Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study. Issue 1 (9th January 2023)

• Record Type: Journal Article
• Authors: de Anta, L.; Alvarez-Mon, M. A.; Donat-Vargas, C.; Lara-Abelanda, F. J.; Pereira-Sanchez, V.; Gonzalez Rodriguez, C.; Mora, F.; Ortega, M. A.; Quintero, J.; Alvarez-Mon, M.
• Is Part Of: European psychiatry. Volume 66:Issue 1(2023)
• Publication Date: 2023-01-09
• Subjects: ECT -- electroconvulsive therapy -- public opinion -- social media -- Twitter; Psychiatry -- Periodicals; Mental illness -- Periodicals; Electronic journals; 616.89
• DOI: 10.1192/j.eurpsy.2022.2359
• Languages: English
• ISSNs: 0924-9338

Abstract

Abstract: Background: Electroconvulsive therapy (ECT) is an effective and safe medical procedure that mainly indicated for depression, but is also indicated for patients with other conditions. However, ECT is among the most stigmatized and controversial treatments in medicine. Our objective was to examine social media contents on Twitter related to ECT to identify and evaluate public views on the matter. Methods: We collected Twitter posts in English and Spanish mentioning ECT between January 1, 2019 and October 31, 2020. Identified tweets were subject to a mixed method quantitative–qualitative content and sentiment analysis combining manual and semi-supervised natural language processing machine-learning analyses. Such analyses identified the distribution of tweets, their public interest (retweets and likes per tweet), and sentiment for the observed different categories of Twitter users and contents. Results: "Healthcare providers" users produced more tweets (25%) than "people with lived experience" and their "relatives" (including family members and close friends or acquaintances) (10% combined), and were the main publishers of "medical" content (mostly related to ECT's main indications). However, more than half of the total tweets had "joke or trivializing" contents, and such had a higher like and retweet ratio. Among those tweets manifesting personal opinions on ECT, around 75% of them had a negative sentiment. Conclusions: Mixed method analysis of social media contents on Twitter offers a novel perspective to examine public opinion on ECT, and our results show attitudes more negative than those reflected in studies using surveys and other traditional methods.