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Relationships Between Blood Pressure Reduction, Weight Loss, and Engagement in a Digital App-Based Hypertension Care
OraLee H Branch1, Mohit Rikhy1, Lisa A Auster-Gussman1
1Lark Technologies, Inc, Mountain View, CA, United States.
JMIR Formative Research
|October 27, 2022
Summary
An AI-powered hypertension care program significantly reduced systolic blood pressure (SBP) in participants within 3-6 months. Weight loss was a key factor in achieving these meaningful SBP reductions.
Area of Science:
- Cardiology
- Digital Health
- Artificial Intelligence in Healthcare
Background:
- Home blood pressure (BP) monitoring is recommended for hypertension management.
- Meta-analyses show BP improvements require coaching support alongside self-monitoring.
- Resource-intensive human coaching models limit scalability.
Purpose of the Study:
- To assess BP and body weight changes in a digital hypertension care program using AI coaching.
- To evaluate the effectiveness of Lark Hypertension Care powered by artificial intelligence (AI).
Main Methods:
- Observational study of 864 participants with baseline systolic BP (SBP) ≥120 mm Hg.
- Primary outcome: Change in SBP at 3 and 6 months.
- Secondary outcomes: Body weight change and associations with demographics and engagement.
Main Results:
- Mean SBP dropped significantly by -5.4 mm Hg at 3 months (P<.001).
- Clinically meaningful SBP reduction (≥5 mm Hg) achieved by ~50% of participants at 3 and 6 months.
- Weight change, starting SBP, and BMI were associated with SBP reduction; weight change mediated program engagement effects.
Conclusions:
- AI-powered hypertension care program demonstrated clinically meaningful SBP reduction.
- Weight loss is significantly associated with achieving target SBP reduction.
- AI offers a scalable solution for hypertension management through lifestyle changes.
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