视觉化在估计心血管疾病风险中的作用:范围审查
Adrijana Svenšek1, Mateja Lorber1, Lucija Gosak1
1Faculty of Health Sciences, University of Maribor, Maribor, Slovenia.
视觉化技术很少被整合到心血管疾病 (CVD) 风险模型中,尽管它们有可能改善患者的理解和结果. 需要进一步的研究来探索数字健康干预措施对心血管疾病风险管理的有效性.
科学领域:
- 数字健康数字健康
- 生物医学是生物医学.
- 生物信息学是一种生物信息学.
背景情况:
- 管理慢性疾病和心血管疾病 (CVD) 风险存在重大挑战.
- 健康数据可视化对于患者的理解和行为修改至关重要.
- 数字健康技术可以促进健康的生活方式,并有助于评估心血管疾病风险.
研究的目的:
- 审查和介绍用于估计心血管疾病风险的最常用的可视化技术.
主要方法:
- 根据PRISMA-ScR指南进行了范围审查.
- 搜索内容包括PubMed,CINAHL Ultimate,MEDLINE,科学网和谷歌学者等.
- 包括关于数字健康,移动健康和用于心血管疾病风险估计的决策支持系统的英语文章.
主要成果:
- 包括17项研究,使用不同的方法.
- 通常使用的危险因素包括年龄,性别,血压,吸烟状况和糖尿病.
- 视觉线索 (59%),条形图 (29%) 和图形 (24%) 是最常见的可视化技术.
结论:
- 视觉化在心血管疾病风险预后模型中未得到充分利用,尽管它有好处.
- 基于技术的干预措施可以提高医疗保健工作人员的表现和患者的合规性.
- 关于移动健康在改善心血管疾病结果方面的有效性证据仍然有限.
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