Hypertension
Conditions
Brief summary
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.
Interventions
BEHAVIORALAI-Driven Lifestyle Coaching Program
The intervention provides participants with automated and personalized lifestyle recommendations involving a sophisticated analytics engine using advanced statistics and machine learning.
Sponsors
University of California, San Diego
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Percent change of participants with Stage 2 Hypertension (SBP≥140 or DBP≥90) from baseline to 24 weeks | 24 weeks |
| Average change in DBP from baseline to 24 weeks | 24 weeks |
| Percent change of participants with controlled BP (SBP<130 and DBP<80) from baseline to 12 weeks | 12 weeks |
| Percent change of participants with controlled BP (SBP<130 and DBP<80) from baseline to 24 weeks | 24 weeks |
| Percent change of participants with Stage 2 Hypertension (SBP≥140 or DBP≥90) from baseline to 12 weeks | 12 weeks |
| Average change in systolic blood pressure (SBP) from baseline to 12 weeks | 12 weeks |
| Average change in diastolic blood pressure (DBP) from baseline to 12 weeks | 12 weeks |
| Average change in SBP from baseline to 24 weeks | 24 weeks |
Secondary
| Measure | Time frame |
|---|---|
| Average weekly percentage of active participants syncing their wearable | 24 weeks |
| Average weekly percentage of active participants answering the mobile app questionnaire | 24 weeks |
| Number of manual clinician outreaches based on the escalation rules set for the study | 24 weeks |
| Average weekly percentage of active participants measuring their BP | 24 weeks |
Countries
United States
Outcome results
None listed