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http://dx.doi.org/10.15204/jkobgy.2019.32.2.029

A Clinical Study on the Pattern-Specific Cut-Point for the Pattern Identification Diagnostic Tool for Climacteric and Postmenopausal Syndrome  

Lee, In-Seon (Dept. of OB & GY, College of Korean Medicine, Dong-Eui University)
Kim, Jong-Won (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Dong-Eui University)
Jeon, Soo-Hyung (Dept. of Sasang Constitutional Medicine, College of Korean Medicine, Dong-Eui University)
Chi, Gyoo-Yong (Dept. of Pathology, College of Korean Medicine, Dong-Eui University)
Kang, Chang-Wan (College of Production Information Technology Engineering Major, Dong-Eui University)
Publication Information
The Journal of Korean Obstetrics and Gynecology / v.32, no.2, 2019 , pp. 29-49 More about this Journal
Abstract
Objectives: This study was a methodological study to verify the reliability and validity and to make a diagnosis of a diagnostic tool for climacteric and postmenopausal syndrome pattern identification (CaPSPI). Methods: This study was conducted from June 1, 2018 to October 18, 2018 with ${{\bigcirc}{\bigcirc}}$ University Korean Medicine Hospital IRB's approval (2018-3). To make a diagnosis using CaPSPI, we decided the cut-points for the tool. Three professors of ${{\bigcirc}{\bigcirc}}$Korean Medical University conducted pattern identification diagnosis. The result is marked from 0 to 3, 0 is 'No', 1 is 'Slightly Yes', 2 is 'Yes' and 3 is 'Very Yes'. And if two or more professors' diagnoses are the same, we took the diagnoses as a diagnostic criteria. The decision of pattern by three experts converted to 0-1 scores in two ways. In "method 1", if the diagnosis was zero points, the score was 0 (have no such identification), and the rest was 1 (have such identification). In "method 2", if the diagnosis was zero or 1 point, the score was 0, and the rest was 1. After that, intraclass correlation was calculated for experts agreement. And logistic regression was conducted. A response variable was the results of the experts' diagnosis and an explanatory variable was the results of the pattern identification diagnostic tool. Results: The diagnosis of the three experts showed excellent concordance of more than 0.794 and showed a significant correlation with the diagnostic tool. Both 'Method 1' and 'Method 2' showed statistically significant effects with the diagnosis of 3 experts and the results of the diagnostic tool. The frequency of cumulative pattern identification diagnosis in 'Method 1' and 'Method 2' were found to be 578 occasions and 203 occasions, respectively. The average number of pattern held by participants in 'Method 1' and 'Method 2' were found to be 5.26 and 1.85, respectively. In both "Method 1" and "Method 2," the yield frequency of liver qi depression was the highest, and the frequency of kidney yin deficiency and liver-kidney yin deficiency was relatively high. Conclusions: Based on the above results, it is thought that, in diagnosis using CaPSPI of menopausal women, 'method 1' could be used for the health diagnosis and prevention, 'method 2' could be used for the pattern diagnosis. On the conclusion, CaPSPI is thought to be available for pattern diagnosis of menopause women.
Keywords
Climacteric Syndrome; Pattern Identification Questionnaire; Intraclass Correlation;
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Times Cited By KSCI : 7  (Citation Analysis)
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