与健康相关的概率沟通方法的证据:将Making Numbers有意义的系统评价与2021 IPDAS证据文件建议进行比较。

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Medical Decision Making Pub Date : 2025-10-01 Epub Date: 2025-07-07 DOI:10.1177/0272989X251346811
Brian J Zikmund-Fisher, Natalie C Benda, Jessica S Ancker
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引用次数: 0

摘要

目的总结我们最近对数据呈现格式对健康号码传达的影响进行的“使数字有意义”(MNM)系统综述的证据在多大程度上支持2021年国际患者决策辅助标准(IPDAS)合作论文中关于呈现概率的建议。MNM回顾产生了1119个不同的发现(来自316篇论文),这些发现与向患者或其他非专业观众传达概率有关,并根据其与观众任务的关系、刺激类型(数据和数据呈现格式)以及多达10组不同的结果对每个发现进行了分类:识别和/或回忆、对比、分类、计算、概率感知和/或感觉、有效性感知和/或感觉、行为意图或行为、信任、偏好和歧视。在这里,我们总结了与35篇IPDAS论文建议相关的研究结果。结果强有力的证据支持IPDAS的一些建议,包括使用部分到整体的图形格式(例如,图标数组)和避免口头概率术语、1-in-X格式和相对风险格式,以防止放大概率感知、有效性感知和/或行为意图,以及使用一致的分母来改善计算结果。然而,IPDAS的其他建议(例如,关于背景下的数字估计和评价标签的建议)的证据基础似乎较弱和不完整。IPDAS论文和MNM综述一致认为,不确定性的传播和交互式格式的使用都需要进一步研究。结论:没有一种视觉或数字格式对所有概率通信情况都是最佳的,这既是IPDAS小组的建议,也是MNM项目设计的基础。虽然没有MNM证据与IPDAS的建议相矛盾,但支持许多常见概率通信建议所需的证据基础仍然不完整。使数字有意义(MNM)系统回顾了关于传达健康号码的文献,为2021年国际患者决策辅助标准(IPDAS)关于在患者决策辅助中呈现概率的证据文件的建议提供了混合支持。IPDAS论文和MNM项目都认为,没有一种单一的视觉或数字格式对每种概率通信情况都是最佳的。MNM的审查为IPDAS的建议提供了强有力的证据支持,这些建议赞成使用部分到整体的图形格式(例如,图标数组)和一致的分母。MNM审查还支持IPDAS对口头概率术语和1-in-X格式的警告,以及对相对风险格式和框架的潜在偏倚影响的担忧。与IPDAS关于在背景下放置数值估计和使用评估标签的建议相关的MNM证据较弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evidence on Methods for Communicating Health-Related Probabilities: Comparing the Making Numbers Meaningful Systematic Review to the 2021 IPDAS Evidence Paper Recommendations.

PurposeTo summarize the degree to which evidence from our recent Making Numbers Meaningful (MNM) systematic review of the effects of data presentation format on communication of health numbers supports recommendations from the 2021 International Patient Decision Aids Standards (IPDAS) Collaboration papers on presenting probabilities.MethodsThe MNM review generated 1,119 distinct findings (derived from 316 papers) related to communication of probabilities to patients or other lay audiences, classifying each finding by its relation to audience task, type of stimulus (data and data presentation format), and up to 10 distinct sets of outcomes: identification and/or recall, contrast, categorization, computation, probability perceptions and/or feelings, effectiveness perceptions and/or feelings, behavioral intentions or behavior, trust, preference, and discrimination. Here, we summarize the findings related to each of the 35 IPDAS paper recommendations.ResultsStrong evidence exists to support several IPDAS recommendations, including those related to the use of part-to-whole graphical formats (e.g., icon arrays) and avoidance of verbal probability terms, 1-in-X formats, and relative risk formats to prevent amplification of probability perceptions, effectiveness perceptions, and/or behavioral intentions as well as the use of consistent denominators to improve computation outcomes. However, the evidence base appears weaker and less complete for other IPDAS recommendations (e.g., recommendations regarding numerical estimates in context and evaluative labels). The IPDAS papers and the MNM review agree that both communication of uncertainty and use of interactive formats need further research.ConclusionsThe idea that no one visual or numerical format is optimal for every probability communication situation is both an IPDAS panel recommendation and foundational to the MNM project's design. Although no MNM evidence contradicts IPDAS recommendations, the evidence base needed to support many common probability communication recommendations remains incomplete.HighlightsThe Making Numbers Meaningful (MNM) systematic review of the literature on communicating health numbers provides mixed support for the recommendations of the 2021 International Patient Decision Aids Standards (IPDAS) evidence papers on presenting probabilities in patient decision aids.Both the IPDAS papers and the MNM project agree that no single visual or numerical format is optimal for every probability communication situation.The MNM review provides strong evidentiary support for IPDAS recommendations in favor of using part-to-whole graphical formats (e.g., icon arrays) and consistent denominators.The MNM review also supports the IPDAS cautions against verbal probability terms and 1-in-X formats as well as its concerns about the potential biasing effects of relative risk formats and framing.MNM evidence is weaker related to IPDAS recommendations about placing numerical estimates in context and use of evaluative labels.

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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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