用于心血管风险估计的移动应用程序的审查和比较评估:使用mHealth应用程序可用性问卷的可用性评估
Adrijana Svenšek1, Lucija Gosak1, Mateja Lorber1
1Faculty of Health Sciences, University of Maribor, Žitna ulica 15, Maribor, 2000, Slovenia, 386 2 300 4762.
JMIR mHealth and uHealth
|May 9, 2025
概括
移动应用程序可以估计心血管疾病 (CVD) 风险,大多数使用弗拉明翰或ASCVD模型. 可用性各不相同,但易用性被评为高,尽管可视化有限.
科学领域:
- 数字健康数字健康
- 心血管健康 心血管健康
- 医疗信息学 医疗信息学
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡原因,需要有效的风险评估和预防策略.
- 移动应用程序通过个性化反和教育为估计和管理心血管疾病风险提供了一个有希望的途径.
- 当前CVD风险评估应用程序的可用性和可视化功能需要进行彻底的评估.
研究的目的:
- 审查和比较设计用于心血管疾病 (CVD) 风险估计的移动应用程序的可用性.
- 根据mHealth应用可用性问卷 (MAUQ) 标准评估应用程序可用性.
- 分析CVD风险评估应用程序中可视化的包含和有效性.
主要方法:
- 一项对2238个应用程序的系统审查确定了16个符合条件的应用程序,用于从应用程序商店评估心血管疾病风险.
- 应用程序特征的描述性分析,包括目标用户 (医疗保健专业人员或患者) 和功能 (单个/多个风险计算器).
- 使用 mHealth 应用程序可用性问卷 (MAUQ) 的可用性评估,由三位专家评审员进行评分.
主要成果:
- 弗雷明汉风险评分 (50%) 和动脉样硬化心血管疾病风险 (44%) 是最常用的预后模型.
- MDCalc医疗计算器获得了最高的MAUQ总分 (6.76),在易用性和界面/满意度方面表现出色.
- ASCVD风险估计器Plus显示出高效率 (6.80),而可视化应用较少,主要在单功能计算器中.
结论:
- 移动应用程序是估计心血管疾病 (CVD) 风险的宝贵工具,Framingham风险评分被广泛采用.
- 虽然应用程序通常提供了良好的易用性,但有很大的机会通过更复杂和集成的可视化来提高可用性.
- 超过一半的审查应用程序为医疗保健专业人员和患者提供服务,这表明应用范围广泛.
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