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A database for rheumatoid arthritis

F Wolfe1

  • 1Arthritis Research and Clinical Centers, Wichita, Kansas, USA.

Rheumatic Diseases Clinics of North America
|May 1, 1995
PubMed
Summary
This summary is machine-generated.

This study outlines a method for creating and managing a rheumatoid arthritis patient database. It ensures data accuracy for research by recommending essential variables for different database depths.

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Area of Science:

  • Rheumatology
  • Data Science
  • Clinical Research

Background:

  • Longitudinal data is crucial for understanding rheumatoid arthritis progression.
  • Establishing reliable databases in clinical settings presents challenges.
  • Standardized data collection is needed for robust rheumatoid arthritis research.

Purpose of the Study:

  • To present a methodology for establishing and maintaining a longitudinal rheumatoid arthritis database.
  • To address concerns about the validity and reliability of data collected in clinical settings.
  • To recommend specific variables for varying levels of database detail.

Main Methods:

  • Described a methodology for database establishment and maintenance.
  • Addressed data validity and reliability in longitudinal collection.

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  • Recommended variable sets for minimal, moderate, and extensive databases.

    • Main Results:

    • A framework for a longitudinal rheumatoid arthritis database was detailed.
    • Strategies for ensuring data integrity in clinical research were discussed.
    • Specific variable recommendations were provided based on database scope.

    Conclusions:

    • A robust methodology for longitudinal rheumatoid arthritis database creation and maintenance is essential.
    • Addressing data validity and reliability is key for meaningful clinical research.
    • Standardized variable selection supports comprehensive rheumatoid arthritis data collection.