Department of Emergency Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA.
Resuscitation. 2013 Feb;84(2):206-12. doi: 10.1016/j.resuscitation.2012.10.017. Epub 2012 Oct 27.
Twitter has over 500 million subscribers but little is known about how it is used to communicate health information. We sought to characterize how Twitter users seek and share information related to cardiac arrest, a time-sensitive cardiovascular condition where initial treatment often relies on public knowledge and response.
Tweets published April-May 2011 with keywords cardiac arrest, CPR, AED, resuscitation, heart arrest, sudden death and defib were identified. Tweets were characterized by content, dissemination, and temporal trends. Tweet authors were further characterized by: self-identified background, tweet volume, and followers.
Of 62,163 tweets (15,324, 25%) included resuscitation/cardiac arrest-specific information. These tweets referenced specific cardiac arrest events (1130, 7%), CPR performance or AED use (6896, 44%), resuscitation-related education, research, or news media (7449, 48%), or specific questions about cardiac arrest/resuscitation (270, 2%). Regarding dissemination (1980, 13%) of messages were retweeted. Resuscitation specific tweets primarily occurred on weekdays. Most users (10,282, 93%) contributed three or fewer tweets during the study time frame. Users with more than 15 resuscitation-specific tweets in the study time frame had a mean 1787 followers and most self-identified as having a healthcare affiliation.
Despite a large volume of tweets, Twitter can be filtered to identify public knowledge and information seeking and sharing about cardiac arrest. To better engage via social media, healthcare providers can distil tweets by user, content, temporal trends, and message dissemination. Further understanding of information shared by the public in this forum could suggest new approaches for improving resuscitation related education.
Twitter 拥有超过 5 亿用户，但目前对于用户如何利用该平台交流健康信息知之甚少。本研究旨在描述 Twitter 用户如何搜索和分享与心搏骤停相关的信息，心搏骤停是一种时间敏感性心血管疾病，其初始治疗通常依赖于公众的知识和反应。
2011 年 4 月至 5 月，我们通过关键词“cardiac arrest（心搏骤停）”、“CPR（心肺复苏术）”、“AED（自动体外除颤器）”、“resuscitation（复苏）”、“heart arrest（心脏骤停）”、“sudden death（猝死）”和“defib（除颤）”识别并采集了相关推文。推文内容包括心搏骤停相关的信息传播、时效性趋势、推文作者特征，包括自我认定背景、推文数量和粉丝数量等。
在 62163 条推文中（占 25%），有 15324 条（占 25%）提到了复苏/心搏骤停的具体信息。这些推文提到了特定的心搏骤停事件（1130 条，占 7%）、CPR 操作或 AED 使用（6896 条，占 44%）、复苏相关教育、研究或新闻媒体（7449 条，占 48%），或者具体的有关心搏骤停/复苏的问题（270 条，占 2%）。关于信息的传播（占 13%），有 1980 条推文被转发。与心搏骤停相关的推文主要在工作日发布。在研究期间，大多数用户（10282 人，占 93%）仅发布了 3 条或更少的推文。在研究期间发布超过 15 条与心搏骤停相关推文的用户平均拥有 1787 名粉丝，并且大多数人自我认定与医疗保健机构有关联。
尽管 Twitter 上有大量的推文，但可以通过过滤来识别公众对心搏骤停的知识和信息的搜索、寻求和分享。为了更好地通过社交媒体进行互动，医疗保健提供者可以根据用户、内容、时间趋势和消息传播来筛选推文。进一步了解公众在该论坛上分享的信息，可能会为改善与复苏相关的教育提供新的方法。
