Literature DB >> 24304185

Analysis of patients' narratives posted on social media websites on benfluorex's (Mediator® ) withdrawal in France.

M Abou Taam1, C Rossard, L Cantaloube, N Bouscaren, G Roche, L Pochard, F Montastruc, A Herxheimer, J L Montastruc, H Bagheri.   

Abstract

WHAT IS KNOWN AND
OBJECTIVE: Websites and discussion lists on health issues are among the most popular resources on the Web. Use experience reported on social media websites may provide useful information on drugs and their adverse reactions (ADRs). Clear communication on the benefit/harm balance of drugs is important to inform proper use of drugs. Some data have shown that communication (advisories or warnings) is difficult. This study aimed to explore the Internet as a source of data on patients' perception of risk associated with benfluorex and the impact of wider media coverage.
METHODS: Three French websites were selected: Doctissimo, Atoute.org considered the best-known and visited website in France for health questions and Vivelesrondes (Long live the Tubbies) for overweight people. Three periods were chosen: (1) before November 2009 (i.e. before benfluorex withdrawal), (2) between November 2009 and November 2010 (when the risk of valvulopathy with benfluorex appeared in social media) and (3) after November 2010. RESULTS AND DISCUSSION: Two hundred twenty initial postings were analysed. These lead to 660 secondary postings which were analysed separately. In period 1, 114 initial postings were analysed, mostly concerning efficacy of the drug (72%). In period 2, 42 initial postings were analysed involving mainly ADRs or warnings (73%). In period 3, 64 initial postings were analysed; most frequent expressing anger directed at the healthcare system (58%) and anxiety about cardiovascular ADRs (30%). Online consumer postings showed that there were drastic changes in consumers' perceptions following media coverage. WHAT IS NEW AND
CONCLUSION: This study suggests that analysis of website data can inform on drug ADRs. Social media are important for communicating information on drug ADRs and for assessing consumer behaviour and their risk perception.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  Cybervigilance; adverse drug reactions; drug withdrawal

Mesh:

Substances:

Year:  2013        PMID: 24304185     DOI: 10.1111/jcpt.12103

Source DB:  PubMed          Journal:  J Clin Pharm Ther        ISSN: 0269-4727            Impact factor:   2.512


  14 in total

1.  Social Media Listening for Routine Post-Marketing Safety Surveillance.

Authors:  Gregory E Powell; Harry A Seifert; Tjark Reblin; Phil J Burstein; James Blowers; J Alan Menius; Jeffery L Painter; Michele Thomas; Carrie E Pierce; Harold W Rodriguez; John S Brownstein; Clark C Freifeld; Heidi G Bell; Nabarun Dasgupta
Journal:  Drug Saf       Date:  2016-05       Impact factor: 5.606

2.  Undesirable effects related to oral antineoplastic drugs: comparison between patients' internet narratives and a national pharmacovigilance database.

Authors:  Arnaud Pages; Emmanuelle Bondon-Guitton; Jean Louis Montastruc; Haleh Bagheri
Journal:  Drug Saf       Date:  2014-08       Impact factor: 5.606

3.  Symptom clusters in women with breast cancer: an analysis of data from social media and a research study.

Authors:  Sarah A Marshall; Christopher C Yang; Qing Ping; Mengnan Zhao; Nancy E Avis; Edward H Ip
Journal:  Qual Life Res       Date:  2015-10-17       Impact factor: 4.147

Review 4.  Systematic review on the prevalence, frequency and comparative value of adverse events data in social media.

Authors:  Su Golder; Gill Norman; Yoon K Loke
Journal:  Br J Clin Pharmacol       Date:  2015-09-16       Impact factor: 4.335

Review 5.  Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review.

Authors:  Jérémy Lardon; Redhouane Abdellaoui; Florelle Bellet; Hadyl Asfari; Julien Souvignet; Nathalie Texier; Marie-Christine Jaulent; Marie-Noëlle Beyens; Anita Burgun; Cédric Bousquet
Journal:  J Med Internet Res       Date:  2015-07-10       Impact factor: 5.428

6.  Assessment of Web-Based Consumer Reviews as a Resource for Drug Performance.

Authors:  Swarnaseetha Adusumalli; HueyTyng Lee; Qiangze Hoi; Si-Lin Koo; Iain Beehuat Tan; Pauline Crystal Ng
Journal:  J Med Internet Res       Date:  2015-08-28       Impact factor: 5.428

7.  Interactions between medical residents and drug companies: a national survey after the Mediator® affair.

Authors:  François Montastruc; Guillaume Moulis; Aurore Palmaro; Virginie Gardette; Geneviève Durrieu; Jean-Louis Montastruc
Journal:  PLoS One       Date:  2014-10-03       Impact factor: 3.240

8.  Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?

Authors:  Redhouane Abdellaoui; Stéphane Schück; Nathalie Texier; Anita Burgun
Journal:  JMIR Public Health Surveill       Date:  2017-06-22

Review 9.  Patient Participation and the Use of Ehealth Tools for Pharmacoviligance.

Authors:  Joëlle Berrewaerts; Laure Delbecque; Pierre Orban; Martin Desseilles
Journal:  Front Pharmacol       Date:  2016-04-11       Impact factor: 5.810

10.  Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach.

Authors:  Redhouane Abdellaoui; Pierre Foulquié; Nathalie Texier; Carole Faviez; Anita Burgun; Stéphane Schück
Journal:  J Med Internet Res       Date:  2018-03-14       Impact factor: 5.428

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