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ROYBAL ALL-HANDS MEETING
March 9-10, 2022
The overarching goal of the BWH Roybal Center is to develop principle-driven interventions to enhance the evidence-based use of prescription medications. The Center focuses on the thematic area of sustaining behavior change, with subthemes related to harnessing technology to promote healthy aging and improving healthcare delivery using machine learning. The following videos offer details about each of the seven ongoing pilot projects funded through our Center.
Reinforcement learning to personalize message framing for health habits (REINFORCE)
Investigative Team: Julie Lauffenburger, PharmD, PhD, Marie McDonnell, MD, Punam Keller, MBA, PhD, Elad Yom-Tov, MA, PhD, and Niteesh Choudhry, MD, PhD This pilot seeks to evaluate the feasibility and effectiveness of a machine-learning based approach to optimize and personalize medication adherence health communication for patients with diabetes. The project consists of a pragmatic trial. We also seek to cluster intervention patients by their response to different types of messages and evaluate the ability to predict these cluster phenotypes using information prior to randomization.
Using Cues and Rewards in Patients with Arthritis and Rheumatic Disease
Investigative Team: Candace Feldman, MD, MPH, ScD, Wendy Wood, PhD, Niteesh Choudhry, MD, PhD, Robert Glynn, PhD, ScD, and Ted Robertson, MPA This pilot aims to evaluate the feasibility and effectiveness of a habit formation intervention to motivate medication adherence for patients with rheumatic conditions. We are conducting a pragmatic randomized trial to determine whether strategies that couple context cues and intermittent rewards improve medication adherence in rheumatic patients.
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