A Novel Approach to Describing Traditional Chinese Medical Patterns: The "Traditional Chinese Medical Diagnostic...

Area of Science:

• Integrative Medicine
• Medical Informatics
• Clinical Diagnostics

Background:

• Previous studies indicated low diagnostic agreement among Traditional Chinese Medicine (TCM) practitioners.
• Concerns were raised regarding the statistical methods used for evaluating inter-rater reliability in TCM diagnostics.
• There was a need for a standardized method to record and compare TCM diagnostic patterns.

Purpose of the Study:

• To introduce and evaluate a novel approach for recording TCM diagnostic patterns, the Traditional Chinese Medical Diagnostic Descriptor (TCMDD).
• To assess diagnostic agreement using the TCMDD format and compare it with traditional TCM diagnostic recording methods.
• To demonstrate the utility of the TCMDD in conjunction with appropriate statistical measures like Gwet's Agreement Coefficient 2 (AC2) for reliable agreement calculation.

Main Methods:

• A new data format, the Traditional Chinese Medical Diagnostic Descriptor (TCMDD), was developed to capture TCM diagnostic patterns.
• 35 subjects were diagnosed by multiple TCM practitioners using both the traditional TCM format and the new TCMDD format.
• Diagnostic agreement was calculated using linearly weighted simple agreement and Gwet's Agreement Coefficient 2 (AC2).

Main Results:

• Linearly weighted simple agreement using the TCMDD format averaged 0.80 ± 0.02, significantly higher than the 0.19 for the traditional TCM format.
• Chance-removed agreement, calculated with AC2, ranged from 0.67 to 0.73 ± 0.03 for TCMDD and mapped TCM diagnoses.
• The TCMDD format demonstrated superior performance in capturing and comparing the essence of TCM diagnoses.

Conclusions:

• The Traditional Chinese Medical Diagnostic Descriptor (TCMDD) provides a robust framework for recording TCM diagnostic patterns.
• The TCMDD facilitates reliable calculation of chance-removed agreement statistics, such as AC2, in open populations.
• This novel approach enhances the comparability and reliability of TCM diagnoses, addressing previous concerns about diagnostic consistency.