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Beyond Surface Characteristics: A New Health Text-Specific Readability Measurement

机译:超越表面特性:一种针对特定健康文本的新可读性测量

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摘要

Accurate readability assessment of health related materials is a critical first step in producing easily understandable consumer health information resources and personal health records. Existing general readability formulas may not always be appropriate for the medical/consumer health domain. We developed a new health-specific readability pilot measure, based on the differences in semantic and syntactic features as well as text unit length. The tool was tested with 4 types of materials: consumer health texts, electronic health records, health news articles, and scientific biomedical journals. The results were compared with those produced by three commonly used general readability formulas. While the general formulas underestimated the difficulty of health records by placing them at the same grade levels as consumer health texts, our method rated health records as the most difficult type of documents. Our ratings, however, were highly correlated with general formulas ratings of consumer health, news, and journal articles (r=0.81~0.85, p<.0001).
机译:对健康相关材料进行准确的可读性评估是产生易于理解的消费者健康信息资源和个人健康记录的关键的第一步。现有的通用可读性公式可能并不总是适用于医疗/消费者健康领域。我们根据语义和句法功能以及文本单位长度的差异,开发了一种针对特定健康的可读性试验措施。该工具已用4种类型的材料进行了测试:消费者健康文本,电子健康记录,健康新闻文章和科学生物医学期刊。将结果与三个常用通用可读性公式产生的结果进行了比较。尽管通用公式将健康记录的难度与消费者健康记录的等级保持在一起,从而低估了健康记录的难度,但我们的方法将健康记录视为最困难的文件类型。但是,我们的评级与消费者健康,新闻和期刊文章的通用公式评级高度相关(r = 0.81〜0.85,p <.0001)。

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