Medication adherence, defined as the extent to which a person’s behavior corresponds with agreed upon recommendations from a healthcare professional, remains suboptimal. For example, non-adherence in the first year after starting antihypertensive treatment ranges from 30-80%. A key focus on our work is to understand and address this persistent implementation problem. We use a variety of experimental and observation methods that use techniques from behavioral science, implementation research and machine learning. The following projects are a few examples of our work.
Post-Myocardial Infarction Free Rx and Economic Evaluation
A randomized controlled trial conducted with a national health insurer evaluating the effect of providing full prescription drug coverage to patients after being recently discharged from the hospital.
Funded by: Aetna, the Commonwealth Fund
Randomized Evaluation of an Intervention for Non-adherence to Frame Outreach using Reinforcement learning for Communication and Engagement via text messaging
A pilot randomized controlled trial of patients with suboptimal diabetes control to evaluate the impact of using reinforcement learning to personalize adherence-promoting text messages.
Funded by: NIH/NIA P30AG064199
Study of a Tele-pharmacy Intervention for Chronic diseases to Improve Treatment adherence
A cluster randomized controlled trial conducted with an integrated delivery network evaluating the impact of a multicomponent intervention that used behavioral interviewing, text messaging, mailed progress reports, and video visits.
Funded by: NIH/NHLBI R01HL117918
Targeted Adherence intervention to Reach Glycemic control with Insulin Therapy for Diabetes patients
A randomized controlled trial conducted with a large health insurer evaluating three different targeted multifaceted pharmacist outreach strategies for improving long-term insulin use among individuals with diabetes.
Funded by: Sanofi US