ORCID Profile
0000-0002-3877-1914
Current Organisations
The University of Hong Kong
,
Nanyang Technological University
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Publisher: JMIR Publications Inc.
Date: 09-07-2020
DOI: 10.2196/16018
Abstract: There is a growing trend in the use of mobile health (mHealth) technologies in traditional Chinese medicine (TCM) and telemedicine, especially during the coronavirus disease (COVID-19) outbreak. Tongue diagnosis is an important component of TCM, but also plays a role in Western medicine, for ex le in dermatology. However, the procedure of obtaining tongue images has not been standardized and the reliability of tongue diagnosis by smartphone tongue images has yet to be evaluated. The first objective of this study was to develop an operating classification scheme for tongue coating diagnosis. The second and main objective of this study was to determine the intra-rater and inter-rater reliability of tongue coating diagnosis using the operating classification scheme. An operating classification scheme for tongue coating was developed using a stepwise approach and a quasi-Delphi method. First, tongue images (n=2023) were analyzed by 2 groups of assessors to develop the operating classification scheme for tongue coating diagnosis. Based on clinicians’ (n=17) own interpretations as well as their use of the operating classification scheme, the results of tongue diagnosis on a representative tongue image set (n=24) were compared. After gathering consensus for the operating classification scheme, the clinicians were instructed to use the scheme to assess tongue features of their patients under direct visual inspection. At the same time, the clinicians took tongue images of the patients with smartphones and assessed tongue features observed in the smartphone image using the same classification scheme. The intra-rater agreements of these two assessments were calculated to determine which features of tongue coating were better retained by the image. Using the finalized operating classification scheme, clinicians in the study group assessed representative tongue images (n=24) that they had taken, and the intra-rater and inter-rater reliability of their assessments was evaluated. Intra-rater agreement between direct subject inspection and tongue image inspection was good to very good (Cohen κ range 0.69-1.0). Additionally, when comparing the assessment of tongue images on different days, intra-rater reliability was good to very good (κ range 0.7-1.0), except for the color of the tongue body (κ=0.22) and slippery tongue fur (κ=0.1). Inter-rater reliability was moderate for tongue coating (Gwet AC2 range 0.49-0.55), and fair for color and other features of the tongue body (Gwet AC2=0.34). Taken together, our study has shown that tongue images collected via smartphone contain some reliable features, including tongue coating, that can be used in mHealth analysis. Our findings thus support the use of smartphones in telemedicine for detecting changes in tongue coating.
Publisher: Springer Science and Business Media LLC
Date: 23-06-2016
DOI: 10.1007/S11655-016-2586-Y
Abstract: Stomach pain in Chinese medicine (CM) is a very common disorder in clinical practice and it has been listed as one of the pilot three conditions in Hong Kong to develop evidence-based CM clinical practice guidelines (CM CPGs). The aim of this stomach Pain CPG is to summarize the treatment methods of stomach pain with CM and evaluate reasonably, then to guide local licensed CM practitioners and provide beneficial reference for social medical decision makers and patients. In this manuscript, we defined stomach pain in CM and the category of chronic gastritis in Western medicine. The clinical manifestation, CM pattern classification, and CM intervention including herbal medicine treatment based on pattern differentiation, symptomatic treatment, acupuncture treatment, regulation and nursing were illustrated.
