Chronic Pain Prevalence, Opioid Use, and Primary Care Provider Opioid Prescription Patterns in the U.S. from 2017 to 2019 Derived from Medicaid Claims Data.
Journal:
Studies in health technology and informatics
Published Date:
Aug 7, 2025
Abstract
Chronic non-cancer pain (CNCP) is a major health concern in the United States, incurring substantial healthcare costs and frequently requiring opioid therapy in primary care. This retrospective cross-sectional study used Medicaid claims data from six U.S. states (Indiana, Georgia, Colorado, Ohio, New Mexico, Nevada) from 2017-2019 to estimate chronic pain prevalence and describe opioid use among primary care providers' patient populations. Among more than 7.3 million Medicaid beneficiaries with at least one primary care visit, 24.1% met criteria for chronic pain, with 6.5% of these classified as high-impact chronic pain. Patients were younger than expected (mean age 33.0 years), and 64% were female. Overall, 21.1% of chronic pain patients received at least one opioid prescription, and approximately 60% of those prescriptions were filled within a defined collection window. Machine learning methods predicted opioid prescribing with up to 81% accuracy (XGBoost), highlighting key features such as patient age, number of chronic pain claims, and comorbidities. These findings may guide policy and clinical strategies aimed at improving pain management while reducing opioid risks.
