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

Popplewell, M; Reizes, J; Zaslawski, C

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

Popplewell, M Reizes, J Zaslawski, C

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Publication Type:: Journal Article
Citation:: Journal of Alternative and Complementary Medicine, 2019, 25 (11), pp. 1121 - 1129
Issue Date:: 2019-11-01

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Field	Value	Language
dc.contributor.author	Popplewell, M	en_US
dc.contributor.author	Reizes, J	en_US
dc.contributor.author	Zaslawski, C https://orcid.org/0000-0001-5618-5161	en_US
dc.date.issued	2019-11-01	en_US
dc.identifier.citation	Journal of Alternative and Complementary Medicine, 2019, 25 (11), pp. 1121 - 1129	en_US
dc.identifier.issn	1075-5535	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132740
dc.description.abstract	© Copyright 2019, Mary Ann Liebert, Inc. Objectives: In the first of a series of three articles by the present authors, diagnostic agreement between Traditional Chinese Medicine (TCM) practitioners was found to be low. This was the first time that TCM diagnoses had been evaluated with an open population of patients and this result is a cause of concern. In the second article, incorrect statistics were shown to have often been used to calculate chance-removed inter-rater agreement, and appropriate statistics such as Gwet's Agreement Coefficient 2 (AC2) was recommended for future studies. In this, the third article, a novel approach to recording TCM diagnostic patterns, the Traditional Chinese Medical Diagnostic Descriptor (TCMDD), is presented that allows chance-removed agreement calculation. An example of mapping TCM diagnostic patterns to the TCMDD format is given and diagnostic agreement is evaluated. Design, Settings, Subjects: The same 35 subjects used to report agreement in our first article were also diagnosed by additional practitioners using the TCMDD format during the same experimental sessions at the University of Technology, Sydney Clinic. TCM diagnoses from the first article were also mapped to the TCMDD format. Outcome measures: Linearly weighted simple agreement and the AC2 statistic were utilized and all results compared. Results: Linearly weighted simple agreement using the TCMDD and TCM mapped to TCMDD format averaged 0.80 ± 0.02 compared with 0.19 for TCM. TCMDD and TCM mapped to TCMDD chance-removed agreement, as calculated with AC2, ranged between 0.67 and 0.73 ± 0.03. Conclusions: The TCMDD allows the essence of diagnoses expressed by TCM practitioners to be appropriately compared. This was confirmed by the TCM mapped to TCMDD results. In both cases, simple agreement was significantly greater than that obtained with the TCM format. Chance-removed statistics and error estimates can be reliably calculated with the AC2 and the TCMDD in open populations.	en_US
dc.relation.ispartof	Journal of Alternative and Complementary Medicine	en_US
dc.relation.isbasedon	10.1089/acm.2018.0065	en_US
dc.subject.classification	Complementary & Alternative Medicine	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Diagnosis, Differential	en_US
dc.subject.mesh	Observer Variation	en_US
dc.subject.mesh	Medicine, Chinese Traditional	en_US
dc.subject.mesh	Reproducibility of Results	en_US
dc.subject.mesh	Adolescent	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Aged	en_US
dc.subject.mesh	Middle Aged	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Young Adult	en_US
dc.title	A Novel Approach to Describing Traditional Chinese Medical Patterns: The "traditional Chinese Medical Diagnostic Descriptor"	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	25	en_US
utslib.for	1104 Complementary and Alternative Medicine	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	25	en_US

Abstract:

© Copyright 2019, Mary Ann Liebert, Inc. Objectives: In the first of a series of three articles by the present authors, diagnostic agreement between Traditional Chinese Medicine (TCM) practitioners was found to be low. This was the first time that TCM diagnoses had been evaluated with an open population of patients and this result is a cause of concern. In the second article, incorrect statistics were shown to have often been used to calculate chance-removed inter-rater agreement, and appropriate statistics such as Gwet's Agreement Coefficient 2 (AC2) was recommended for future studies. In this, the third article, a novel approach to recording TCM diagnostic patterns, the Traditional Chinese Medical Diagnostic Descriptor (TCMDD), is presented that allows chance-removed agreement calculation. An example of mapping TCM diagnostic patterns to the TCMDD format is given and diagnostic agreement is evaluated. Design, Settings, Subjects: The same 35 subjects used to report agreement in our first article were also diagnosed by additional practitioners using the TCMDD format during the same experimental sessions at the University of Technology, Sydney Clinic. TCM diagnoses from the first article were also mapped to the TCMDD format. Outcome measures: Linearly weighted simple agreement and the AC2 statistic were utilized and all results compared. Results: Linearly weighted simple agreement using the TCMDD and TCM mapped to TCMDD format averaged 0.80 ± 0.02 compared with 0.19 for TCM. TCMDD and TCM mapped to TCMDD chance-removed agreement, as calculated with AC2, ranged between 0.67 and 0.73 ± 0.03. Conclusions: The TCMDD allows the essence of diagnoses expressed by TCM practitioners to be appropriately compared. This was confirmed by the TCM mapped to TCMDD results. In both cases, simple agreement was significantly greater than that obtained with the TCM format. Chance-removed statistics and error estimates can be reliably calculated with the AC2 and the TCMDD in open populations.

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http://hdl.handle.net/10453/132740