Social Media Listening for Routine Post-Marketing Safety Surveillance

@article{Powell2016SocialML,
  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},
  year={2016},
  volume={39},
  pages={443-454}
}
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.

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TLDR
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.

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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.

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TLDR
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

TLDR
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.
...

References

SHOWING 1-10 OF 70 REFERENCES

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

TLDR
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

TLDR
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

TLDR
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

TLDR
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

TLDR
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.

TLDR
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

TLDR
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

TLDR
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.
...