Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases

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...

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Autores principales: Maeda-Minami, Ayako, Yoshino, Tetsuhiro, Horiba, Yuko, Nakamura, Tomonori, Watanabe, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2021
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290296/
https://www.ncbi.nlm.nih.gov/pubmed/33861620
http://dx.doi.org/10.1089/acm.2020.0298
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author Maeda-Minami, Ayako
Yoshino, Tetsuhiro
Horiba, Yuko
Nakamura, Tomonori
Watanabe, Kenji
author_facet Maeda-Minami, Ayako
Yoshino, Tetsuhiro
Horiba, Yuko
Nakamura, Tomonori
Watanabe, Kenji
author_sort Maeda-Minami, Ayako
collection PubMed
description 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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spelling pubmed-82902962021-07-20 Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases Maeda-Minami, Ayako Yoshino, Tetsuhiro Horiba, Yuko Nakamura, Tomonori Watanabe, Kenji J Altern Complement Med Short Report 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. Mary Ann Liebert, Inc., publishers 2021-07-01 2021-07-12 /pmc/articles/PMC8290296/ /pubmed/33861620 http://dx.doi.org/10.1089/acm.2020.0298 Text en © Ayako Maeda-Minami et al. 2021; Published by Mary Ann Liebert, Inc. https://creativecommons.org/licenses/by/4.0/This Open Access article is distributed under the terms of the Creative Commons License [CC-BY] (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Report
Maeda-Minami, Ayako
Yoshino, Tetsuhiro
Horiba, Yuko
Nakamura, Tomonori
Watanabe, Kenji
Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases
title Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases
title_full Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases
title_fullStr Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases
title_full_unstemmed Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases
title_short Inter-Rater Reliability of Kampo Diagnosis for Chronic Diseases
title_sort inter-rater reliability of kampo diagnosis for chronic diseases
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290296/
https://www.ncbi.nlm.nih.gov/pubmed/33861620
http://dx.doi.org/10.1089/acm.2020.0298
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