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

@article{Tricco2018UtilityOS,
  title={Utility of social media and crowd-intelligence data for pharmacovigilance: a scoping review},
  author={Andrea C. Tricco and Wasifa Zarin and Erin Lillie and Serena Jeblee and Rachel Warren and Paul A. Khan and Reid Robson and Ba' Pham and Graeme Hirst and Sharon E. Straus},
  journal={BMC Medical Informatics and Decision Making},
  year={2018},
  volume={18}
}
BackgroundA scoping review to characterize the literature on the use of conversations in social media as a potential source of data for detecting adverse events (AEs) related to health products.MethodsOur specific research questions were (1) What social media listening platforms exist to detect adverse events related to health products, and what are their capabilities and characteristics? (2) What is the validity and reliability of data from social media for detecting these adverse events… 

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References

SHOWING 1-10 OF 105 REFERENCES

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

TLDR
This scoping review aims to assess the utility of social media and crowd-sourced data to detect and monitor adverse events related to health products including pharmaceuticals, medical devices, biologics and natural health products.

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.

Utilizing social media data for pharmacovigilance: A review

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.

Social Media Listening for Routine Post-Marketing Safety Surveillance

TLDR
One methodology is described that could help unlock the potential of social media for safety surveillance by standardizing drug names and vernacular symptoms, removing duplicates and noise, masking personally identifiable information, and adding supplemental data to facilitate the review process.

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.

Social media mining for drug safety signal detection

TLDR
This work proposes to use association mining and Proportional Reporting Ratios to mine the associations between drugs and adverse reactions from the user contributed content in social media and shows that the metrics leverage, lift, and PRR are all promising to detect the adverse drug reactions reported by FDA.

Detecting Signals of Adverse Drug Reactions from Health Consumer Contributed Content in Social Media

TLDR
The result shows that the proposed technique is promising to detect the adverse drug reactions reported by FDA, such as diarrhea, heart condition, depression, and suicidal thoughts, however, adverse drug reaction such as cancer cannot be detected effectively.

Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts in Health-Related Social Networks

TLDR
It is concluded that user comments pose a significant natural language processing challenge, but do contain useful extractable information which merits further exploration and is evaluated on a manually annotated set of user comments with promising performance.
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