An Artificial Intelligence-Assisted Digital Health Lifestyle Intervention for Adults With Hypertension

University of California, San Diego141 enrolled

Overview

This study evaluates the impact of a fully digital, autonomous, and artificial intelligence (AI)-driven lifestyle coaching program on managing blood pressure (BP) among adults diagnosed with hypertension. Participants received a BP monitor and a wearable activity tracker to facilitate data collection. This data, along with responses from a questionnaire mobile app, were analyzed by an automated analytics engine employing statistical and machine learning techniques. The program delivered tailored lifestyle coaching directly to participants through a mobile app, aiming for precise and effective BP management.

Study Type

INTERVENTIONAL

Allocation

Purpose

PREVENTION

Masking

NONE

Enrollment

141

Conditions

Hypertension

Interventions

AI-Driven Lifestyle Coaching Program

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * Age ≥18 years * Stage 2 hypertension based on their most recent clinical measurement (SBP ≥ 140 mmHg or DBP ≥ 90 mmHg per the 2017 American College of Cardiology/American Heart Association guidelines) * Speaking and reading English * Having an Apple iPhone 6s or later, or an Android phone running Android 8.0 or later Exclusion Criteria: * Self-reported diagnosis of coronary heart disease, medical condition or other physical problem necessitating special attention in an exercise program (e.g., cancer, eating disorder, uncontrolled diabetes) * Current participation in a lifestyle modification program or research study * Self-report of being currently pregnant

Outcomes

Primary Outcomes

Average change in systolic blood pressure (SBP) from baseline to 12 weeks

Time frame: 12 weeks

Average change in diastolic blood pressure (DBP) from baseline to 12 weeks

Time frame: 12 weeks

Average change in SBP from baseline to 24 weeks

Time frame: 24 weeks

Average change in DBP from baseline to 24 weeks

Time frame: 24 weeks

Percent change of participants with controlled BP (SBP<130 and DBP<80) from baseline to 12 weeks

Time frame: 12 weeks

Percent change of participants with controlled BP (SBP<130 and DBP<80) from baseline to 24 weeks

Time frame: 24 weeks

Percent change of participants with Stage 2 Hypertension (SBP≥140 or DBP≥90) from baseline to 12 weeks

Time frame: 12 weeks

Percent change of participants with Stage 2 Hypertension (SBP≥140 or DBP≥90) from baseline to 24 weeks

Time frame: 24 weeks

Secondary Outcomes

Average weekly percentage of active participants measuring their BP

Time frame: 24 weeks

Average weekly percentage of active participants syncing their wearable

Time frame: 24 weeks

Average weekly percentage of active participants answering the mobile app questionnaire

Time frame: 24 weeks

Number of manual clinician outreaches based on the escalation rules set for the study

Time frame: 24 weeks

An Artificial Intelligence-Assisted Digital Health Lifestyle Intervention for Adults With Hypertension

Overview

Conditions

Interventions

Eligibility

Locations (1)

Outcomes

Primary Outcomes

Secondary Outcomes