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KMID : 1123920080220020453
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Korean Journal of Oriental Physiology and Pathology
2008 Volume.22 No. 2 p.453 ~ p.458
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Study on the Standardization of Korean Pattern Identification for Wind Stroke
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Lee Sun-Woo
Kang Byeong-Gab
Kang Baek-Gyu
Han Deok-Jin
Lee Jung-Wook
Shin Sun-Ho
Moon Byung-Soon
Lee In
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Abstract
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This study aimed to develop an evaluation reliability of Korean pattern identification for wind stroke. We studied 643 patients with stroke and made a list of registry for each of them. The present study analyzed 553 cases, in which the resident’s pattern identification agreed with the specialist’s one, and the cases included five differentiation pattern: the fire-heat pattern (114), the dampness-phlegm pattern (157), the static blood pattern (11), the Yin deficiency pattern (81), and the Qi deficiency pattern (190). This study showed that none of the Cronbach’s alpha reached 0.700, which is the general reliable level. The average Cronbach’s alpha of each symptoms was 0.353 for the dampness-phlegm pattern, 0.571 for the fire-heat pattern, 0.443 for the Qi deficiency pattern, 0.451 for the Yin deficiency pattern, and 0.302 for the static blood pattern. This suggests the possibility that each pattern identification could be coincided with other symptoms, and it also shows the limits of pattern identification of this study that narrows the symptoms of paralysis patients into only a single pattern. Continuous compliments and researches should be done referring to this matter. However, the internal consistency analysis of all the pattern identification showed that every Cronbach’s alpha were within the range of 0.670 to 0.703, and the Cronbach’s alpha of the whole symptoms was evaluated as 0.692, which makes the reliability of the pattern identification as itself almost satisfactory to the general reliable level, and therefore, significant. In the future, continuous clinical research to develope this pattern identification for wind stroke actually applicable to stroke patients needs to be made through accumulating more cases, improving the objectivity.
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KEYWORD
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stroke, pattern identification for wind stroke, reliability, Cronbach’s alpha
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