Social media monitoring for adverse events

 

INTRODUCTION

A new resource for real-world information about drug side effects is social media. Numerous research has looked into how to use social media to spot early warning signs of adverse drug reactions. According to research near about 4.74 billion, people use social media in the world. So, it can use for faster detection of early signs and symptoms of any drug. A recent poll found that 90% of people between the ages of 18 and 24 trust medical information shared on social feeds.

TYPES OF SOCIAL MEDIA REPORTING

in social media, reporting is classified into two categories: -

  • Generic social networking sites

Big public platforms like Facebook, Twitter, Instagram, etc.

  • Specialized healthcare social networks and forums

Platforms like patients like me, DailyStrength, and MedHelp. WebMD and CureTogether and patient forums like Ask a Patient and Medications.com


WHO CAN REPORT THE ADVERSE EVENT ON SOCIAL MEDIA?

Lots of people are using social media in the world, so anyone can report an adverse event on social media whether they are HCP or not hence according to FDA the social media cases are recorded as spontaneous cases. And user id of social media is reported as a reporter.

PROCESS OF SOCIAL MEDIA MONITORING

  1. Collection of data:

According to GVP Module VI states that MAHs should regularly search the internet or digital media for potential reports of suspected adverse reactions. Search the keyword on social media like drug name and collect the post and data.

  1. Filter /classification of data:

Followed by the collection of data, a large amount of raw data we get and we need to classify or filter irrelevant data,

  1. Adverse drug reaction extraction:

In this, we have to identify the ADR-mentioned posts and then extract the ADR mention by identifying the spam in the post. And then extracted ADR mentions are mapped to the standard concept on MedDRA.

  1. Statistical analysis:

the statistical analysis is performed on extracted drug adr-pair, this step is used to identify drugs that may be harmful.

ADVANTAGES OF SOCIAL MEDIA ADVERSE EVENT MONITORING.

  • Obtaining unfiltered user experience

  • More awareness for patients and pharmaceutical companies

  • Circulate the information more rapidly

  • It also increases the speed of reporting

  • Easy way to share or report an adverse event about drug

DISADVANTAGES OF SOCIAL MEDIA ADVERSE EVENT MONITORING

  • Report may contain incorrect clinical attributes.

  • Difficult to extract the data

  • There are issues regarding patient privacy

  • Non-HCP can also report the adverse event

  • Increases load on the system due to a large number of reports, and it may cause difficulties in signal detection.


CONCLUSION

adverse event monitoring by social media is the easiest way to report and also improve the relationship between the company and the community. As we know all good things have pros and cons, social media adverse event monitoring sometimes gets difficult to monitor due large amount of data. As well as difficult to identify AE.

Social media ADR reports are reviewed as spontaneous reports. HCP as well as Non- HCP can report the adverse event on social media. so, in the future by the use of AI and ML social media monitoring will get easier to extract data and identify the AE.

References

  1. FDA perspectives on social media for postmarket safety monitoring. Available at- https://www.fda.gov/media/122897/download

  2. Pappa, Dimitra & Stergioulas, Lampros. (2019). Harnessing social media data for pharmacovigilance: a review of the current state of the art, challenges and future directions. International Journal of Data Science and Analytics. Available at- https://www.researchgate.net/publication/331043217_Harnessing_social_ media_data_for_pharmacovigilance_a_review_of_current_state_of_the_a rt_challenges_and_future_directions

  3. Katikapalli, Kalyan & Sangeetha, S.. (2020). Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa Available at https://www.researchgate.net/publication/342548209_Want_to_Identify_ Extract_and_Normalize_Adverse_Drug_Reactions_in_Tweets_Use_RoB ERTa

  4. Abeed Sarker, Rachel Ginn, Azadeh Nikfarjam, Karen O’Connor, Karen Smith, Swetha Jayaraman, Tejaswi Upadhaya, Graciela Gonzalez, Utilizing social media data for pharmacovigilance: A review Journal of Biomedical Informatics, Volume 54, 2015, Pages 202-212, Available at- https://www.sciencedirect.com/science/article/pii/S1532046415000362


Written by: Sankalp Bali Qualification: B. PHARM

ID.No: CSRPL_INT_OFL_WKD_170/0922

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