Evaluating the Clinical Effectiveness and Patient Experience of a Large Language Model–Based Digital Tool for Home-Based Blood Pressure Management: Mixed Methods Study
Alan Jelic, Igor Sesto, Luka Rotkvic, Luka Pavlovic, Nikola Erceg, Nina Sesto, Zeljko Kraljevic, Joshua Au Yeung, Amos Folarin, Richard Dobson, Petroula Laiou

TL;DR
A digital tool for home-based blood pressure management was found to effectively reduce blood pressure and improve user satisfaction over time.
Contribution
This study evaluates a large language model-based digital tool for hypertension management, demonstrating its clinical effectiveness and user acceptance.
Findings
Users experienced significant blood pressure reduction correlated with longer tool usage.
High retention rates and positive user feedback highlight the tool's usability and perceived benefits.
Digital tools with user-centered design can support long-term hypertension management.
Abstract
Hypertension, one of the most common cardiovascular conditions worldwide, necessitates comprehensive management due to its association with multiple health risks. Effective control often involves lifestyle changes and continuous monitoring, yet many individuals struggle to adhere to traditional management approaches. Digital health tools are emerging as promising alternatives, offering remote monitoring and real-time support. This study focuses on evaluating a digital tool specifically designed for hypertension management, analyzing its effectiveness, and gathering user perspectives on its functionality and impact. The primary objective of this study is to assess the effectiveness of a digital health tool in managing hypertension. Additionally, the study aims to understand user experiences and satisfaction levels to gauge the tool’s acceptance and potential for long-term use. By…
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Taxonomy
TopicsMobile Health and mHealth Applications · Blood Pressure and Hypertension Studies · Electronic Health Records Systems
