Objectives: To quantify patients' maximum acceptable risk (MAR) of urinary and genital tract infections (UGTI) in exchange for benefits associated with treatments for managing type 2 diabetes mellitus (T2DM).
Methods: In a discrete choice experiment, adult patients with T2DM and currently on metformin and/or sulphonylurea (first-line treatments) were asked to choose between 2 hypothetical medications defined by 6 attributes: years of medication effectiveness in controlling blood glucose, weight reduction, UGTI risk, risk of hospitalization from heart failure, all-cause mortality risk, and out-of-pocket medication cost. We used latent class logistic regression parameters to estimate the conditional relative importance of treatment attributes and MAR of UGTI for various treatment benefits.