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Data management in a longitudinal cross-cultural study.

R J Roberts1, B S Musick, B Olley

  • 1Department of Psychiatry, Indiana University School of Medicine, Indianapolis, USA. roberts1@iupui.edu

Statistics in Medicine
|June 9, 2000
PubMed
Summary

The Indianapolis-Ibadan Dementia Project successfully managed data for a longitudinal, cross-cultural study comparing dementia rates in the U.S.A. and Nigeria. Careful planning ensured data integrity despite differing technological landscapes.

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Area of Science:

  • Neuroscience
  • Epidemiology
  • Data Science

Background:

  • The Indianapolis-Ibadan Dementia Project is a longitudinal, cross-cultural study comparing dementia prevalence in the U.S.A. and Nigeria.
  • Recruitment involved approximately 2500 elderly individuals at each site, with ongoing re-assessments every two years.

Purpose of the Study:

  • This paper focuses on the critical data management challenges encountered in this cross-cultural research.
  • Key objectives include detailing strategies for effective data handling in diverse technological and cultural settings.

Main Methods:

  • Data collection utilized paper-based forms, subsequently entered into a FoxPro relational database.
  • Data management, including cleaning and quality control, was primarily centralized in Indianapolis.

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  • Form design emphasized clarity and simplicity for cross-cultural comprehension and accurate response coding.

    • Main Results:

    • The study highlights the importance of adaptable technology choices (hardware and software) suitable for varying levels of technological development.
    • Exchange visits between sites proved essential for addressing emergent data management issues and problem-solving.
    • Successful data management was achieved through meticulous planning and proactive issue resolution.

    Conclusions:

    • Effective data management in cross-cultural studies is achievable with careful planning and adaptive strategies.
    • The project demonstrates that longitudinal, cross-cultural dementia research can overcome data management hurdles through thoughtful implementation.