Publisher: Springer Science and Business Media LLC
Date: 18-06-2014
DOI: 10.1007/S11655-014-1834-2
Abstract: To systematically review the clinical practice guidelines (CPGs) for ischemic stroke in Chinese medicine (CM) with the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument. CM CPGs for ischemic stroke were searched in 5 online databases and hand-searches in CPGrelated handbooks published from January 1990 to December 2012. The CPGs were categorized into evidence based (EB) guideline, consensus based with no explicit consideration of evidence based (CB-EB) guideline and consensus based (CB) guideline according to the development method. Three reviewers independently appraised the CPGs based on AGREE II instrument, and compared the CPGs' recommendations on CM pattern classification and treatment. Five CM CPGs for ischemic stroke were identified and included. Among them, one CPG was EB guideline, two were CB guidelines and two were CB-EB guidelines. The quality score of the EB guideline was higher than those of the CB-EB and CB guidelines. Five CM patterns in the CPGs were recommended in the EB CPG. The comprehensive protocol of integrative Chinese and Western medicine recommended in the EB CPG was mostly recommended for ischemic stroke in the CPGs. The recommendations varied based on the CM patterns. The quality of EB CPG was higher than those of CB and CB-EB CPGs in CM for ischemic stroke and integrative approaches were included in CPGs as major interventions.
Publisher: JMIR Publications Inc.
Date: 27-08-2019
Abstract: here is a growing trend in the use of mobile health (mHealth) technologies in traditional Chinese medicine (TCM) and telemedicine, especially during the coronavirus disease (COVID-19) outbreak. Tongue diagnosis is an important component of TCM, but also plays a role in Western medicine, for ex le in dermatology. However, the procedure of obtaining tongue images has not been standardized and the reliability of tongue diagnosis by smartphone tongue images has yet to be evaluated. he first objective of this study was to develop an operating classification scheme for tongue coating diagnosis. The second and main objective of this study was to determine the intra-rater and inter-rater reliability of tongue coating diagnosis using the operating classification scheme. n operating classification scheme for tongue coating was developed using a stepwise approach and a quasi-Delphi method. First, tongue images (n=2023) were analyzed by 2 groups of assessors to develop the operating classification scheme for tongue coating diagnosis. Based on clinicians’ (n=17) own interpretations as well as their use of the operating classification scheme, the results of tongue diagnosis on a representative tongue image set (n=24) were compared. After gathering consensus for the operating classification scheme, the clinicians were instructed to use the scheme to assess tongue features of their patients under direct visual inspection. At the same time, the clinicians took tongue images of the patients with smartphones and assessed tongue features observed in the smartphone image using the same classification scheme. The intra-rater agreements of these two assessments were calculated to determine which features of tongue coating were better retained by the image. Using the finalized operating classification scheme, clinicians in the study group assessed representative tongue images (n=24) that they had taken, and the intra-rater and inter-rater reliability of their assessments was evaluated. ntra-rater agreement between direct subject inspection and tongue image inspection was good to very good (Cohen κ range 0.69-1.0). Additionally, when comparing the assessment of tongue images on different days, intra-rater reliability was good to very good (κ range 0.7-1.0), except for the color of the tongue body (κ=0.22) and slippery tongue fur (κ=0.1). Inter-rater reliability was moderate for tongue coating (Gwet AC2 range 0.49-0.55), and fair for color and other features of the tongue body (Gwet AC2=0.34). aken together, our study has shown that tongue images collected via smartphone contain some reliable features, including tongue coating, that can be used in mHealth analysis. Our findings thus support the use of smartphones in telemedicine for detecting changes in tongue coating.
Publisher: Springer Science and Business Media LLC
Date: 25-07-2205
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/482706
Abstract: We presented a study protocol of developing Chinese medicine clinical practice guidelines for three common diseases in Hong Kong, including insomnia, chronic gastritis, and cerebral infarction. This research project will be conducted in three phases. First phase is the preparation stage which consists of the establishment of steering committee and panel. Second phase involves 6 steps, which are searching and identifying evidence, text mining process, Delphi survey, synthesizing of data, consensus conference, and drafting guidelines. In this phase, text mining technique, evidence-based method, and formal consensus method are combined to get consolidated supporting data as the source of CM CPGs. The final phase comprised external reviews, dissemination, and updating. The outputs from this project will provide three CM CPGs for insomnia, chronic gastritis, and cerebral infarction for Hong Kong local use.
Location: Hong Kong
No related grants have been discovered for Linda Zhong.