Impact of artificial intelligence-assisted health management on blood pressure and self-management efficacy in older adults with hypertension.
Xiaorui Yang, Xinyue Huang, Yue Cui et al.
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In 30 seconds
This randomized controlled trial compared AI-assisted health management with routine care in older adults with hypertension. The intervention included intelligent monitoring, early warning and proactive intervention. After one year, blood pressure control (<140/<90 mm Hg) was higher with AI-assisted management than usual care (88.66% vs. 64.89%); systolic and diastolic blood pressure were also lower. The intervention group additionally showed greater improvements in lifestyle behaviours, hypertension knowledge, self-management efficacy, medication beliefs, quality of life and satisfaction.
Key findings
- Blood pressure control was 88.66% with AI-assisted management versus 64.89% with usual care after one year.
- Systolic blood pressure was 128.49 ± 6.63 vs. 135.38 ± 7.31 mmHg, and diastolic pressure was 77.49 ± 6.07 vs. 81.84 ± 5.44 mmHg.
- Lifestyle improvements favoured AI-assisted management, including low-salt and low-fat diet adherence (77.32% vs. 58.51%) and regular exercise attainment (59.79% vs. 44.68%).
- The intervention group had higher scores for hypertension knowledge, self-management behaviour, medication beliefs, quality of life and service satisfaction.
Why it matters
Blood pressure control in older adults depends on more than medication alone; monitoring, health knowledge and sustained self-management are also relevant. This trial suggests that an AI-supported management approach may improve both measured blood pressure outcomes and several behaviours and patient-reported outcomes compared with routine management. The findings provide evidence for evaluating technology-supported care as a way to support ongoing hypertension management.