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Data collection in the clinic

F Wolfe1, T Pincus

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

Rheumatic Diseases Clinics of North America
|May 1, 1995
PubMed
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Clinicians can advance rheumatic disease research through patient care by developing cost-effective databanks. This guide details methodologies and provides recommendations for establishing successful longitudinal research and clinical care data collection.

Area of Science:

  • Rheumatology
  • Clinical Research
  • Data Science

Background:

  • Clinical research is vital for advancing the understanding of rheumatic diseases.
  • Integrating research into routine patient care offers unique opportunities for data collection.
  • Establishing robust databanks is crucial for longitudinal studies.

Purpose of the Study:

  • To outline cost-effective methodologies for developing research and clinical care databanks.
  • To provide practical guidance for clinicians in various settings.
  • To facilitate the creation of successful, longitudinal data repositories.

Main Methods:

  • Description of methodologies for building databanks within ordinary patient-care activities.
  • Inclusion of specific forms and templates for data collection.

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  • Recommendations for optimizing databank development and maintenance.

    • Main Results:

    • Demonstration of cost-effective approaches to databank creation.
    • Successful implementation of longitudinal data collection strategies.
    • Availability of practical tools and recommendations for researchers.

    Conclusions:

    • Clinicians can make significant contributions to rheumatic disease research.
    • Cost-effective databanks are feasible and beneficial for longitudinal studies.
    • The methodologies presented support the integration of research into clinical practice.