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

Publication ,  Journal Article
Sun, K; Wojdyla, D; Shah, A; Eudy, AM; Clowse, ME
Published in: Lupus
October 2024

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.

Duke Scholars

Published In

Lupus

DOI

EISSN

1477-0962

Publication Date

October 2024

Volume

33

Issue

12

Start / End Page

1299 / 1305

Location

England

Related Subject Headings

  • Risk Factors
  • Retrospective Studies
  • Registries
  • Pharmacies
  • Middle Aged
  • Male
  • Lupus Erythematosus, Systemic
  • Logistic Models
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
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Sun, K., Wojdyla, D., Shah, A., Eudy, A. M., & Clowse, M. E. (2024). Using linked electronic medical record-pharmacy data to examine lupus medication adherence: A retrospective cohort study. Lupus, 33(12), 1299–1305. https://doi.org/10.1177/09612033241280695
Sun, Kai, Daniel Wojdyla, Ankoor Shah, Amanda M. Eudy, and Megan Eb Clowse. “Using linked electronic medical record-pharmacy data to examine lupus medication adherence: A retrospective cohort study.Lupus 33, no. 12 (October 2024): 1299–1305. https://doi.org/10.1177/09612033241280695.
Sun K, Wojdyla D, Shah A, Eudy AM, Clowse ME. Using linked electronic medical record-pharmacy data to examine lupus medication adherence: A retrospective cohort study. Lupus. 2024 Oct;33(12):1299–305.
Sun, Kai, et al. “Using linked electronic medical record-pharmacy data to examine lupus medication adherence: A retrospective cohort study.Lupus, vol. 33, no. 12, Oct. 2024, pp. 1299–305. Pubmed, doi:10.1177/09612033241280695.
Sun K, Wojdyla D, Shah A, Eudy AM, Clowse ME. Using linked electronic medical record-pharmacy data to examine lupus medication adherence: A retrospective cohort study. Lupus. 2024 Oct;33(12):1299–1305.
Journal cover image

Published In

Lupus

DOI

EISSN

1477-0962

Publication Date

October 2024

Volume

33

Issue

12

Start / End Page

1299 / 1305

Location

England

Related Subject Headings

  • Risk Factors
  • Retrospective Studies
  • Registries
  • Pharmacies
  • Middle Aged
  • Male
  • Lupus Erythematosus, Systemic
  • Logistic Models
  • Humans
  • Female