Using linked electronic medical record-pharmacy data to examine lupus medication adherence: A retrospective cohort study

• Published in: Lupus 2024-10, Vol.33 (12), p.1299-1305
• Main Authors: Sun, Kai, Wojdyla, Daniel, Shah, Ankoor, Eudy, Amanda M, Clowse, Megan EB
• Format: Article
• Language: English
• Subjects: Azathioprine; Electronic health records; Electronic medical records; Hydroxychloroquine; Lupus; Medical records; Methotrexate; Morbidity; Mycophenolic acid; Pharmacy; Systemic lupus erythematosus
• ISSN: 0961-2033; 1477-0962; 1477-0962
• DOI: 10.1177/09612033241280695

Introduction Medication nonadherence is common in systemic lupus erythematosus (SLE) and associated with morbidity and mortality. We explored the reliability of pharmacy data within the electronic medical record (EMR) to examine factors associated with nonadherence to SLE medications. Methods We included patients with SLE who were prescribed ≥1 SLE medication for ≥90 days. We compared two datasets of pharmacy fill data, one within the EMR and another from the vendor who obtained this information from pharmacies and prescription benefit managers. Adherence was defined by medication possession ratio (MPR) ≥80%. In addition to MPR for each SLE medication, we evaluated the weighted-average MPR and the proportion of patients adherent to ≥1 SLE medication and to all SLE medications. We used logistic regression to examine factors associated with adherence. Results Among 181 patients (median age 36, 96% female, 58% Black), 98% were prescribed hydroxychloroquine, 34% azathioprine, 33% mycophenolate, 18% methotrexate, and 7% belimumab. Among 1276 pharmacy records, 74% overlapped between linked EMR-pharmacy data and data obtained directly from the vendor. Only 9% were available from the vendor but not through linked EMR-pharmacy data. The weighted-average MPR was 57%; 45% were adherent to hydroxychloroquine, 46% to ≥1 SLE medication, and 32% to all SLE medications. Older age was associated with adherence in univariable and multivariable analyses. Discussion Our study showed that obtaining linked EMR-pharmacy data is feasible with minimal missing data and can be leveraged in future adherence research. Younger patients were more likely to be nonadherent and may benefit from targeted intervention.