out-of-pocket payments for opioid prescriptions in a state
Daniel M Hartung1, Sharia M Ahmed1, Luke Middleton1
1Oregon State University/Oregon Health & Science University, Portland, OR, USA.
Background:
Out-of-pocket payment for prescription opioids is believed to be an indicator of abuse or diversion, but few studies describe its epidemiology. Prescription drug monitoring programs (PDMPs) collect controlled substance prescription fill data regardless of payment source and thus can be used to study this phenomenon.
Objective:
To estimate the frequency and characteristics of prescription fills for opioids that are likely paid out-of-pocket by individuals in the Oregon Medicaid program.
Research Design:
Cross-sectional analysis using Oregon Medicaid administrative claims and PDMP data (2012 to 2013).
Subjects:
Continuously enrolled nondually eligible Medicaid beneficiaries who could be linked to the PDMP with two opioid fills covered by Oregon Medicaid.
Measures:
Patient characteristics and fill characteristics for opioid fills that lacked a Medicaid pharmacy claim. Fill characteristics included opioid name, type, and association with indicators of high-risk opioid use.
Results:
A total of 33 592 Medicaid beneficiaries filled a total of 555 103 opioid prescriptions. Of these opioid fills, 74 953 (13.5%) could not be matched to a Medicaid claim. Hydromorphone (30%), fentanyl (18%), and methadone (15%) were the most likely to lack a matching claim. The 3 largest predictors for missing claims were opioid fills that overlapped with other opioids (adjusted odds ratio [aOR] 1.37; 95% confidence interval [CI], 1.34-1.4), long-acting opioids (aOR 1.52; 95% CI, 1.47-1.57), and fills at multiple pharmacies (aOR 1.45; 95% CI, 1.39-1.52).
Conclusions:
Prescription opioid fills that were likely paid out-of-pocket were common and associated with several known indicators of high-risk opioid use.
More Related Videos
10:17High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
Published on: April 23, 2019
10:13Author Spotlight: An Efficient Methodology to Confidently Differentiate and Characterize Fentanyl Analogs
Published on: November 8, 2024
Related Concept Videos
Prescription, Nonprescription and Orphan Drugs
The misuse and addiction to prescription drugs is a growing problem that can affect people of all age groups, specifically teenagers. This can happen when prescription medications are used in ways not intended by the prescriber, such as taking someone else's prescription or using medication for...
Opioid Analgesics: Morphine and Other Natural Cogeners
Opioid Analgesics: Synthetic and Semisynthetic Opioids
Analgesia and Pain Management
Methods of Documentation II: POMR
Analysis of Population Pharmacokinetic Data