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An overview of methodological flaws of real-world studies investigating drug safety in the post-marketing setting.

Salvatore CrisafulliZakir KhanYusuf KaratasMarco TuccoriGianluca Trifirò
Published in: Expert opinion on drug safety (2023)
Real-world evidence biases can be ascribed to both the methodological approach and the specific limitations of the different real-world data sources used to carry out the study. As such, it is crucial to characterize the quality of real-world data, by establishing guidelines and best practices for the assessment of data fitness for purpose. On the other hand, it is important that real-world studies are conducted using a rigorous methodology, aimed at minimizing the risk of bias.
Keyphrases
  • electronic health record
  • big data
  • healthcare
  • drinking water
  • machine learning
  • physical activity
  • case control
  • emergency department
  • artificial intelligence