概率格式对点 (单一概率) 任务的影响,第1部分:一个让数字有意义的系统审查
Jessica S Ancker1, Natalie C Benda2, Mohit M Sharma3
1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
MDM policy & practice
|February 25, 2025
概括
了解健康数字至关重要. 数据呈现格式显著影响人们如何回忆,对比,分类和计算健康信息,尽管证据质量各不相同.
科学领域:
- 卫生传播研究 卫生传播研究
- 人与计算机的互动.
- 数据可视化数据可视化
背景情况:
- "让数字变得有意义"项目进行了一项系统审查,以指导健康号码的沟通.
- 这次审查的重点是数据呈现格式对理解单个健康概率的影响.
研究的目的:
- 提供关于数据呈现格式如何影响健康信息的识别,回忆,对比,分类和计算的证据.
- 综合研究结果,研究涉及单个概率的"点任务".
主要方法:
- 实验和准实验研究的系统审查.
- 在多个数据库 (MEDLINE,Embase,CINAHL,Cochrane,PsycINFO,ERIC,ACM) 和手动搜索的期刊中进行了搜索.
- 从99篇文章中提取了关于刺激,任务和结果的数据,报告了218个发现.
主要成果:
- 中等到强有力的证据表明,图标数组与人形图片可以提高回忆力,而不是块数组.
- 与死亡率曲线相比,生存曲线增强了与死亡率曲线相比,最高生存率的识别.
- 带有数据标签的条形图改进了比仅仅数字或图形的计算.
- 匹配分母改善了利率计算;框架影响了风险选择.
结论:
- 关于数据呈现格式对识别,回忆,对比,分类和计算的影响的证据往往很弱或不足.
- 很少有发现足够可比,以建立强有力的基于证据的结论.
- 不同质的研究设计限制了产生强有力的证据的能力.
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