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Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study
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 soc...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970148/ https://www.ncbi.nlm.nih.gov/pubmed/36620994 http://dx.doi.org/10.1192/j.eurpsy.2022.2359 |
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author | 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. |
author_facet | 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. |
author_sort | de Anta, L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9970148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99701482023-02-28 Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study 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. Eur Psychiatry Research Article 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. Cambridge University Press 2023-01-09 /pmc/articles/PMC9970148/ /pubmed/36620994 http://dx.doi.org/10.1192/j.eurpsy.2022.2359 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Research Article 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. Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study |
title | Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study |
title_full | Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study |
title_fullStr | Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study |
title_full_unstemmed | Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study |
title_short | Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study |
title_sort | assessment of beliefs and attitudes about electroconvulsive therapy posted on twitter: an observational study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970148/ https://www.ncbi.nlm.nih.gov/pubmed/36620994 http://dx.doi.org/10.1192/j.eurpsy.2022.2359 |
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