Interrater reliability of Chinese medicine diagnosis in people with prediabetes

Background. Achieving reproducibility in research design is challenging when patient cohorts under study are inconsistently defined. Traditional Chinese medicine (TCM) diagnosis is one example where inconsistency between practitioners has been found. We hypothesise that the use of a validated instrument may improve consistency. Biochemical biomarkers may also be used enhance reliability. Methods. Twenty-seven participants with prediabetes were assessed by two TCM practitioners using a validated instrument (TEAMSI-TCM). Inter-rater reliability was summarised using percentage agreement and the kappa coefficient. One-way ANOVA and Tukey’s post hoc test were used to test links between TCM diagnosis and biomarkers. Results. The two practitioners agreed on primary diagnosis of 70% of participants. kappa = 0.56 (P