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

• Published in: Journal of traditional Chinese medicine Vol. 34; no. 3; pp. 369 - 372
• Main Authors: Ko, Mimi, Lee, Juah, Yun, Kyungjin, You, Sooseong, Lee, Myeongsoo
• Format: Journal Article
• Language: English
• Published: China 01.06.2014
• Subjects: Adult; Data Collection; Diagnosis, Differential; Female; Humans; Male; Medicine, Korean Traditional; Middle Aged; Perception; Physicians - psychology; Practice Patterns, Physicians' - statistics & numerical data; Republic of Korea; Surveys and Questionnaires; Young Adult; Republic of Korea
• ISSN: 0255-2922
• DOI: 10.1016/S0254-6272(14)60104-7

To survey assesses the perception of pattern identification (PI) diagnosis of Traditional Medicine (TM) by Korean medical doctors (KMDs). 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. 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. 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.