Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases

Ayako Maeda-Minami; Tetsuhiro Yoshino; Yuko Horiba; Tomonori Nakamura; Kenji Watanabe

doi:10.1089/acm.2020.0298

Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases

Ayako Maeda-Minami, Tetsuhiro Yoshino, Yuko Horiba, Tomonori Nakamura, Kenji Watanabe

Department of Pharmacy

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This single-center observational study aimed to assess the inter-rater reliability (IRR) of Kampo medicine pattern diagnosis, which is modularized into three modules for chronic diseases, using 64 participants' information documents. The linearly weighted percentage of agreement and Gwet's agreement coefficient (AC) 2 for the deficiency-excess module, among three specialists, were 85.9% and 0.708, respectively. The unweighted percentage of agreement and Gwet's AC1 were 64.6% and 0.542 for the cold-heat, and 35.9% and 0.254 for the qi-blood-fluid modules, respectively. Our findings suggest that our modularization method may improve the IRR of Kampo medicine pattern diagnosis.

Original language	English
Pages (from-to)	613-616
Number of pages	4
Journal	Journal of Alternative and Complementary Medicine
Volume	27
Issue number	7
DOIs	https://doi.org/10.1089/acm.2020.0298
Publication status	Published - Jul 2021

Keywords

Kampo
inter-rater reliability
pattern diagnosis

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10.1089/acm.2020.0298

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title = "Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases",

abstract = "This single-center observational study aimed to assess the inter-rater reliability (IRR) of Kampo medicine pattern diagnosis, which is modularized into three modules for chronic diseases, using 64 participants' information documents. The linearly weighted percentage of agreement and Gwet's agreement coefficient (AC) 2 for the deficiency-excess module, among three specialists, were 85.9% and 0.708, respectively. The unweighted percentage of agreement and Gwet's AC1 were 64.6% and 0.542 for the cold-heat, and 35.9% and 0.254 for the qi-blood-fluid modules, respectively. Our findings suggest that our modularization method may improve the IRR of Kampo medicine pattern diagnosis.",

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AU - Maeda-Minami, Ayako

AU - Yoshino, Tetsuhiro

AU - Horiba, Yuko

AU - Nakamura, Tomonori

AU - Watanabe, Kenji

N1 - Publisher Copyright: © Ayako Maeda-Minami et al. 2021; Published by Mary Ann Liebert, Inc. 2021.

PY - 2021/7

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Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases

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Keywords

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