REVIEW article

Front. Public Health

Sec. Digital Public Health

Application of Digital Health Technologies in Hypertension Self-Management: A Narrative Review

  • 1. 黑龙江中医药大学, 哈尔滨, China

  • 2. 黑龙江中医药大学附属第一医院, 黑龙江中医药大学, 哈尔滨, China

The final, formatted version of the article will be published soon.

Abstract

Hypertension remains a major global public health challenge and a leading risk factor for cardiovascular morbidity and mortality. Effective long-term control of BP largely depends on sustained patient engagement, medication adherence, and lifestyle modification. However, traditional care models often face limitations in delivering continuous monitoring, personalized support, and long-term behavioral interventions. This review provides a comprehensive overview of digital health interventions—including mobile health (mHealth) applications, wearable devices, and artificial intelligence (AI)-driven tools — in the management of hypertension. Current evidence from randomized controlled trials and observational studies suggests that these technologies can significantly improve medication adherence, enhance self-monitoring of BP, and promote healthier behaviors such as increased physical activity and dietary modification. In particular, mHealth applications incorporating reminders, feedback, and educational components have demonstrated measurable improvements in adherence and BP control. Wearable devices enable real-time physiological monitoring, while AI-based systems offer opportunities for personalized risk prediction and adaptive intervention strategies. Despite these promising findings, several challenges remain. The long-term effectiveness and sustainability of digital health interventions are still not well established, with many studies limited to short follow-up periods. In addition, issues related to interoperability between different digital platforms, data privacy and security concerns, and unequal access to technology may hinder widespread implementation. Variability in study design and intervention components also limits the comparability of findings across studies. Future research should focus on conducting large-scale, long-term trials to evaluate clinical outcomes and cost-effectiveness. Efforts are also needed to improve system integration, enhance user engagement, and ensure equitable access to digital health technologies. Overall, digital health interventions represent a promising and scalable approach to improving hypertension self-management and supporting more efficient, patient-centered care.

Summary

Keywords

artificial intelligence, Digital Health, Hypertension, lifestyle intervention, Medication Adherence, mobile health, self-management, wearable devices

Received

26 April 2026

Accepted

22 May 2026

Copyright

© 2026 赵, 杨 and 吕. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: 月 杨

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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