An Artificial Intelligence-Assisted Digital Health Lifestyle Intervention for Adults With Hypertension
The Effect of an Artificial Intelligence-based, Autonomous, Digital Health Intervention Using Precise Lifestyle Guidance on Blood Pressure in Adults With Hypertension: Single-Arm Nonrandomized Trial
1 other identifier
interventional
141
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable hypertension
Started Nov 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2023
CompletedFirst Submitted
Initial submission to the registry
March 22, 2024
CompletedFirst Posted
Study publicly available on registry
March 29, 2024
CompletedApril 1, 2024
March 1, 2024
1.7 years
March 22, 2024
March 28, 2024
Conditions
Outcome Measures
Primary Outcomes (8)
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
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
Percent change of participants with Stage 2 Hypertension (SBP≥140 or DBP≥90) from baseline to 24 weeks
24 weeks
Secondary Outcomes (4)
Average weekly percentage of active participants measuring their BP
24 weeks
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
Study Arms (1)
AI-Driven Lifestyle Coaching Group
EXPERIMENTALInterventions
The intervention provides participants with automated and personalized lifestyle recommendations involving a sophisticated analytics engine using advanced statistics and machine learning.
Eligibility Criteria
You may qualify if:
- 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
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of California, San Diego
La Jolla, California, 92093, United States
Related Publications (1)
Leitner J, Chiang PH, Agnihotri P, Dey S. The Effect of an AI-Based, Autonomous, Digital Health Intervention Using Precise Lifestyle Guidance on Blood Pressure in Adults With Hypertension: Single-Arm Nonrandomized Trial. JMIR Cardio. 2024 May 28;8:e51916. doi: 10.2196/51916.
PMID: 38805253DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
March 22, 2024
First Posted
March 29, 2024
Study Start
November 1, 2021
Primary Completion
August 1, 2023
Study Completion
August 1, 2023
Last Updated
April 1, 2024
Record last verified: 2024-03