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Factors Influencing User Engagement of Health Information Disseminated by Chinese Provincial Centers for Disease Control and Prevention on WeChat: Observational Study

机译:中国省疾病预防控制中心在微信上传播影响用户健康信息的因素:观察性研究

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Background Social media is currently becoming a new channel for information acquisition and exchange. In China, with the growing popularity of WeChat and WeChat official accounts (WOAs), health promotion agencies have an opportunity to use them for successful information distribution and diffusion online. Objective We aimed to identify features of articles pushed by WOAs of Chinese provincial Centers for Disease Control and Prevention (CDC) that are associated with user engagement. Methods We searched and subscribed to 28 WOAs of provincial CDCs. Data for this study consisted of WeChat articles on these WOAs between January 1, 2017 and December 31, 2017. We developed a features frame containing title type, article content, article type, communication skills, number of marketing elements, and article length for each article and coded the data quantitatively using a coding scheme that assigned numeric values to article features. We examined the descriptive characteristics of articles for every WOA and generated descriptive statistics for six article features. The amount of reading and liking was converted into the level of reading and liking by the 75% position. Two-category univariate logistic regression and multivariable logistic regression were conducted to explore associations between the features of the articles and user engagement, operationalized as reading level and liking level. Results All provincial CDC WOAs provided a total of 5976 articles in 2017. Shanghai CDC articles attracted the most user engagement, and Ningxia CDC articles attracted the least. For all articles, the median reading was 551.5 and the median liking was 10. Multivariable logistic regression analysis revealed that article content, article type, communication skills, number of marketing elements, and article length were associated with reading level and liking level. However, title type was only associated with liking level. Conclusions How social media can be used to best achieve health information dissemination and public health outcomes is a topic of much discussion and study in the public health community. Given the lack of related studies based on WeChat or official accounts, we conducted this study and found that article content, article type, communication skills, number of marketing elements, article length, and title type were associated with user engagement. Our study may provide public health and community leaders with insight into the diffusion of important health topics of concern.
机译:背景技术社交媒体当前正在成为信息获取和交流的新渠道。在中国,随着微信和微信公众号(WOA)的日益普及,健康促进机构有机会将其用于成功的在线信息分发和传播。目的我们旨在确定由中国省疾病预防控制中心(CDC)的WOA推动的与用户参与相关的文章的特征。方法我们搜索并订阅了省级疾病预防控制中心的28种WOA。这项研究的数据由2017年1月1日至2017年12月31日期间有关这些WOA的微信文章组成。我们开发了一个功能框架,其中包含每个文章的标题类型,文章内容,文章类型,沟通技巧,营销元素数量和文章长度文章,并使用将数字值分配给文章功能的编码方案对数据进行定量编码。我们检查了每种WOA的文章描述性特征,并为六个文章特征生成了描述性统计数据。阅读和喜欢的程度由75%的位置转换为阅读和喜欢的水平。进行了两类单变量logistic回归和多变量logistic回归,以探讨文章的特征与用户参与度之间的关联,可将其作为阅读水平和喜欢水平进行操作。结果2017年,所有省级疾控中心WOA总共提供了5976条文章。上海疾控中心的文章吸引了最大的用户参与度,宁夏疾控中心的文章吸引了最少的用户参与。对于所有文章,阅读中位数为551.5,喜好中位数为10。多变量logistic回归分析显示,文章内容,文章类型,沟通技巧,营销要素数量和文章长度与阅读水平和喜好程度相关。但是,标题类型仅与喜好程度相关。结论如何利用社交媒体最好地实现健康信息的传播和公共卫生成果是公共卫生界广泛讨论和研究的主题。由于缺乏基于微信或官方账户的相关研究,我们进行了这项研究,发现文章的内容,文章的类型,沟通技巧,营销要素的数量,文章的长度和标题的类型与用户参与度相关。我们的研究可以为公共卫生和社区领导者提供有关重要健康话题传播的见解。

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