TY -的盟Tougas米歇尔E AU -钱伯斯,克里斯汀·T非盟-威尔诺夫一分钱州,非盟-罗毕拉德朱莉·M AU - Gruzd Anatoliy AU -霍华德,维维安AU - Kampen,安德里亚盟——不过,Katelynn E盟——Hundert阿莫斯年代PY - 2018 DA - 2018/12/11 TI -社交媒体内容关于儿童的疼痛和睡眠:内容和网络分析乔- JMIR Pediatr父SP - e11193六世- 1 - 2 KW -儿童健康KW -知识翻译KW -疼痛KW -睡眠KW -社会媒体AB -背景:社交媒体通常用于健康传播，可以促进快速信息交换。尽管社交媒体的使用越来越多，但人们对儿童健康信息在社交媒体上的分享和参与知之甚少。目的:本研究的主要目标是系统地描述社交媒体上关于儿童疼痛和睡眠的帖子的内容，并确定这些帖子中的研究证据水平。第二个目标是研究用户对通过社交媒体分享的信息的参与度。方法:研究团队成员使用综合搜索策略在两周内搜索Twitter、Instagram和Facebook。使用代码对帖子的内容进行分类，以识别在社交媒体平台上分享的内容类别的频率。帖子由内容专家评估，以确定与现有研究证据一致的帖子频率。使用Netlytic(一个社交网络分析程序)分析用户粘性，以检查显示用户粘性水平的视觉网络。结果:在两周的时间里，发现了近1500个与疼痛有关的帖子和3800个与睡眠有关的帖子。 Twitter was used most often to share knowledge about child pain (639/1133, 56.40% of posts), and personal experiences for child sleep (2255/3008, 75.00% of posts). For both topics, Instagram posts shared personal experiences (53/68, 78% pain; 413/478, 86.4% sleep), Facebook group posts shared personal experiences (30/49, 61% pain; 230/345, 66.7% sleep) and Facebook pages shared knowledge (68/198, 34.3% pain; 452/1026, 44.05% sleep). Across platforms, research evidence was shared in 21.96% (318/1448) of pain- and 9.16% (445/4857) of sleep-related posts; 5.38% (61/1133) of all pain posts and 2.82% (85/3008) of all sleep posts shared information inconsistent with the evidence, while the rest were absent of evidence. User interactions were indirect, with mostly one-way, rather than reciprocal conversations. Conclusions: Social media is commonly used to discuss child health, yet the majority of posts do not contain research evidence, and user engagement is primarily one-way. These findings represent an opportunity to expand engagement through open conversations with credible sources. Research and health care communities can benefit from incorporating specific information about evidence within social media posts to improve communication with the public and empower users to distinguish evidence-based content better. Together, these findings have identified potential gaps in social media communication that may be informative targets to guide future strategies for improving the translation of child health evidence over social media. SN - 2561-6722 UR - http://pediatrics.www.mybigtv.com/2018/2/e11193/ UR - https://doi.org/10.2196/11193 UR - http://www.ncbi.nlm.nih.gov/pubmed/31518292 DO - 10.2196/11193 ID - info:doi/10.2196/11193 ER -