Overview

The purpose of the proposed observational study is to explore the relations between data-driven personalization and equitable health outcomes in a digital health intervention (DHI) for hypertension management. In the current intervention, behavioral reinforcement learning is applied to personalize intervention content to maximize the behavioral outcomes of three target behaviors critical for effective hypertension management: clinical encounters, medication adherence, and self-monitoring of blood pressure (SMBP).

Eligibility

Inclusion Criteria:

• Patient of Cone Health.
• Hypertension condition considered "uncontrolled" (signaled by an eligibility indicator).
• Most recent blood pressure reading is at or higher than 160/90.

Exclusion Criteria:

• Non-English speaking.
• Globally unsubscribed.
• Locally unsubscribed.
• Deceased.