收稿日期: 2021-04-13
网络出版日期: 2022-01-19
基金资助
全国人文社会科学课题(18BJR01023)
Development of the readability evaluation index system for online health information
Received date: 2021-04-13
Online published: 2022-01-19
目的 构建网络健康信息可读性评价指标体系,为评价我国网络健康信息可读性提供工具。方法 在文献研究的基础上初步构建网络健康信息可读性评价指标体系,选取卫生行政部门、高等院校、科研机构的20名专家应用德尔菲法进行3轮函询,并通过层次分析法确定指标权重。 结果 3轮函询问卷回收率分别为100%(20/20)、90%(18/20)和89%(16/18),专家权威系数分别为0.860、0.855、0.872;第3轮一、二级指标的专家协调系数分别为0.359、0.231(均P<0.001)。最终构建的网络健康信息可读性评价指标体系包括文字表达、数值应用、内容设计、可操作性、组织布局、排版设计、视觉辅助7个一级指标和33个二级指标。结论 网络健康信息可读性评价指标体系具有较好的科学性与可靠性,可为健康教育从业人员评价网络健康信息可读性、选择和设计可读性好的网络健康信息提供科学参考。
王蕾 , 李星 , 汪秋伊 , 谢伦芳 , 杨文娟 . 网络健康信息可读性评价指标体系的构建[J]. 中华护理教育, 2022 , 19(1) : 14 -20 . DOI: 10.376 1/j.issn.1672 9234.2022.01.002
Objective To construct a readability evaluation index system for online health information. Methods Based on the literature,we initially constructed an evaluation index system for the readability of online health information. The Delphi technique was used to conduct three rounds of consultation with 20 experts from the health administration,universities,scientific research institutions. The index weight was determined by the analytic hierarchy process. Results The effective response rates of three rounds of Delphi consultation were 100%(20/20)、90%(18/20) and 89%(16/18),and the experts’ authority coefficients were 0.860,0.855,0.872,respectively. The coordination coefficients of the first-level and second-level indexes in the third round were 0.359 and 0.231(P<0.001 for all). The final readability evaluation index system for online health information included 7 first-level indexes which included literal expression,numerical application,content design,actionability,organizational and layout,typographic design,visual aids,and 33 second-level indexes. Conclusion The readability evaluation index system for online health information constructed in the study is scientific and reliable,which provides scientific reference for health education practitioners to evaluate the readability of online health information and to select and design highly readable online health information.
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