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dc.creatorÁlvarez-Mon, M.Á. (Miguel Ángel)-
dc.creatorLlavero-Valero, M. (María)-
dc.creatorSanchez-Bayona, R. (Rodrigo)-
dc.creatorPereira-Sánchez, V. (Víctor)-
dc.creatorVallejo-Valdivielso, M. (María)-
dc.creatorMonserrat, J. (Jorge)-
dc.creatorLahera, G. (G.)-
dc.creatorBarco, A.A. (Angel Asunsolo) del-
dc.creatorÁlvarez-Mon, M. (Melchor)-
dc.date.accessioned2022-06-01T12:13:35Z-
dc.date.available2022-06-01T12:13:35Z-
dc.date.issued2019-
dc.identifier.citationÁlvarez-Mon, M.Á. (Miguel Ángel); Llavero-Valero, M. (María); Sanchez-Bayona, R. (Rodrigo); et al. "Areas of interest and stigmatic attitudes of the general public in five relevant medical conditions: Thematic and quantitative analysis using twitter". Journal of Medical Internet Research. 21 (5), 2019, e14110es_ES
dc.identifier.issn1438-8871-
dc.identifier.urihttps://hdl.handle.net/10171/63593-
dc.description.abstractBackground: Twitter is an indicator of real-world performance, thus, is an appropriate arena to assess the social consideration and attitudes toward psychosis. Objective: The aim of this study was to perform a mixed-methods study of the content and key metrics of tweets referring to psychosis in comparison with tweets referring to control diseases (breast cancer, diabetes, Alzheimer, and human immunodeficiency virus). Methods: Each tweet’s content was rated as nonmedical (NM: testimonies, health care products, solidarity or awareness and misuse) or medical (M: included a reference to the illness’s diagnosis, treatment, prognosis, or prevention). NM tweets were classified as positive or pejorative. We assessed the appropriateness of the medical content. The number of retweets generated and the potential reach and impact of the hashtags analyzed was also investigated. Results: We analyzed a total of 15,443 tweets: 8055 classified as NM and 7287 as M. Psychosis-related tweets (PRT) had a significantly higher frequency of misuse 33.3% (212/636) vs 1.15% (853/7419; P<.001) and pejorative content 36.2% (231/636) vs 11.33% (840/7419; P<.001). The medical content of the PRT showed the highest scientific appropriateness 100% (391/391) vs 93.66% (6030/6439; P<.001) and had a higher frequency of content about disease prevention. The potential reach and impact of the tweets related to psychosis were low, but they had a high retweet-to-tweet ratio. Conclusions: We show a reduced number and a different pattern of contents in tweets about psychosis compared with control diseases. PRT showed a predominance of nonmedical content with increased frequencies of misuse and pejorative tone. However, the medical content of PRT showed high scientific appropriateness aimed toward prevention.es_ES
dc.description.sponsorshipThis work was partially supported by grants from the Fondo de Investigación de la Seguridad Social, Instituto de Salud Carlos III (PI18/01726), Spain, and the Programa de Actividades de I+D de la Comunidad de Madrid en Biomedicina (B2017/BMD-3804), Madrid, Spain.es_ES
dc.language.isoenges_ES
dc.publisherJMIR Publications Inc.es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectSocial stigmaes_ES
dc.subjectSocial mediaes_ES
dc.subjectPsychosises_ES
dc.subjectBreast canceres_ES
dc.subjectHIVes_ES
dc.subjectDementiaes_ES
dc.subjectPublic opiniones_ES
dc.subjectDiabeteses_ES
dc.titleAreas of interest and stigmatic attitudes of the general public in five relevant medical conditions: Thematic and quantitative analysis using twitteres_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.noteThis is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.es_ES
dc.identifier.doi10.2196/14110-
dadun.citation.number5es_ES
dadun.citation.publicationNameJournal of Medical Internet Researches_ES
dadun.citation.startingPagee14110es_ES
dadun.citation.volume21es_ES

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