Precision Nudging for Hypertension Management: Observational Study

The hypertension digital health intervention under study combines behavioral science theory with a type of machine learning called reinforcement learning to enable precision nudging: the selection, assembly, and delivery of behavioral science-based messages created to address barriers to, and promote, management of hypertension. The behavioral design process used for the hypertension DHI intentionally includes research on traditionally underserved populations, such as racial and ethnic minorities and people with lower incomes or educational attainment. By including the right ingredients to meet a diverse set of needs and by effectively personalizing the content each individual sees based on their own reactions, the intervention aims to improve health equity by matching each individual to the right behavioral approach.