一个基于Web的应用程序,用于心血管疾病患者的风险分层和优化:试点研究
Avinash Pandey1,2, Marie Michelle D'Souza2, Amritanshu Shekhar Pandey2,3
1Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
JMIR cardio
|August 3, 2023
概括
心血管疾病患者的分层和优化 (STOP-CVD) 应用程序是改善心血管疾病患者二次预防治疗的可行和可用的工具,显示出高临床医生满意度.
科学领域:
- 心脏病学 心脏病学
- 数字健康数字健康
- 临床信息学 临床信息学
背景情况:
- 新型疗法改善了动脉样硬化心血管疾病 (ASCVD) 的结果,但在吸收方面面临挑战.
- 需要知识翻译策略来增强二次预防治疗的采用.
- 个性化风险分层和指导可以支持指导方针导向治疗.
研究的目的:
- 测试分层和优化在心血管疾病患者 (STOP-CVD) 应用程序的可行性和可用性.
- 评估STOP-CVD在促进知识转化为二次预防方面的作用.
- 评估临床医生使用护理点风险分层和优化工具的经验.
主要方法:
- 使用REACH登记册试验数据 (67,888名患者) 开发了一个免费的,基于网络的二次风险计算器.
- 该应用程序预测了20个月的心血管事件/死亡风险,并确定了可修改的残留风险.
- 医生们收到了邀请函;用户体验调查和谷歌分析数据是在实施后收集的.
主要成果:
- 在为期一年的试点项目中,受邀的240名临床医生中有47人使用了STOP-CVD应用程序1573次.
- 持续使用平均每月使用131次.
- 所有24名调查受访者都认为该应用程序功能良好,易于使用和有用.
结论:
- STOP-CVD应用程序证明了可行性,可用性和高临床医生满意度.
- 这个工具可以扩展,以支持指导方针导向的医疗治疗.
- 未来的研究将评估对临床管理和患者结果的影响.
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