Comparative Analysis of Adverse Event Reporting on Reddit and the FDA Adverse Event Reporting System (FAERS)

Author:

Shoults Catherine C.ORCID,Abulez Dana,Nowak Matthew,Bledsoe Alasiah,Dormer Nathan,Garza Maryam Y.,Bona JonathanORCID,Powell Thomas,Hayes Corey J.ORCID

Abstract

AbstractThis study explores the potential of Reddit as a pharmacovigilance data source by comparing its adverse event reports related to mental health drugs with those from the FDA Adverse Event Reporting System (FAERS). Using data mining techniques, we annotated 1,000 Reddit posts to identify drug-adverse event pairs, which were then compared to FAERS data. Significant differences were noted in the frequency and types of adverse events reported on each platform. For instance, Reddit showed higher reports of sexual dysfunction and cognitive disorders for certain drugs, which were less frequently reported in FAERS. This disparity suggests that Reddit could capture a different demographic or more candid discussions, potentially influenced by its pseudonymous nature. The findings indicate that social media platforms like Reddit can provide valuable insights into real-world drug effects, complementing traditional pharmacovigilance systems. This study highlights the need for further research to integrate social media data to enhance drug safety monitoring.

Publisher

Cold Spring Harbor Laboratory

Reference39 articles.

1. U.S. Food and Drug Administration. Questions and Answers on FDA’s Adverse Event Reporting System (FAERS). US Dep Heal Hum Serv [Internet]. 2016;4–7. Available from: https://www.fda.gov/drugs/surveillance/questions-and-answers-fdas-adverse-event-reporting-system-faers

2. Empirical estimation of under-reporting in the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS)

3. Sonawane KB , Cheng N , Hansen RA . Serious Adverse Drug Events Reported to the FDA: Analysis of the FDA Adverse Event Reporting System 2006-2014 Database [Internet]. Vol. 24, Journal of Managed Care & Specialty Pharmacy JMCP July. 2018 [cited 2021 Apr 16]. Available from: www.jmcp.org

4. Evaluating the Completeness and Accuracy of MedWatch Data

5. Post marketing surveillance of suspected adverse drug reactions through spontaneous reporting: current status, challenges and the future;Ther Adv Drug Saf,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3