Agreement of Medication Information Derived From <scp>EHR</scp> Data Compared to Medicare Insurance Claims: An Analysis of Biologic Disease‐Modifying Antirheumatic Drugs
The risk of misclassification of drug exposure based on EHR data sources alone is small for Medicare Part B bDMARDs but could be as high as 50% for Part D bDMARDs, in particular for patients who are not dually eligible for Medicare and Medicaid.
Authors
- Jeffrey R. Curtis (ORCID: https://orcid.org/0000-0002-8907-8976)
- Rahaf Baker (ORCID: https://orcid.org/0009-0003-5918-5177)
- Jinoos Yazdany (ORCID: https://orcid.org/0000-0002-3508-4094)
- Gabriela Schmajuk (ORCID: https://orcid.org/0000-0003-2687-5043)
- Fenglong Xie (ORCID: https://orcid.org/0000-0002-7365-4801)
- Rachael Stovall (ORCID: https://orcid.org/0000-0002-0355-4020)
- Jing Li (ORCID: https://orcid.org/0000-0002-3298-2112)
Institutions
- San Francisco VA Medical Center (US)
- University of California, San Francisco (US)
- University of Alabama at Birmingham (US)
Publication Details
- Journal
- Pharmacoepidemiology and Drug Safety
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1002/pds.70020
- Citations
- 2
- Primary Topic
- Medication Adherence and Compliance
- Type
- article
- Field-Weighted Citation Impact
- 1.01
Funders
- National Institutes of Health
- University of California, San Francisco
- National Institute of Arthritis and Musculoskeletal and Skin Diseases
- National Center for Advancing Translational Sciences