Social Media Listening for Routine Post-Marketing Safety Surveillance

  title={Social Media Listening for Routine Post-Marketing Safety Surveillance},
  author={Greg Powell and Harry Seifert and Tjark Reblin and Phil J Burstein and James Blowers and J. Alan Menius and Jeffery L. Painter and Michele D. Thomas and Carrie Pierce and Harold Rodriguez and John S. Brownstein and Clark C. Freifeld and Heidi G Bell and Nabarun Dasgupta},
  journal={Drug Safety},
IntroductionPost-marketing safety surveillance primarily relies on data from spontaneous adverse event reports, medical literature, and observational databases. [] Key Method The resulting dataset was analyzed for safety and benefit information.

Using Social Media Data in Routine Pharmacovigilance: A Pilot Study to Identify Safety Signals and Patient Perspectives

Analysis of social media data did not identify new or previously identified safety signals but did provide insights into medication tolerability, adherence, quality of life, and patient perspectives but not into device and product quality issues.

Combining Social Media and FDA Adverse Event Reporting System to Detect Adverse Drug Reactions

The accuracy of signal detection using social media can be improved by combining signals with those from SRSs, but the combined system cannot achieve better AUC performance than data from FAERS alone, which may indicate that Twitter data are not ready to be integrated into a purely data-driven combination system.

Commercial Online Social Network Data and Statin Side-Effect Surveillance: A Pilot Observational Study of Aggregate Mentions on Facebook

A novel commercial software-as-a-service data-mining product was used to mine all mentions on Facebook of statins and stain-related side effects in the US in the 1-month period 9 January 2017 through 8 February 2017, but the inability to mine the full text of a posting poses serious challenges to content categorization.

Using social media in safety signal management: is it reliable?

The analysis of social media datasets has demonstrated a limited contribution to the signal detection and signal management process and it is concluded that the data available in social media can complement blind spots in traditional pharmacovigilance datasets and provide significant value for targeted investigations and studies.

Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts

Whether specific product–adverse event pairs were reported via social media before being reported to the US FDA Adverse Event Reporting System (FAERS) is examined to provide earlier insights into certain adverse events.

The usefulness of listening social media for pharmacovigilance purposes: a systematic review

Proto-signals identified by social media listening had the potential of anticipating pre-specified known signals in only six studies, and the personal perception of patients reported in social media could be used to implement effective risk communication strategies.

Utility of social media and crowd-intelligence data for pharmacovigilance: a scoping review

The results suggest that the use of social media conversations for pharmacovigilance is in its infancy, and the utility and validity of the data source remains under-studied.

The Use of Social Media in ADR Monitoring and Reporting

The results from the study indicate that a collaborative effort is required between the pharmaceutical industry, HCPs and the public before social media can reach its full beneficial potential as a tool in Pharmacovigilance.

Using Social Media To Determine Outcomes That Matter Most To Patients

The value and feasibility of using social media to understand the patient perspective on medical product risks and living with different medical conditions and trends and associations between user sentiment and topics such as adverse events, quality of life, and experiences living with BC are analyzed.

Assessment of the Utility of Social Media for Broad-Ranging Statistical Signal Detection in Pharmacovigilance: Results from the WEB-RADR Project

The results clearly suggest that broad-ranging statistical signal detection in Twitter and Facebook, using currently available methods for adverse event recognition, performs poorly and cannot be recommended at the expense of other pharmacovigilance activities.



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

Publicly 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.

Utilizing social media data for pharmacovigilance: A review

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

This scoping review noted multiple methods for identifying target data, extracting them, and evaluating the quality of medical information from social media and showed some remaining gaps in the field.

What makes people talk about antibiotics on social media? A retrospective analysis of Twitter use

Institutional events can rapidly amplify antibiotic discussions on social media, but their short lifespan may hinder their public impact and multi-step strategies may be required to prolong responses.

Breaking the News or Fueling the Epidemic? Temporal Association between News Media Report Volume and Opioid-Related Mortality

An ecological study compared a monthly time series of unintentional poisoning deaths involving short-acting prescription opioid substances to monthly counts of English-language news articles mentioning generic and branded names of prescription opioids obtained from Google News Archives to find a significant association between news reports and deaths.

Web-scale pharmacovigilance: listening to signals from the crowd

It is found that anonymized signals on drug interactions can be mined from search logs, and logs of the search activities of populations of computer users can contribute to drug safety surveillance.

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

There was general agreement that a higher frequency of adverse events was found in social media and that this was particularly true for 'symptom' related and 'mild' adverse events.

Pharmacovigilance on Twitter? Mining Tweets for Adverse Drug Reactions

A systematic study of tweets collected for 74 drugs to assess their value as sources of potential signals for adverse drug reactions (ADRs), creating an annotated corpus of 10,822 tweets and attempting a lexicon-based approach for concept extraction, with promising success.

Toward Enhanced Pharmacovigilance Using Patient-Generated Data on the Internet

A study on harnessing behavioral data drawn from Internet search logs to detect adverse drug reactions (ADRs) finds that the performance of ADR detection via search logs is comparable and complementary to detection based on the FDA's AERS system.