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Characterizing treatment pathways at scale using the OHDSI network.

George Hripcsak1, Patrick B Ryan2, Jon D Duke3

  • 1Department of Biomedical Informatics, Columbia University Medical Center, New York, NY 10032; Medical Informatics Services, NewYork-Presbyterian Hospital, New York, NY 10032; Observational Health Data Sciences and Informatics, New York, NY 10032; hripcsak@columbia.edu.

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Summary
This summary is machine-generated.

Large-scale international observational research is feasible, revealing consistent treatment trends across diseases like diabetes, hypertension, and depression, despite remaining care variations. This highlights challenges in generalizing clinical trial results due to population diversity.

Keywords:
data networkobservational researchtreatment pathways

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Area of Science:

  • Health Informatics
  • Observational Research
  • Clinical Epidemiology

Background:

  • Observational research complements experimental studies by utilizing large, diverse populations.
  • Understanding population diversity and care variability is crucial for clinical research.
  • The Observational Health Data Sciences and Informatics (OHDSI) collaboration leverages international data networks.

Purpose of the Study:

  • To assess the feasibility of large-scale international observational research.
  • To elucidate treatment pathways for type 2 diabetes mellitus, hypertension, and depression.
  • To identify trends and heterogeneity in clinical care across diverse populations and data sources.

Main Methods:

  • Established an international data network with 11 sources from four countries.
  • Utilized electronic health records and administrative claims data from 250 million patients.
  • Mapped data to common standards, maintained privacy via a distributed model, and aggregated results centrally.

Main Results:

  • Observed a global trend towards more consistent therapies over time, yet significant heterogeneity persists.
  • Type 2 diabetes mellitus predominantly favored metformin as a first-line medication.
  • Unique treatment pathways were identified in approximately 10% of diabetes/depression patients and 25% of hypertension patients.

Conclusions:

  • Large-scale international observational research is feasible and valuable.
  • Despite trends toward consistency, significant variations in treatment pathways remain.
  • Heterogeneity in observational data presents challenges for generalizing experimental research findings.