Department of Anaesthesiology, Intensive Care and Pain Medicine, Saint James's Hospital, Dublin, Ireland
Department of Anaesthesiology, Intensive Care and Pain Medicine, Saint James's Hospital, Dublin, Ireland.
Reg Anesth Pain Med. 2020 Aug;45(8):597-602. doi: 10.1136/rapm-2020-101547. Epub 2020 Jun 4.
Studies involving Twitter and chronic pain can provide highly valuable patient-generated information. The aim of this paper was to examine pain-related tweets in Ireland over a 2-week period from 22 June 2017 to 5 July 2017 using pain-related keywords. We wished to identify Twitter user gender profile; most common discussion topics; sentiment analysis; and dissemination of tweets.
A third-party data analytics company conducted a Twitter social media analysis over a randomly chosen 14-day period between the dates 22 June and 5 July 2017. All relevant keywords were included in the search. Author group consensus yielded 24 terms. Geographical location was restricted to Ireland. A computational sentiment dictionary was used to provide a rating of the emotional properties of the text on a 9-point scale from -5 to +4 of negative to positive sentiment. Dissemination was calculated by the number of times the tweet was displayed ('impressions').
There were 941 tweets identified during the study from 715 contributors. These generated 2.88 million impressions. The most frequently occurring keywords were headache (n=321); migraine (n=147); back pain (n=123); cannabis (n=114); and chronic pain (n=85). There were 1.94 times as many tweets from females as males. The highest proportion of tweets from female users was in the fibromyalgia (83%) and migraine (60%) categories; and from males in the sciatica (35%), chronic pain (34%) and back pain (32%) categories. Cannabis-related tweets reflected mostly non-personal content (90%), with a highly positive sentiment, and the highest number of impressions per tweet. The largest amount of advice was offered in the back pain category. Reposting of other users' content ('retweets') was more likely to contain a positive sentiment.
A substantial discussion of pain-related topics took place on Twitter during our study period. This provided real-time, dynamic information from individuals on discussion topics in pain medicine. This can be used to gain a greater understanding of the pain experience. As patients are increasingly acquiring healthcare information through online sources, high-quality information from approved sources should be promoted on such platforms.
涉及 Twitter 和慢性疼痛的研究可以提供非常有价值的患者生成信息。本文的目的是使用与疼痛相关的关键字,检查 2017 年 6 月 22 日至 7 月 5 日期间在爱尔兰的两周内与疼痛相关的推文。我们希望确定 Twitter 用户的性别特征;最常见的讨论主题;情感分析;以及推文的传播。
一家第三方数据分析公司在 2017 年 6 月 22 日至 7 月 5 日期间进行了为期 14 天的 Twitter 社交媒体分析。所有相关关键字都包含在搜索中。作者小组的共识产生了 24 个术语。地理位置限于爱尔兰。使用计算情感词典对文本的情感属性进行评分,范围从-5 到+4,分别表示负面和正面情绪。传播通过推文显示的次数(“印象”)来计算。
研究期间从 715 位贡献者中确定了 941 条推文,共产生了 288 万次“印象”。出现频率最高的关键字是头痛(n=321);偏头痛(n=147);背痛(n=123);大麻(n=114);和慢性疼痛(n=85)。女性的推文数量是男性的 1.94 倍。女性用户比例最高的类别是纤维肌痛(83%)和偏头痛(60%);而男性用户比例最高的类别是坐骨神经痛(35%)、慢性疼痛(34%)和背痛(32%)。与大麻相关的推文主要反映了非个人内容(90%),具有高度积极的情绪,并且每条推文的“印象”数量最多。在背痛类别中提供了最多的建议。其他用户内容的转发(“转发”)更有可能包含积极的情绪。
在我们的研究期间,Twitter 上进行了大量与疼痛相关主题的讨论。这从个人角度实时、动态地提供了疼痛医学领域的信息。这可以帮助我们更好地了解疼痛体验。随着患者越来越多地通过在线资源获取医疗保健信息,应在这些平台上推广来自认可来源的高质量信息。