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Related Experiment Videos

A randomized database study in general practice yielded quality data but patient recruitment in routine consultation

Georgio Mosis1, Jeanne P Dieleman, Bruno Ch Stricker

  • 1Department Medical Informatics, Erasmus University Medical Center, P.O. Box 1738, 30000 DR Rotterdam, The Netherlands.

Journal of Clinical Epidemiology
|April 25, 2006
PubMed
Summary

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Recruiting patients for randomized database studies during routine visits is challenging and time-consuming. Automating patient identification and recruitment is feasible, but physician burden and informed consent requirements hinder participation.

Area of Science:

  • Health Informatics
  • Clinical Research
  • General Practice

Background:

  • Randomized database studies offer efficient data collection for clinical research.
  • Automated methods for patient identification and recruitment are crucial for large-scale studies.
  • Assessing data quality and recruitment feasibility is vital for study success.

Purpose of the Study:

  • To evaluate the feasibility of patient recruitment and data quality in a randomized database study.
  • To identify obstacles and facilitators for patient recruitment in primary care settings.
  • To compare the gastrointestinal tolerability of diclofenac and celecoxib for osteoarthritis using real-world data.

Main Methods:

  • A randomized database study was conducted within the Integrated Primary Care Information (IPCI) database.

Related Experiment Videos

  • Software was developed for automated patient identification, recruitment, and randomization.
  • Patient-reported outcomes via questionnaires were compared with database records for accuracy.

    • Main Results:

    • Out of 7,127 identified subjects, only 170 were eligible, and 20 (11.8%) were randomized.
    • Physician busyness and patient treatment by other providers were primary reasons for non-recruitment (56.5%).
    • Exclusion criteria accounted for 31.8% of non-recruitment.

    Conclusions:

    • While randomized database studies are feasible, patient recruitment during routine consultations is inefficient.
    • Physician-reported time constraints and informed consent procedures are major barriers.
    • Automated systems improve data accuracy, but practical recruitment strategies need refinement.