Pre-post comparative study demonstrates improved hypertension and cardiovascular risk management, indicating better outcomes in primary healthcare units.
BACKGROUND The core of the Chinese Hypertension Prevention and Control Guidelines is to reduce the comprehensive risk of cardiovascular disease in hypertensive patients. Current management of cardiovascular risk factors in hypertensive patients within primary healthcare units faces significant challenges, and the role of information technology in improving the management of cardiovascular risk factors in hypertensive patients remains unclear. OBJECTIVE This study aimed to improve the comprehensive management of blood pressure and cardiovascular risk factors in hypertensive patients at primary healthcare units by utilizing a cardiovascular smart health management platform. METHODS We developed a cardiovascular smart health management platform consisting of a regional integrated system and a mini-program interface. The platform established a big data center, adhered to guideline specifications, and utilized big data analytics and artificial intelligence (AI) technologies to achieve clinical decision support (CDS). Leveraging the system to implement the smart chronic disease management model enabled comprehensive monitoring and analysis of patients' vital signs data, evaluation of atherosclerotic cardiovascular disease (ASCVD) risk, identification of related risk factors, and delivery of guideline-based treatment recommendations. A pre-post comparative study was employed, involving 1,823 patients with hypertension recruited from two primary healthcare units. Primary outcomes included changes in hypertension and diabetes control rates, as well as the percentage of medium to high-risk ASCVD patients achieving low-density lipoprotein cholesterol (LDL-C) target levels, which were evaluated 6 months after platform implementation. RESULTS Implementation of the smart chronic disease management model significantly improved key outcomes. The hypertension control rate increased from 56.8% (1036/1823) to 75.5% (1377/1823) (p<0.05). The diabetes control rate increased from 35.2% (205/583) to 59.0% (344/583) (p<0.05). The proportion of medium to high-risk ASCVD patients achieving LDL-C targets improved from 26.3% (395/1502) to 37.3% (560/1502) (p < 0.05). CONCLUSIONS This study developed a cardiovascular smart health management platform. Implementation of the smart chronic disease management model through this platform effectively improved control of hypertension and associated cardiovascular risk factors in primary healthcare units.
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Wang et al. (2025) studied this question.
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