Literature DB >> 24992767

Perception of pattern identification in traditional medicine: a survey of Korean medical practitioners.

Mimi Ko, Juah Lee, Kyungjin Yun, Sooseong You, Myeongsoo Lee.   

Abstract

OBJECTIVE: To survey assesses the perception of pattern identification (PI) diagnosis of Traditional Medicine (TM) by Korean medical doctors (KMDs).
METHODS: A total of 14,485 KMDs affiliated with the Association of Korean Medicine were sent surveys via email, and 1646 (11.1%) responded to the questionnaire on their perception of PI diagnosis.
RESULTS: Of the 1646 respondents, more than ninety percent (1562, 94.9%) reported that they treated patients using PI. The most critical problem with PI diagnosis was the lack of objective diagnostic indicators (561, 34.1%). Ninety percent had issues diagnosing patients because of different diagnoses between KMDs (1491, 90.5% ). The majority of respondents thought herbal medicine was most related to PI (1528, 92.8%). Half of the respondents answered that PI of Ba Gang was the most commonly used PI system. Participants reported that it was most important to study standardisation of PI diagnosis and to develop standardised PI diagnoses using the classification system of the Korean Standard Classification of Diseases. The foremost PI type that physicians thought should be included in standardisation and objectification of PI ofTKM was the PI of Ba Gang.
CONCLUSION: Our data suggest that we should focus on the standardisation of PI diagnosis and PI of Ba Gang in future research on PI diagnosis in TM. However, we cannot completely discount the possibility that a biased selection of subjects and a low response rate limit the generalisability of the findings.

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Year:  2014        PMID: 24992767     DOI: 10.1016/s0254-6272(14)60104-7

Source DB:  PubMed          Journal:  J Tradit Chin Med        ISSN: 0255-2922            Impact factor:   0.848


  7 in total

1.  Analysis of Herbal Medicine Prescriptions for Patients in An Academic Korean Medical Hospital: A Cross Sectional Study of Electronic Medical Records (2010-2013).

Authors:  Byung-Wook Lee; Hyeon-Yeop Lee; Kwang-Ho Heo; Hyun-Woo Cho; Man-Suk Hwang; In Heo; Byung-Cheul Shin; Eui-Hyoung Hwang
Journal:  Chin J Integr Med       Date:  2017-10-06       Impact factor: 1.978

2.  The Study of Misclassification Probability in Discriminant Model of Pattern Identification for Stroke.

Authors:  Mi Mi Ko; Honggie Kim
Journal:  Evid Based Complement Alternat Med       Date:  2016-03-10       Impact factor: 2.629

3.  Stroke in Traditional Korean Medicine: A Nine-Year Multicentre Community-Based Study in South Korea.

Authors:  Mi Mi Ko; Ju Ah Lee; Min Ho Cha; Byoung-Kab Kang; Myeong Soo Lee
Journal:  Sci Rep       Date:  2016-06-22       Impact factor: 4.379

4.  The Needs and Priorities for Government Grants for Traditional Korean Medicine: Comparing the Public and Traditional Korean Medicine Doctors.

Authors:  Min Kyung Hyun
Journal:  Evid Based Complement Alternat Med       Date:  2016-11-23       Impact factor: 2.629

5.  Perception of cold and heat pattern identification in diseases: a survey of Korean medicine doctors.

Authors:  Kwang-Ho Bae; Youngseop Lee; Ki-Hyun Park; Youngheum Yoon; Sujeong Mun; Siwoo Lee
Journal:  Integr Med Res       Date:  2016-11-18

6.  A survey of Korean medicine doctors' clinical practice patterns for autism spectrum disorder: preliminary research for clinical practice guidelines.

Authors:  Jihong Lee; Sun Haeng Lee; Boram Lee; In Jun Yang; Gyu Tae Chang
Journal:  BMC Complement Altern Med       Date:  2018-03-13       Impact factor: 3.659

7.  Pattern identification of lung cancer patients based on body constitution questionnaires (BCQ) and glycoproteomics for precision medicine.

Authors:  Wonryeon Cho; Ji Hye Kim; Miseon Jeong; Myeong-Sun Kim; Jinwook Lee; Hyoungwoo Son; Chunhoo Cheon; Sunju Park; Seong-Gyu Ko
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

  7 in total

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