Meldrum Sarah, Savarimuthu Bastin Tr, Licorish Sherlock, Tahir Amjed, Bosu Michael, Jayakaran Prasath
Department of Information Science, University of Otago, New Zealand.
School of Engineering and Advanced Technology, Massey University, New Zealand.
Digit Health. 2017 Mar 29;3:2055207617698908. doi: 10.1177/2055207617698908. eCollection 2017 Jan-Dec.
There is little research that characterises knee pain related information disseminated via social media. However, variances in the content and quality of such sources could compromise optimal patient care. This study explored the nature of the comments on YouTube videos related to non-specific knee pain, to determine their helpfulness to the users.
A systematic search identified 900 videos related to knee pain on the YouTube database. A total of 3537 comments from 58 videos were included in the study. A categorisation scheme was developed and 1000 randomly selected comments were analysed according to this scheme.
The most common category was the users providing personal information or describing a personal situation (19%), followed by appreciation or acknowledgement of others' inputs (17%) and asking questions (15%). Of the questions, 33% were related to seeking help in relation to a specific situation. Over 10% of the comments contained negativity or disagreement; while 4.4% of comments reported they intended to pursue an action, based on the information presented in the video and/or from user comments.
It was observed that individuals commenting on YouTube videos on knee pain were most often soliciting advice and information specific to their condition. The analysis of comments from the most commented videos using a keyword-based search approach suggests that the YouTube videos can be used for disseminating general advice on knee pain.
很少有研究对通过社交媒体传播的与膝关节疼痛相关的信息进行特征描述。然而,此类信息来源在内容和质量上的差异可能会影响最佳的患者护理。本研究探讨了YouTube上与非特异性膝关节疼痛相关视频的评论性质,以确定这些评论对用户的帮助程度。
通过系统搜索在YouTube数据库中识别出900个与膝关节疼痛相关的视频。本研究纳入了来自58个视频的共3537条评论。制定了一个分类方案,并根据该方案对随机选择的1000条评论进行了分析。
最常见的类别是用户提供个人信息或描述个人情况(19%),其次是对他人意见的赞赏或认可(17%)以及提问(15%)。在这些问题中,33%与针对特定情况寻求帮助有关。超过10%的评论包含负面或不同意见;而4.4%的评论表示,他们打算根据视频中呈现的信息和/或用户评论采取行动。
据观察,在YouTube上对膝关节疼痛相关视频发表评论的个人最常寻求针对其病情的建议和信息。使用基于关键词的搜索方法对评论最多的视频的评论进行分析表明,YouTube视频可用于传播有关膝关节疼痛的一般建议。