Evaluating Social Media Networks in Medicines Safety Surveillance: Two Case Studies

IntroductionThere is growing interest in whether social media can capture patient-generated information relevant for medicines safety surveillance that cannot be found in traditional sources.ObjectiveThe aim of this study was to evaluate the potential contribution of mining social media networks for medicines safety surveillance using the following associations as case studies: (1) rosiglitazone and cardiovascular events (i.e. stroke and myocardial infarction); and (2) human papilloma virus (HPV) vaccine and infertility.MethodsWe collected publicly accessible, English-language posts on Facebook, Google+, and Twitter until September 2014. Data were queried for co-occurrence of keywords related to the drug/vaccine and event of interest within a post. Messages were analysed with respect to geographical distribution, context, linking to other web content, and author’s assertion regarding the supposed association.ResultsA total of 2537 posts related to rosiglitazone/cardiovascular events and 2236 posts related to HPV vaccine/infertility were retrieved, with the majority of posts representing data from Twitter (98 and 85 %, respectively) and originating from users in the US. Approximately 21 % of rosiglitazone-related posts and 84 % of HPV vaccine-related posts referenced other web pages, mostly news items, law firms’ websites, or blogs. Assertion analysis predominantly showed affirmation of the association of rosiglitazone/cardiovascular events (72 %; n = 1821) and of HPV vaccine/infertility (79 %; n = 1758). Only ten posts described personal accounts of rosiglitazone/cardiovascular adverse event experiences, and nine posts described HPV vaccine problems related to infertility.ConclusionsPublicly available data from the considered social media networks were sparse and largely untrackable for the purpose of providing early clues of safety concerns regarding the prespecified case studies. Further research investigating other case studies and exploring other social media platforms are necessary to further characterise the usefulness of social media for safety surveillance.

[1]  S. J. Sullivan,et al.  ‘What's happening?’ A content analysis of concussion-related traffic on Twitter , 2011, British Journal of Sports Medicine.

[2]  S. Janković,et al.  Using Facebook to Increase Spontaneous Reporting of Adverse Drug Reactions , 2011, Drug safety.

[3]  Y. Shoenfeld,et al.  Human Papilloma Virus Vaccine and Primary Ovarian Failure: Another Facet of the Autoimmune/Inflammatory Syndrome Induced by Adjuvants , 2013, American journal of reproductive immunology.

[4]  The other Twitter revolution: how social media are helping to monitor the NHS reforms , 2011, BMJ : British Medical Journal.

[5]  Nicholas Genes,et al.  Leveraging Social Networks for Toxicovigilance , 2013, Journal of Medical Toxicology.

[6]  Robin E. Ferner,et al.  Internet Accounts of Serious Adverse Drug Reactions , 2012, Drug Safety.

[7]  W. Chou,et al.  Social Media Use in the United States: Implications for Health Communication , 2009, Journal of medical Internet research.

[8]  Samantha A Adams,et al.  Sourcing the crowd for health services improvement: The reflexive patient and "share-your-experience" websites. , 2011, Social science & medicine.

[9]  D. Little,et al.  Premature ovarian failure 3 years after menarche in a 16-year-old girl following human papillomavirus vaccination , 2012, BMJ Case Reports.

[10]  Programmierbarer Thermoblock,et al.  From industry , 1991 .

[11]  Robert Bigelow,et al.  Results of a reevaluation of cardiovascular outcomes in the RECORD trial. , 2013, American heart journal.

[12]  D. Lazer,et al.  The Parable of Google Flu: Traps in Big Data Analysis , 2014, Science.

[13]  S. Goldman,et al.  Limitations and strengths of spontaneous reports data. , 1998, Clinical therapeutics.

[14]  Richard B. Berlin,et al.  Predicting adverse drug events from personal health messages. , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[15]  S. Nissen,et al.  An Updated Meta-analysis of Risk for Myocardial Infarction and Cardiovascular Mortality , 2010 .

[16]  S. Garland,et al.  Safety of human papillomavirus (HPV) vaccines: a review of the international experience so far. , 2009, Vaccine.

[17]  Adolfo Figueiras,et al.  Strategies to Improve Adverse Drug Reaction Reporting: A Critical and Systematic Review , 2013, Drug Safety.

[18]  Nicola P Klein,et al.  Safety of quadrivalent human papillomavirus vaccine administered routinely to females. , 2012, Archives of pediatrics & adolescent medicine.

[19]  W. Shrank,et al.  Online Social Networking by Patients with Diabetes: A Qualitative Evaluation of Communication with Facebook , 2011, Journal of General Internal Medicine.

[20]  Declan Butler,et al.  When Google got flu wrong , 2013, Nature.

[21]  Rita Ouellet-Hellstrom,et al.  Risk of acute myocardial infarction, stroke, heart failure, and death in elderly Medicare patients treated with rosiglitazone or pioglitazone. , 2010, JAMA.

[22]  Graciela Gonzalez-Hernandez,et al.  Utilizing social media data for pharmacovigilance: A review , 2015, J. Biomed. Informatics.

[23]  Ryen W. White,et al.  Web-scale pharmacovigilance: listening to signals from the crowd , 2013, J. Am. Medical Informatics Assoc..

[24]  Samantha R. Paige,et al.  eHealth Literacy and Web 2.0 Health Information Seeking Behaviors Among Baby Boomers and Older Adults , 2015, Journal of medical Internet research.

[25]  Postlicensure Safety Surveillance for Quadrivalent Human Papillomavirus Recombinant Vaccine , 2009 .

[26]  Athanasios V. Vasilakos,et al.  Big data: From beginning to future , 2016, Int. J. Inf. Manag..

[27]  Hutchison Ja Share your Experience. , 1976 .

[28]  Krishna P. Gummadi,et al.  Geographic Dissection of the Twitter Network , 2012, ICWSM.

[29]  Marie Lindquist,et al.  Social Media and Networks in Pharmacovigilance , 2011, Drug safety.

[30]  Taha A. Kass-Hout,et al.  Digital Drug Safety Surveillance: Monitoring Pharmaceutical Products in Twitter , 2014, Drug Safety.

[31]  T. Nef,et al.  Social networking sites and older users – a systematic review , 2013, International Psychogeriatrics.

[32]  Yen S. Low,et al.  Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art , 2014, Drug Safety.

[33]  Ruihua Yin,et al.  Monitoring the safety of quadrivalent human papillomavirus vaccine: findings from the Vaccine Safety Datalink. , 2011, Vaccine.

[34]  E. Inada,et al.  The Macrophage-Mediated Effects of the Peroxisome Proliferator-Activated Receptor-Gamma Agonist Rosiglitazone Attenuate Tactile Allodynia in the Early Phase of Neuropathic Pain Development , 2011, Anesthesia and analgesia.

[35]  Eni Mustafaraj,et al.  From Obscurity to Prominence in Minutes: Political Speech and Real-Time Search , 2010 .