A classification of errors in lay comprehension of medical documents.

A classification of errors in lay comprehension of medical documents.
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DOI:
10.1016/j.jbi.2012.07.012
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发表时间:
2012-12
影响因子:
4.5
通讯作者:
Smith, Catherine Arnott
Smith, Catherine Arnott
中科院分区:
医学3区
文献类型:
--
作者:
Keselman, Alla;Smith, Catherine Arnott

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强调参与式医疗要求患者和消费者参与传统上保留给医疗保健提供者的任务。这包括阅读和理解医疗文件,通常但不一定是在与个人健康记录(PHR)交互的背景下。研究表明,虽然让患者访问医疗文件有许多好处(例如,改善患者与提供者的沟通),外行人往往难以理解医疗信息。信息学可以通过开发支持理解的工具来解决这个问题;这需要深入了解外行人在理解临床文件时所犯错误的性质和原因。本研究的目的是开发一个分类方案的理解错误,根据外行个人的复述两个文件包含临床文本:临床试验的描述和一个典型的办公室访问笔记。虽然不全面,该方案可以作为进一步发展的分类患者的理解错误的基础。80名参与者,所有健康志愿者,阅读并复述两份医疗文件。一个数据驱动的内容分析程序被用来提取和分类复述错误。由此产生的分层分类方案包含9个类别和23个子类别。参与者最常见的错误是错误地回忆药物的品牌名称。其他常见的错误包括误解临床概念,误报临床研究的目的和医生在患者就诊期间的发现,以及混淆和拼写错误的临床术语。信息学支持与健康教育相结合可能会提高非专业人员对医学文献理解的准确性。
Emphasis on participatory medicine requires that patients and consumers participate in tasks traditionally reserved for healthcare providers. This includes reading and comprehending medical documents, often but not necessarily in the context of interacting with Personal Health Records (PHRs). Research suggests that while giving patients access to medical documents has many benefits (e.g., improved patient-provider communication), lay people often have difficulty understanding medical information. Informatics can address the problem by developing tools that support comprehension; this requires in-depth understanding of the nature and causes of errors that lay people make when comprehending clinical documents. The objective of this study was to develop a classification scheme of comprehension errors, based on lay individuals’ retellings of two documents containing clinical text: a description of a clinical trial and a typical office visit note. While not comprehensive, the scheme can serve as a foundation of further development of a taxonomy of patients’ comprehension errors. Eighty participants, all healthy volunteers, read and retold two medical documents. A data-driven content analysis procedure was used to extract and classify retelling errors. The resulting hierarchical classification scheme contains nine categories and twenty-three subcategories. The most common error made by the participants involved incorrectly recalling brand names of medications. Other common errors included misunderstanding clinical concepts, misreporting the objective of a clinical research study and physician’s findings during a patient’s visit, and confusing and misspelling clinical terms. A combination of informatics support and health education is likely to improve the accuracy of lay comprehension of medical documents.
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