Dynamic analysis of medication adherence reveals significant influence of data source and methodology on outcomes.
Adherence measurement is not fixed but shaped by data source and methodology. Both timestamp choice and gap-handling substantially influence adherence estimates and patient classification. Our dynamic, patient-specific approach to gap adjustment yielded stable metrics, and exposure-based measures remained more source-sensitive. Standardizing and transparently reporting adherence definitions is essential to avoid misclassification. Future work should evaluate the prognostic value of gap-adjusted vs exposure PDC in predicting cardiovascular outcomes to guide more meaningful quality measures and value-based care.
No takes yet. Share an insight, caveat, or question.
Zheng et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: