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Visualizations throughout pharmacoepidemiology study planning, implementation, and reporting.

Nicolle M GattoShirley V WangWilliam MurkPattra MattoxM Alan BrookhartAndrew BateSebastian G SchneeweissJeremy A Rassen
Published in: Pharmacoepidemiology and drug safety (2022)
Transparency is increasingly promoted to instill trust in nonrandomized studies using real-world data. Graphics and data visualizations support transparency by aiding communication and understanding, and can inform study design and analysis decisions. However, other than graphical representation of a study design and flow diagrams (e.g., a Consolidated Standards of Reporting Trials [CONSORT] like diagram), specific standards on how to maximize validity and transparency with visualization are needed. This paper provides guidance on how to use visualizations throughout the life cycle of a pharmacoepidemiology study-from initial study design to final report-to facilitate rationalized and transparent decision-making about study design and implementation, and clear communication of study findings. Our intent is to help researchers align their practices with current consensus statements on transparency.
Keyphrases
  • healthcare
  • primary care
  • emergency department
  • electronic health record
  • life cycle
  • quality improvement
  • deep learning
  • clinical practice