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Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter

We focused on tweets containing hashtags related to ADHD pharmacotherapy between 20 September and 31 October 2019. Tweets were classified as to whether they described medical issues or not. Tweets with medical content were classified according to the topic they referred to: side effects, efficacy, o...

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Autores principales: Alvarez-Mon, Miguel Angel, de Anta, Laura, Llavero-Valero, Maria, Lahera, Guillermo, Ortega, Miguel A., Soutullo, Cesar, Quintero, Javier, Asunsolo del Barco, Angel, Alvarez-Mon, Melchor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235344/
https://www.ncbi.nlm.nih.gov/pubmed/34204353
http://dx.doi.org/10.3390/jcm10122668
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author Alvarez-Mon, Miguel Angel
de Anta, Laura
Llavero-Valero, Maria
Lahera, Guillermo
Ortega, Miguel A.
Soutullo, Cesar
Quintero, Javier
Asunsolo del Barco, Angel
Alvarez-Mon, Melchor
author_facet Alvarez-Mon, Miguel Angel
de Anta, Laura
Llavero-Valero, Maria
Lahera, Guillermo
Ortega, Miguel A.
Soutullo, Cesar
Quintero, Javier
Asunsolo del Barco, Angel
Alvarez-Mon, Melchor
author_sort Alvarez-Mon, Miguel Angel
collection PubMed
description We focused on tweets containing hashtags related to ADHD pharmacotherapy between 20 September and 31 October 2019. Tweets were classified as to whether they described medical issues or not. Tweets with medical content were classified according to the topic they referred to: side effects, efficacy, or adherence. Furthermore, we classified any links included within a tweet as either scientific or non-scientific. We created a dataset of 6568 tweets: 4949 (75.4%) related to stimulants, 605 (9.2%) to non-stimulants and 1014 (15.4%) to alpha-2 agonists. Next, we manually analyzed 1810 tweets. In the end, 481 (48%) of the tweets in the stimulant group, 218 (71.9%) in the non-stimulant group and 162 (31.9%) in the alpha agonist group were considered classifiable. Stimulants accumulated the majority of tweets. Notably, the content that generated the highest frequency of tweets was that related to treatment efficacy, with alpha-2 agonist-related tweets accumulating the highest proportion of positive consideration. We found the highest percentages of tweets with scientific links in those posts related to alpha-2 agonists. Stimulant-related tweets obtained the highest proportion of likes and were the most disseminated within the Twitter community. Understanding the public view of these medications is necessary to design promotional strategies aimed at the appropriate population.
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spelling pubmed-82353442021-06-27 Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter Alvarez-Mon, Miguel Angel de Anta, Laura Llavero-Valero, Maria Lahera, Guillermo Ortega, Miguel A. Soutullo, Cesar Quintero, Javier Asunsolo del Barco, Angel Alvarez-Mon, Melchor J Clin Med Article We focused on tweets containing hashtags related to ADHD pharmacotherapy between 20 September and 31 October 2019. Tweets were classified as to whether they described medical issues or not. Tweets with medical content were classified according to the topic they referred to: side effects, efficacy, or adherence. Furthermore, we classified any links included within a tweet as either scientific or non-scientific. We created a dataset of 6568 tweets: 4949 (75.4%) related to stimulants, 605 (9.2%) to non-stimulants and 1014 (15.4%) to alpha-2 agonists. Next, we manually analyzed 1810 tweets. In the end, 481 (48%) of the tweets in the stimulant group, 218 (71.9%) in the non-stimulant group and 162 (31.9%) in the alpha agonist group were considered classifiable. Stimulants accumulated the majority of tweets. Notably, the content that generated the highest frequency of tweets was that related to treatment efficacy, with alpha-2 agonist-related tweets accumulating the highest proportion of positive consideration. We found the highest percentages of tweets with scientific links in those posts related to alpha-2 agonists. Stimulant-related tweets obtained the highest proportion of likes and were the most disseminated within the Twitter community. Understanding the public view of these medications is necessary to design promotional strategies aimed at the appropriate population. MDPI 2021-06-17 /pmc/articles/PMC8235344/ /pubmed/34204353 http://dx.doi.org/10.3390/jcm10122668 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alvarez-Mon, Miguel Angel
de Anta, Laura
Llavero-Valero, Maria
Lahera, Guillermo
Ortega, Miguel A.
Soutullo, Cesar
Quintero, Javier
Asunsolo del Barco, Angel
Alvarez-Mon, Melchor
Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter
title Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter
title_full Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter
title_fullStr Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter
title_full_unstemmed Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter
title_short Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter
title_sort areas of interest and attitudes towards the pharmacological treatment of attention deficit hyperactivity disorder: thematic and quantitative analysis using twitter
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235344/
https://www.ncbi.nlm.nih.gov/pubmed/34204353
http://dx.doi.org/10.3390/jcm10122668
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