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Using Twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study
Background: Multiple sclerosis (MS) is a common complex disorder, with new treatment options emerging each year. Social media is being increasingly used to investigate opinions about drugs, diseases and procedures. In this descriptive exploratory study, we sought to investigate opinions about curren...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4264640/ https://www.ncbi.nlm.nih.gov/pubmed/25520780 http://dx.doi.org/10.12688/f1000research.5263.1 |
_version_ | 1782348771325116416 |
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author | Ramagopalan, Sreeram Wasiak, Radek Cox, Andrew P. |
author_facet | Ramagopalan, Sreeram Wasiak, Radek Cox, Andrew P. |
author_sort | Ramagopalan, Sreeram |
collection | PubMed |
description | Background: Multiple sclerosis (MS) is a common complex disorder, with new treatment options emerging each year. Social media is being increasingly used to investigate opinions about drugs, diseases and procedures. In this descriptive exploratory study, we sought to investigate opinions about currently available MS treatments. Methods: The Twitter resource Topsy was searched for tweets mentioning the following MS treatments: Aubagio, Avonex, Betaferon or Betaseron, Copaxone, Extavia, Gilenya, Lemtrada, Novantrone, Rebif, Tysabri and Tecfidera between 1 Jan 2006 to 31 Jul 2014. Tweets were normalised and sentiment analysis performed. Results: In total, there were 60037 unique tweets mentioning an MS treatment. About half of the tweets contained non-neutral sentiment. Mean sentiment scores were different for treatments ranging from -0.191to 0.282 when investigating all tweets. These differences in sentiment scores between treatments were statistically significant (P<0.001). Sentiment scores tended to be higher for oral MS treatments than injectable treatments. Conclusions: Many tweets about MS treatments have a non-neutral sentiment. The analysis of social media appears to be a potential avenue for exploring patient opinion about MS treatments. |
format | Online Article Text |
id | pubmed-4264640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-42646402014-12-16 Using Twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study Ramagopalan, Sreeram Wasiak, Radek Cox, Andrew P. F1000Res Research Note Background: Multiple sclerosis (MS) is a common complex disorder, with new treatment options emerging each year. Social media is being increasingly used to investigate opinions about drugs, diseases and procedures. In this descriptive exploratory study, we sought to investigate opinions about currently available MS treatments. Methods: The Twitter resource Topsy was searched for tweets mentioning the following MS treatments: Aubagio, Avonex, Betaferon or Betaseron, Copaxone, Extavia, Gilenya, Lemtrada, Novantrone, Rebif, Tysabri and Tecfidera between 1 Jan 2006 to 31 Jul 2014. Tweets were normalised and sentiment analysis performed. Results: In total, there were 60037 unique tweets mentioning an MS treatment. About half of the tweets contained non-neutral sentiment. Mean sentiment scores were different for treatments ranging from -0.191to 0.282 when investigating all tweets. These differences in sentiment scores between treatments were statistically significant (P<0.001). Sentiment scores tended to be higher for oral MS treatments than injectable treatments. Conclusions: Many tweets about MS treatments have a non-neutral sentiment. The analysis of social media appears to be a potential avenue for exploring patient opinion about MS treatments. F1000Research 2014-09-10 /pmc/articles/PMC4264640/ /pubmed/25520780 http://dx.doi.org/10.12688/f1000research.5263.1 Text en Copyright: © 2014 Ramagopalan S et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/publicdomain/zero/1.0/ Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication). |
spellingShingle | Research Note Ramagopalan, Sreeram Wasiak, Radek Cox, Andrew P. Using Twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study |
title | Using Twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study |
title_full | Using Twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study |
title_fullStr | Using Twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study |
title_full_unstemmed | Using Twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study |
title_short | Using Twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study |
title_sort | using twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4264640/ https://www.ncbi.nlm.nih.gov/pubmed/25520780 http://dx.doi.org/10.12688/f1000research.5263.1 |
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