评估应用描述的易读性及其在移动健康应用选择中的作用：回顾性和前瞻性分析。
Assessing the Readability of App Descriptions and Investigating its Role in the Choice of mHealth Apps: Retrospective and Prospective Analyses.
机构信息
Department of Biomedical Informatics, University of Cincinnati.
Department of Statistics, University of Kentucky.
出版信息
AMIA Annu Symp Proc. 2022 Feb 21;2021:1139-1148. eCollection 2021.
People with low health literacy are more likely to use mobile apps for health information. The choice of mHealth apps can affect health behaviors and outcomes. However, app descriptions may not be very readable to the target users, which can negatively impact app adoption and utilization. In this study, we assessed the readability of mHealth app descriptions and explored the relationship between description readability and other app metadata, as well as description writing styles. The results showed that app descriptions were at eleventh- to fifteenth-grade level, with only 6% of them meeting the readability recommendation (third- to seventh-grade level). The description readability played a vital role in predicting app installs when an app had no reviews. The content analysis showed copy-paste behaviors and identified two potential causes for low readability. More work is needed to improve the readability of app descriptions and optimize mHealth app adoption and utilization.
健康素养低的人更有可能使用移动应用程序获取健康信息。移动健康应用程序的选择可能会影响健康行为和结果。然而，应用程序的描述可能对目标用户来说不太容易理解，这可能会对应用程序的采用和使用产生负面影响。在这项研究中，我们评估了移动健康应用程序描述的可读性，并探讨了描述可读性与其他应用程序元数据以及描述写作风格之间的关系。结果表明，应用程序描述的可读性处于 11 到 15 年级水平，只有 6%的描述符合可读性建议（3 到 7 年级水平）。当应用程序没有评论时，描述的可读性在预测应用程序安装方面起着至关重要的作用。内容分析显示了复制粘贴行为，并确定了低可读性的两个潜在原因。需要进一步努力提高应用程序描述的可读性，以优化移动健康应用程序的采用和使用。
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