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数据可视化的最佳实践:为循证防跌倒计划创建和评估报告。

Best practices for data visualization: creating and evaluating a report for an evidence-based fall prevention program.

机构信息

Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Research Computing, Partners Healthcare, Boston, Massachusetts, USA.

出版信息

J Am Med Inform Assoc. 2020 Feb 1;27(2):308-314. doi: 10.1093/jamia/ocz190.

DOI:10.1093/jamia/ocz190
PMID:31697326
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7647241/
Abstract

This case report applied principles from the data visualization (DV) literature and feedback from nurses to develop an effective report to display adherence with an evidence-based fall prevention program. We tested the usability of the original and revised reports using a Health Information Technology Usability Evaluation Scale (Health-ITUES) customized for this project. Items were rated on a 5-point Likert scale, strongly disagree (1) to strongly agree (5). The literature emphasized that the ideal display maximizes the information communicated, minimizes the cognitive efforts involved with interpretation, and selects the correct type of display (eg, bar versus line graph). Semi-structured nurse interviews emphasized the value of simplified reports and meaningful data. The mean (standard deviation [SD]) Health-ITUES score for the original report was 3.86 (0.19) and increased to 4.29 (0.11) in the revised report (Mann Whitney U Test, z = -12.25, P < 0.001). Lessons learned from this study can inform report development for clinicians in implementation science.

摘要

本病例报告应用了数据可视化(DV)文献中的原则,并结合护士的反馈,开发了一种有效的报告,以展示对基于证据的跌倒预防计划的依从性。我们使用针对该项目定制的健康信息技术可用性评估量表(Health-ITUES)测试了原始报告和修订报告的可用性。项目的评分采用 5 分制,从非常不同意(1)到非常同意(5)。文献强调,理想的显示方式应最大限度地传达信息,最小化解释所涉及的认知努力,并选择正确的显示类型(例如,条形图与线图)。半结构化的护士访谈强调了简化报告和有意义数据的价值。原始报告的 Health-ITUES 平均(标准差 [SD])评分为 3.86(0.19),修订报告的评分为 4.29(0.11)(Mann-Whitney U 检验,z=-12.25,P<0.001)。从这项研究中吸取的经验教训可以为实施科学中的临床医生报告的开发提供信息。

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本文引用的文献

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