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Data management in practice-based research.

Joanne Nyiendo1, Michael Attwood, Carol Lloyd

  • 1Western States Chiropractic College, Division of Research, Center for Outcomes Studies, Portland, Ore. 97230, USA.

Journal of Manipulative and Physiological Therapeutics
|March 19, 2002
PubMed
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Effective data management systems are crucial for multi-site research. This study highlights challenges in data collection and management across 74 sites, emphasizing resource needs for quality control.

Area of Science:

  • Clinical research methodology
  • Health services research
  • Data management in multi-site studies

Background:

  • Multi-site data collection presents significant logistical and management challenges.
  • Effective data management systems are essential for research integrity and successful outcomes.
  • Previous research has not fully detailed the practical issues in managing data from numerous community-based sites.

Purpose of the Study:

  • To explore data management issues encountered during the design, conduct, and analysis phases of a multi-site research project.
  • To identify challenges and best practices for central data management systems in community-based research.
  • To provide insights into the resources and planning required for successful multi-site data collection.

Main Methods:

Related Experiment Videos

  • The study involved 74 community-based sites collecting data for a low back pain research project.
  • A central data management system was utilized for data aggregation and analysis.
  • Data integrity was monitored throughout the collection and analysis process.

    • Main Results:

    • Data integrity was maintained at a very high level once data reached the central site.
    • Challenges encountered were typical of practice-based research, including limitations in finances, staff, and facilities.
    • The conversion of research protocols into practical data collection and management procedures proved complex.

    Conclusions:

    • Successfully implementing a research protocol requires significant effort and resources for data management and quality control.
    • Early recognition of the complexities and resource needs for data management is critical for multi-site studies.
    • The findings underscore the importance of robust data management planning in community-based, multi-site research endeavors.