ADR databases for on-site clinical use: Potentials of summary of products characteristics

Basic Clin Pharmacol Toxicol. 2021 Apr;128(4):557-567. doi: 10.1111/bcpt.13564. Epub 2021 Feb 24.

Abstract

Adverse drug reactions (ADRs) for all drugs in Europe are described in the legally approved Summary of Product Characteristics (SmPC). An overview of all ADRs of the patients' drug list can support healthcare staff to link patient symptoms to possible ADRs. We review the possibilities and challenges to extract ADR information from SmPCs or American Structured Product Labels and present the development of our semi-automated procedure for extraction of ADRs from the tabulated section in the SmPCs to create a database, named Bikt, which is regularly updated and used at point of care in Sweden. The existence of five major table formats for ADRs used in the SmPCs required the development of different parsing scripts. Manual checks for correctness for all content have to be performed. The quality of extraction was investigated for all SmPCs by measuring precision, recall and F1 scores and compared with other methods published. We conclude that it is possible to semi-automatically extract ADR information from SmPCs. However, clear technical and content guidelines and standards for ADR tables and terms from drug registration authorities would lead to improved extraction and usability of ADR information at point of care.

Keywords: ADR database; adverse drug reaction; clinical decision support; data extraction; knowledge bases; structured product labels; summary of product characteristics.

Publication types

  • Review

MeSH terms

  • Adverse Drug Reaction Reporting Systems / organization & administration*
  • Adverse Drug Reaction Reporting Systems / statistics & numerical data
  • Drug Labeling / statistics & numerical data*
  • Drug-Related Side Effects and Adverse Reactions / diagnosis*
  • Drug-Related Side Effects and Adverse Reactions / etiology
  • Europe
  • Humans
  • Point-of-Care Systems / organization & administration*
  • Point-of-Care Systems / statistics & numerical data