Background: Active surveillance pharmacovigilance is an emerging approach to identify medications with unanticipated effects. We previously developed a framework called pharmacopeia-wide association studies (PharmWAS) that limits false positive medication associations through high-dimensional confounding adjustment and set enrichment. We aimed to assess the transportability and generalizability of the PharmWAS framework by using medical claims data to reproduce known medication associations with Clostridioides difficile infection (CDI) or gastrointestinal bleeding (GIB).
View Article and Find Full Text PDFImportance: Youths with type 2 diabetes are at higher risk for complications compared with peers with type 1 diabetes, though few studies have evaluated differences in access to specialty care.
Objective: To compare claims with diabetes specialists for youths with type 1 vs type 2 diabetes and the association between specialist claims with multidisciplinary and acute care utilization.
Design, Setting, And Participants: This cross-sectional study used Optum Clinformatics Data Mart commercial claims.