Group-Based Trajectory Modeling identified three adherence subgroups (52.8% very high, 40.7% high, 6.5% low) over 12 months but failed to demonstrate predictive validity with blood pressure.
Observational (n=905)
Does Group-Based Trajectory Modeling (GBTM) of antihypertensive medication adherence predict blood pressure control at 12 months in older adults?
Group-Based Trajectory Modeling identified distinct adherence patterns but did not predict 12-month blood pressure outcomes in older adults on antihypertensives.
Antihypertensive medication nonadherence is highly prevalent, leading to uncontrolled blood pressure. Methods that facilitate the targeting and tailoring of adherence interventions in clinical settings are required. Group-Based Trajectory Modeling (GBTM) is a newer method to evaluate adherence using pharmacy dispensing (refill) data that has advantages over traditional refill adherence metrics (e.g. Proportion of Days Covered) by identifying groups of patients who may benefit from adherence interventions, and identifying patterns of adherence behavior over time that may facilitate tailoring of an adherence intervention. We evaluated adherence to antihypertensive medication in 905 patients over a 12-month period in a community pharmacy setting using GBTM, identifying three subgroups of adherence patterns: 52.8%, 40.7%, and 6.5% had very high, high, and low adherence, respectively. However, GBTM failed to demonstrate predictive validity with blood pressure at 12 months. Further research on the validity of adherence measures that facilitate interventions in clinical settings is required.
Dillon et al. (Wed,) conducted a observational in Hypertension (n=905). Group-Based Trajectory Modeling (GBTM) was evaluated on Adherence patterns and predictive validity with blood pressure at 12 months. Group-Based Trajectory Modeling identified three adherence subgroups (52.8% very high, 40.7% high, 6.5% low) over 12 months but failed to demonstrate predictive validity with blood pressure.