Remote monitoring systems increased blood pressure control rates by 15 to 25 percentage points compared to usual care in community hypertensive patients.
Do smart management models improve blood pressure control in community-dwelling hypertensive patients compared to conventional management?
Smart community hypertension management models utilizing mobile health, IoT, and AI show promise in improving blood pressure control rates and resource efficiency, though challenges like the digital divide must be addressed.
Effect estimate: Increase of 15-25 percentage points in control rates
Absolute Event Rate: 15% vs 0%
Abstract: Hypertension control remains a significant challenge in primary care worldwide. Conventional community management, which relies on manual follow-ups and scattered records, often leads to inefficiencies and inequities. The emergence of mobile health, Internet of Things devices, and artificial intelligence offers transformative solutions. This narrative review synthesizes recent evidence on smart hypertension management in community settings. Here, we identified three dominant management approaches. One approach uses mobile health systems to support patient self-management. Another employs remote monitoring platforms to enable timely clinical interventions. A third applies artificial intelligence tools to automate follow-up processes. Evidence indicates these smart models can lead to clinically meaningful improvements. For instance, remote monitoring interventions have been associated with improved blood pressure control rates, in some cases by 15– 25 percentage points. They also optimize resource allocation, particularly for underserved groups. However, key challenges persist, including the digital divide and data security concerns. This review synthesizes evidence demonstrating that smart management models can yield measurable, quantitative improvements in blood pressure control and resource efficiency. Future efforts must therefore be guided by this evidence, prioritizing large-scale trials to strengthen the findings and developing supportive policies on equity and data governance to ensure these solutions are effective, equitable, and secure. Keywords: hypertension, community health services, digital health, smart management, primary health care
Yang et al. (2026) conducted a review in Community patients with hypertension including elderly and rural populations. Remote monitoring systems combined with primary care management vs. Usual care was evaluated on Blood pressure control rate (Increase of 15-25 percentage points in control rates). Remote monitoring systems increased blood pressure control rates by 15 to 25 percentage points compared to usual care in community hypertensive patients.