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.
© American Society of Regional Anesthesia & Pain Medicine 2020. No commercial re-use. See rights and permissions. Published by BMJ.