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Related Experiment Videos

Systematic clinical auditing in complementary medicine: rationale, concept, and a pilot study

D Melchart1, K Linde, J Z Liao

  • 1Projekt Münchener Modell, Technische Universität, Munich, Germany.

Alternative Therapies in Health and Medicine
|January 1, 1997
PubMed
Summary

Systematic clinical auditing offers a valuable method for evaluating complementary medicine, complementing randomized clinical trials. This approach provides insights into practice patterns and patient outcomes in areas like traditional Chinese medicine.

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Area of Science:

  • Complementary Medicine
  • Health Services Research
  • Traditional Chinese Medicine

Background:

  • Scientific evaluation of complementary medical practices is needed.
  • Randomized clinical trials are primary but not sole evaluation tools.
  • Conceptual and pragmatic limitations exist for RCTs in complementary medicine.

Purpose of the Study:

  • Propose systematic clinical auditing for complementary medicine evaluation.
  • Provide data on "epidemiology" of complementary practices.
  • Clarify daily practice processes and estimate outcomes.
  • Determine representative questions for future RCTs.

Main Methods:

  • Systematic clinical auditing using observational studies of large patient samples.

Related Experiment Videos

  • Pilot study in a German hospital for traditional Chinese medicine (TCM).
  • Inclusion of 1597 patients admitted between Feb 1992 and Aug 1993.
  • Recording patient characteristics, diagnoses, interventions, and complaint intensity (1-10 scale) at multiple time points.

    • Main Results:

    • Two-thirds of patients had chronic pain; migraine was the most common diagnosis (n=244).
    • Common interventions included acupuncture, Chinese herbal therapy, tuina massage, and qigong.
    • Mean complaint intensity decreased from 7.0 at admission to 4.6 at discharge, and was 5.5 at 12 months.

    Conclusions:

    • Systematic clinical auditing is a valuable tool for complementary medicine research.
    • It facilitates collection of data on structure, process, and outcomes.
    • It helps identify key questions for future randomized clinical trials.