A Social Media Campaign (#datasaveslives) to Promote the Benefits of Using Health Data for Research Purposes: Mixed Methods Analysis.
A Social Media Campaign (#datasaveslives) to Promote the Benefits of Using Health Data for Research Purposes: Mixed Methods Analysis.
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DOI：
10.2196/16348
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发表时间：
2021-02-16
影响因子：
7.4
通讯作者：
Tully MP
中科院分区：
文献类型：
--
作者：
Hassan L;Nenadic G;Tully MP
社交媒体提供了吸引包括公众在内的广泛受众参与科学研究的潜力。然而，很少有实证研究来指导卫生科学家关于什么有效以及如何优化影响。我们审查了2014年发起的#数据拯救生命#社交媒体活动，以突出在研究中使用和重复使用卫生数据的积极例子。本研究旨在研究#datasaveslives标签在社交媒体上的使用情况、使用频率和使用对象；因此，我们的目标是为英国健康信息学研究界和更远的地方的主要社会媒体活动的影响提供见解。我们分析了2016年9月1日至2017年8月31日期间微博平台Twitter上所有包含#datasaveslives （N=13,895）标签的公开帖子（推文）。通过结合定性和定量分析，我们确定了推文的频率和目的。社交网络分析用于分析和可视化标签用户之间的tweet分享（转发）网络。总的来说，我们发现有3649名Twitter用户发布了4175篇原创帖子和9720条转发，这些帖子都以#datasaveslives为主题。总共有66.01%（2756/4175）的原创帖子被转发了至少一次。在重要的政策出版物、流行会议和公众参与活动的几周内，推特的频率更高。基于转发关系的聚类分析揭示了学术界、卫生服务和政策、慈善机构和患者网络中#datasaveslives用户的一系列相互关联的群体。对推文的专题分析表明，#datasaveslives的用途比索引信息更广泛，包括事件报告、鼓励参与和行动，以及对数据共享表示个人支持。这项研究表明，以标签为基础的社交媒体活动在鼓励广大利益相关者传播健康研究的积极例子方面是有效的。此外，调查结果表明，该运动支持与卫生数据科学领域相关的跨学科部门内部和部门之间的社区建设和衔接做法，并鼓励个人对共享卫生数据表示个人支持。
Social media provides the potential to engage a wide audience about scientific research, including the public. However, little empirical research exists to guide health scientists regarding what works and how to optimize impact. We examined the social media campaign #datasaveslives established in 2014 to highlight positive examples of the use and reuse of health data in research. This study aims to examine how the #datasaveslives hashtag was used on social media, how often, and by whom; thus, we aim to provide insights into the impact of a major social media campaign in the UK health informatics research community and further afield. We analyzed all publicly available posts (tweets) that included the hashtag #datasaveslives (N=13,895) on the microblogging platform Twitter between September 1, 2016, and August 31, 2017. Using a combination of qualitative and quantitative analyses, we determined the frequency and purpose of tweets. Social network analysis was used to analyze and visualize tweet sharing (retweet) networks among hashtag users. Overall, we found 4175 original posts and 9720 retweets featuring #datasaveslives by 3649 unique Twitter users. In total, 66.01% (2756/4175) of the original posts were retweeted at least once. Higher frequencies of tweets were observed during the weeks of prominent policy publications, popular conferences, and public engagement events. Cluster analysis based on retweet relationships revealed an interconnected series of groups of #datasaveslives users in academia, health services and policy, and charities and patient networks. Thematic analysis of tweets showed that #datasaveslives was used for a broader range of purposes than indexing information, including event reporting, encouraging participation and action, and showing personal support for data sharing. This study shows that a hashtag-based social media campaign was effective in encouraging a wide audience of stakeholders to disseminate positive examples of health research. Furthermore, the findings suggest that the campaign supported community building and bridging practices within and between the interdisciplinary sectors related to the field of health data science and encouraged individuals to demonstrate personal support for sharing health data.
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