对心血管疾病风险患者的生活方式改变的交互式数字可视化咨询:随机对照试验
Adrijana Svenšek1, Mateja Lorber1, Zalika Klemenc-Ketiš2,3,4
1Faculty of Health Sciences, University of Maribor, Žitna ulica 15, Maribor, 2000, Slovenia, 386 2 30 04 762.
JMIR public health and surveillance
|January 22, 2026
概括
数字健康工具,如心血管疾病风险可视化和持续的葡萄糖监测,显示了改善健康生活方式和患者参与的前景. 需要对更大样本进行进一步的研究来证实这些影响.
科学领域:
- 数字健康和心血管疾病 (CVD) 预防.
- 个性化医疗和以患者为中心的护理 (PCC).
- 在初级保健中数字干预的可行性.
背景情况:
- 心血管疾病 (CVD) 是导致死亡的主要原因,需要有效的初级预防策略.
- 数字健康工具为监测健康指标和支持生活方式变化提供了可访问的方法.
- 可视化健康数据可以增强患者的理解和医疗保健沟通.
研究的目的:
- 评估心血管疾病风险可视化 (Petal-X) 和持续葡萄糖监测 (CGM) 对生活方式变化和对以人为中心的护理 (PCC) 的看法的影响.
- 评估这些数字工具的有效性,单独或组合,在患有心血管疾病风险增加的患者.
主要方法:
- 一个四臂,单盲,2x2因子随机对照可行性试验.
- 101名参与者完成了6个月的随访,随机分配到花-X + CGM,仅CGM,仅花-X或标准护理.
- 主要结局包括健康的生活方式 (HLPCQ) 和对PCC的感知 (PCPI-SU);次要结局包括SCORE2,人体测量和生物年龄.
主要成果:
- 在所有组中,健康的生活方式和PCC得分均有所改善,两组之间没有统计学上显著的差异.
- 日常生活的领域显示出最高的基线和改善的生活方式得分.
- 在所有群体中,共享决策是PCC感知最高评级的领域.
结论:
- 虽然健康的生活方式和感知PCC得分有所改善,但干预措施没有产生统计学上显著的群体间差异.
- 心血管疾病风险可视化 (Petal-X) 显示了提高患者意识和参与护理规划的潜力.
- 更大,更长的试验是必要的,以优化对生活方式改变的数字工具,并确认其有效性.
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