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点(单概率)任务如何受到概率格式的影响,第1部分:使数字有意义的系统评价

How Point (Single-Probability) Tasks Are Affected by Probability Format, Part 1: A Making Numbers Meaningful Systematic Review.

作者信息

Ancker Jessica S, Benda Natalie C, Sharma Mohit M, Johnson Stephen B, Demetres Michelle, Delgado Diana, Zikmund-Fisher Brian J

机构信息

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Columbia University School of Nursing, New York, NY, USA.

出版信息

MDM Policy Pract. 2025 Feb 24;10(1):23814683241255333. doi: 10.1177/23814683241255333. eCollection 2025 Jan-Jun.

Abstract

UNLABELLED

To create guidance on the effect of data presentation format on communication of health numbers, the Making Numbers Meaningful project undertook a systematic review. This article (one of a series) covers research studying so-called "point tasks," in which a reader examines stimuli to obtain information about single probabilities. The current article presents the evidence on the effects of data presentation format on multiple outcomes: identification and recall, contrast, categorization, and computation. MEDLINE, Embase, CINAHL, the Cochrane Library, PsycINFO, ERIC, ACM Digital Library; hand search of 4 journals. Manual pairwise screening to identify experimental and quasi-experimental research comparing 2 or more formats for quantitative health information for patients or other lay audiences. This article reports on 218 findings from 99 articles on single probability communication. Pairwise extraction of data on stimulus (data in a data presentation format), task, and perceptual/affective/cognitive/behavioral outcomes. Most evidence on these outcomes was weak or insufficient. There was moderate to strong evidence that 1) recall was better with icon arrays with human figures than icon arrays with blocks, 2) survival curves make it easier to identify points of highest survival than mortality curves (contrast outcome), 3) adding an average population probability to a message about an individual probability may not affect recall, 4) computation performance is better with bar charts combined with data labels than with either numbers or graphics alone, 5) computation performance with rates is better when denominators match, and 6) framing strongly affects risky choices (contrast). Heterogeneous study designs reduced the ability to develop strong evidence. Few findings assessing identification or recall, contrast, categorization, or computation outcomes for point tasks were comparable enough to each other to generate strong evidence.

HIGHLIGHTS

Many researchers have studied the effects of data presentation formats of single probabilities on different outcomes.However, few findings are comparable enough to allow for strong evidence-based conclusions about the impact on identification, recall, contrast, categorization, and computation outcomes.

摘要

未标注

为制定关于数据呈现形式对健康数字沟通影响的指南,“让数字有意义”项目进行了一项系统综述。本文(系列文章之一)涵盖了对所谓“点任务”的研究,即读者检查刺激物以获取关于单个概率的信息。当前文章展示了关于数据呈现形式对多种结果影响的证据:识别与回忆、对比、分类和计算。检索了MEDLINE、Embase、CINAHL、考科蓝图书馆、PsycINFO、ERIC、ACM数字图书馆;对4种期刊进行手工检索。通过手动两两筛选来识别比较两种或更多种针对患者或其他普通受众的定量健康信息呈现形式的实验性和准实验性研究。本文报告了来自99篇关于单一概率沟通文章的218项研究结果。对关于刺激物(数据呈现形式中的数据)、任务以及感知/情感/认知/行为结果的数据进行两两提取。关于这些结果的大多数证据都很薄弱或不充分。有中等至强有力的证据表明:1)带有人物形象的图标阵列比带有方块的图标阵列的回忆效果更好;2)生存曲线比死亡率曲线更容易识别最高生存率的点(对比结果);3)在关于个体概率的信息中添加平均总体概率可能不会影响回忆;4)条形图结合数据标签时的计算表现比单独使用数字或图形时更好;5)当分母匹配时,比率的计算表现更好;6)框架对风险选择有强烈影响(对比)。研究设计的异质性降低了得出强有力证据的能力。很少有针对点任务评估识别或回忆、对比、分类或计算结果的研究结果彼此之间具有足够的可比性以产生强有力的证据。

要点

许多研究人员研究了单一概率的数据呈现形式对不同结果的影响。然而,很少有研究结果具有足够的可比性,从而无法就其对识别、回忆、对比、分类和计算结果的影响得出基于有力证据的结论。

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