Abstract:
Post-marketing surveillance of drugs is important because many adverse drug reactions (ADRs) cannot be detected in the pre-marketing clinical trials due to their limited ...Show MoreMetadata
Abstract:
Post-marketing surveillance of drugs is important because many adverse drug reactions (ADRs) cannot be detected in the pre-marketing clinical trials due to their limited scale and duration. This is especially true for pediatric patients who are often excluded from clinical trials out of ethical considerations. As a result, drug safety and efficacy data on children are largely missing, and pediatricians are compelled to prescribe in moderation based on adult data. Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders that affect children. Six million American children are diagnosed with ADHD, among whom one-third are toddlers and preschoolers aged 2-5 years. The medical community and the public are vigilant of the potential adverse drug reactions among the preschooler population due to their young age, although very few studies are available. At present, post-marketing pharmacovigilance relies heavily on spontaneous reporting systems, electronic health records (EHR), and other relevant databases. These approaches are robust but not without limitations. For instance, access to these datasets is limited to approved personnel, and secondary use of the data for pharmacovigilance research is usually lagged. Most data input to spontaneous reporting systems is from professionals, since patients may not be aware of or have the capacity to navigate those systems. Recently, researchers have started paying attention to health consumer-generated content from social media platforms for post-marketing surveillance due to their ease of use to consumers and abundance in data volume. In this study, we mined the signals of associations between drugs and adverse drug reactions for preschool-aged children with ADHD using health consumers-generated content and examined their clinical implications. We identified four drug-ADR associations supported by clinical trials or post-marketing evidence and three known but relatively rare association...
Date of Conference: 30 November 2020 - 03 December 2020
Date Added to IEEE Xplore: 12 March 2021
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- IEEE Keywords
- Index Terms
- Adverse Events ,
- Attention Deficit Hyperactivity Disorder ,
- Drug Reactions ,
- Treatment Of Attention Deficit Hyperactivity Disorder ,
- Potential Adverse Reactions ,
- Potential Adverse Drug Reactions ,
- Consumer-generated Content ,
- Clinical Trials ,
- Physicians ,
- Social Media ,
- Electronic Health Records ,
- Reporter System ,
- Preschool-aged Children ,
- Association Signals ,
- Preschool Age ,
- Relevant Databases ,
- Post-marketing Surveillance ,
- Common Neurodevelopmental Disorder ,
- Drug Use ,
- Food And Drug Administration ,
- Online Health Communities ,
- Unified Medical Language System ,
- Association Rule Mining ,
- Drug Of Interest ,
- National Library Of Medicine ,
- Natural Language Processing Tools ,
- Subject Matter Experts ,
- Social Media Data ,
- Regular Expressions ,
- Casual Association
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Adverse Events ,
- Attention Deficit Hyperactivity Disorder ,
- Drug Reactions ,
- Treatment Of Attention Deficit Hyperactivity Disorder ,
- Potential Adverse Reactions ,
- Potential Adverse Drug Reactions ,
- Consumer-generated Content ,
- Clinical Trials ,
- Physicians ,
- Social Media ,
- Electronic Health Records ,
- Reporter System ,
- Preschool-aged Children ,
- Association Signals ,
- Preschool Age ,
- Relevant Databases ,
- Post-marketing Surveillance ,
- Common Neurodevelopmental Disorder ,
- Drug Use ,
- Food And Drug Administration ,
- Online Health Communities ,
- Unified Medical Language System ,
- Association Rule Mining ,
- Drug Of Interest ,
- National Library Of Medicine ,
- Natural Language Processing Tools ,
- Subject Matter Experts ,
- Social Media Data ,
- Regular Expressions ,
- Casual Association
- Author Keywords