Using real-world healthcare data for pharmacovigilance signal detection - the experience of the EU-ADR project

Expert Rev Clin Pharmacol. 2015 Jan;8(1):95-102. doi: 10.1586/17512433.2015.992878.

Abstract

A prospective pharmacovigilance signal detection study, comparing the real-world healthcare data (EU-ADR) and two spontaneous reporting system (SRS) databases, US FDA's Adverse Event Reporting System and WHO's Vigibase is reported. The study compared drug safety signals found in the EU-ADR and SRS databases. The potential for signal detection in the EU-ADR system was found to be dependent on frequency of the event and utilization of drugs in the general population. The EU-ADR system may have a greater potential for detecting signals for events occurring at higher frequency in general population and those that are commonly not considered as potentially a drug-induced event. Factors influencing various differences between the datasets are discussed along with potential limitations and applications to pharmacovigilance practice.

Keywords: EU-ADR; FAERS; adverse drug reactions; data mining; electronic health records; pharmacovigilance; real-world healthcare data; signal detection; spontaneous reporting systems.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Adverse Drug Reaction Reporting Systems
  • Databases, Factual
  • Delivery of Health Care / methods
  • Drug-Related Side Effects and Adverse Reactions / diagnosis*
  • Humans
  • Pharmacovigilance*
  • Prospective Studies