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

March 28, 2024 updated by: Sujit Dey, University of California, San Diego

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

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 Overview

Status

Completed

Conditions

Study Type

Interventional

Enrollment (Actual)

141

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • California
      • La Jolla, California, United States, 92093
        • University of California, San Diego

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AI-Driven Lifestyle Coaching Group
The intervention provides participants with automated and personalized lifestyle recommendations involving a sophisticated analytics engine using advanced statistics and machine learning.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Average change in systolic blood pressure (SBP) from baseline to 12 weeks
Time Frame: 12 weeks
12 weeks
Average change in diastolic blood pressure (DBP) from baseline to 12 weeks
Time Frame: 12 weeks
12 weeks
Percent change of participants with controlled BP (SBP<130 and DBP<80) from baseline to 12 weeks
Time Frame: 12 weeks
12 weeks
Percent change of participants with controlled BP (SBP<130 and DBP<80) from baseline to 24 weeks
Time Frame: 24 weeks
24 weeks
Percent change of participants with Stage 2 Hypertension (SBP≥140 or DBP≥90) from baseline to 12 weeks
Time Frame: 12 weeks
12 weeks
Percent change of participants with Stage 2 Hypertension (SBP≥140 or DBP≥90) from baseline to 24 weeks
Time Frame: 24 weeks
24 weeks
Average change in SBP from baseline to 24 weeks
Time Frame: 24 weeks
24 weeks
Average change in DBP from baseline to 24 weeks
Time Frame: 24 weeks
24 weeks

Secondary Outcome Measures

Outcome Measure
Time Frame
Average weekly percentage of active participants measuring their BP
Time Frame: 24 weeks
24 weeks
Average weekly percentage of active participants syncing their wearable
Time Frame: 24 weeks
24 weeks
Average weekly percentage of active participants answering the mobile app questionnaire
Time Frame: 24 weeks
24 weeks
Number of manual clinician outreaches based on the escalation rules set for the study
Time Frame: 24 weeks
24 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 1, 2021

Primary Completion (Actual)

August 1, 2023

Study Completion (Actual)

August 1, 2023

Study Registration Dates

First Submitted

March 22, 2024

First Submitted That Met QC Criteria

March 22, 2024

First Posted (Actual)

March 29, 2024

Study Record Updates

Last Update Posted (Actual)

April 1, 2024

Last Update Submitted That Met QC Criteria

March 28, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2 (Other Identifier: Instituto Cardiovascular de Buenos Aires)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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