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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.
Afiliação
  • Alvarez-Mon MA; Service of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, 28031 Madrid, Spain.
  • de Anta L; Department of Medicine and Medical Specialities, University of Alcala, 28805 Alcala de Henares, Spain.
  • Llavero-Valero M; Service of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, 28031 Madrid, Spain.
  • Lahera G; Department of Endocrinology and Clinical Nutrition, Hospital Universitario Infanta Leonor, 28031 Madrid, Spain.
  • Ortega MA; Department of Medicine and Medical Specialities, University of Alcala, 28805 Alcala de Henares, Spain.
  • Soutullo C; Department of Psychiatry, University Hospital "Principe de Asturias", 28805 Alcala de Henares, Spain.
  • Quintero J; CIBERSAM (Biomedical Research Networking Centre in Mental Health), 22807 Madrid, Spain.
  • Asunsolo Del Barco A; Department of Medicine and Medical Specialities, University of Alcala, 28805 Alcala de Henares, Spain.
  • Alvarez-Mon M; Institute Ramon y Cajal for Health Research (IRYCIS), 28034 Madrid, Spain.
J Clin Med ; 10(12)2021 Jun 17.
Article em En | MEDLINE | ID: mdl-34204353
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Clin Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Clin Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Espanha