Zhao Xiyu, Yang Victor, Menta Arjun, Blum Jacob, Ranasinghe Padmini
School of Medicine, The Johns Hopkins University, Baltimore, MD, United States.
JMIR Infodemiology. 2025 Mar 20;5:e56116. doi: 10.2196/56116.
The advent of the internet has transformed the landscape of health information acquisition and sharing. Reddit has become a hub for such activities, such as the subreddit r/medical_advice, affecting patients' knowledge and decision-making. While the popularity of these platforms is recognized, research into the interactions and content within these communities remains sparse. Understanding the dynamics of these platforms is crucial for improving online health information quality.
This study aims to quantitatively analyze the subreddit r/medical_advice to characterize the medical questions posed and the demographics of individuals providing answers. Insights into the subreddit's user engagement, information-seeking behavior, and the quality of shared information will contribute to the existing body of literature on health information seeking in the digital era.
A cross-sectional study was conducted, examining all posts and top comments from r/medical_advice since its creation on October 1, 2011. Data were collected on March 2, 2023, from pushhift.io, and the analysis included post and author flairs, scores, and engagement metrics. Statistical analyses were performed using RStudio and GraphPad Prism 9.0.
From October 2011 to March 2023, a total of 201,680 posts and 721,882 comments were analyzed. After excluding autogenerated posts and comments, 194,678 posts and 528,383 comments remained for analysis. A total of 41% (77,529/194,678) of posts had no user flairs, while only 0.1% (108/194,678) of posts were made by verified medical professionals. The average engagement per post was a score of 2 (SD 7.03) and 3.32 (SD 4.89) comments. In period 2, urgent questions and those with level-10 pain reported higher engagement, with significant differences in scores and comments based on flair type (P<.001). Period 3 saw the highest engagement in posts related to pregnancy and the lowest in posts about bones, joints, or ligaments. Media inclusion significantly increased engagement, with video posts receiving the highest interaction (P<.001).
The study reveals a significant engagement with r/medical_advice, with user interactions influenced by the type of query and the inclusion of visual media. High engagement with posts about pregnancy and urgent medical queries reflects a focused public interest and the subreddit's role as a preliminary health information resource. The predominance of nonverified medical professionals providing information highlights a shift toward community-based knowledge exchange, though it raises questions about the reliability of the information. Future research should explore cross-platform behaviors and the impact of misinformation on public health. Effective moderation and the involvement of verified medical professionals are recommended to enhance the subreddit's role as a reliable health information resource.
互联网的出现改变了健康信息获取与共享的格局。Reddit已成为此类活动的中心,例如r/medical_advice子版块,影响着患者的知识和决策。虽然这些平台的受欢迎程度已得到认可,但对这些社区内的互动和内容的研究仍然稀少。了解这些平台的动态对于提高在线健康信息健康信息质量至关重要。
本研究旨在对r/medical_advice子版块进行定量分析,以描述所提出的医学问题以及提供答案的个人的人口统计学特征。深入了解该子版块的用户参与度、信息寻求行为以及共享信息的质量,将有助于丰富数字时代健康信息寻求方面的现有文献。
进行了一项横断面研究,检查了r/medical_advice自2011年10月1日创建以来的所有帖子和热门评论。2023年3月2日从pushhift.io收集数据,分析包括帖子和作者徽章、评分以及参与度指标。使用RStudio和GraphPad Prism 9.0进行统计分析。
从2011年10月到2023年3月,共分析了201,680个帖子和721,882条评论。排除自动生成的帖子和评论后,剩余194,678个帖子和528,383条评论用于分析。共有41%(77,529/194,678)的帖子没有用户徽章,而只有0.1%(108/194,678)的帖子是由经过认证的医学专业人员发布的。每个帖子的平均参与度评分为2分(标准差7.03),评论数为3.32条(标准差4.89)。在第二阶段,紧急问题和报告为10级疼痛的问题参与度更高,基于徽章类型的评分和评论存在显著差异(P<.00)。第三阶段,与怀孕相关的帖子参与度最高,而关于骨骼、关节或韧带的帖子参与度最低。包含媒体显著提高了参与度,视频帖子的互动最多(P<.001)。
该研究揭示了r/medical_advice子版块的显著参与度,用户互动受查询类型和视觉媒体包含情况的影响。对怀孕相关帖子和紧急医疗问题的高参与度反映了公众的关注重点以及该子版块作为初步健康信息资源的作用。提供信息的未经认证医学专业人员占主导地位,这凸显了向基于社区的知识交流的转变,尽管这引发了信息可靠性的问题。未来的研究应探索跨平台行为以及错误信息对公众健康的影响。建议进行有效的管理并让经过认证的医学专业人员参与,以增强该子版块作为可靠健康信息资源的作用。