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논문 기본 정보

자료유형
학술저널
저자정보
김지혜 (한국한의학연구원 한의기반연구부) 김종열 (한국한의학연구원 한의기반연구부) 전영주 (한국한의학연구원 한의기반연구부)
저널정보
대한동의생리학회 동의생리병리학회지 동의생리병리학회지 제29권 제5호
발행연도
2015.1
수록면
434 - 442 (9page)

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The purpose of this review was to survey the Korean Medicine related papers about women with primary dysmenorrhea in order to develop the clinical protocol of the diagnostic medical device. We searched the literature from 2000 through April 2015 using 5 online databases including Oriental Medicine Advanced Searching Integrated Sysptem (OASIS), Research Information Sharing Service (RISS), DataBase Periodical Information Academic (DBpia) and Korean Medical Database (KMBase). We selected papers to meet the following inclusion criteria: the papers involved dysmenorrhea (excluding secondary dysmenorrhea), published papers (excluding textbook, educational materials, conferences, etc.) and the papers matched search keywords or scope, but excluded papers to meet the following exclusion criteria: the duplicative papers, get out of the keywords and scope and not in english or korean language. Finally we found 17 papers and classified the papers according to the three search purposes which were diagnostic tools for evaluating the menstrual pain, dysmenorrhea' pattern identification and menstrual phase. Out of the 16 studies, 4 studies were focused on the diagnostic tools including Visual Analogue Scale (VAS), Measurement of Menstrual Pain (MMP) and etc. Other 5 studies were aimed at menstrual phase, and the other 7 studies were studied for pattern identification. The VAS has been widely used in research and in clinical practice for the detection of the menstrual pain. Treatments for patients with primary dysmenorrhea can be prescribed in consideration of their patterns of sasang constitution or body constitution as following: Qi stagnation-Blood deficiency, cold dampness, Qi deficiency-blood deficiency and liver-kidney deficiency etc. This results of research will be used as a useful material during plan a clinical study of primary dysmenorrhea and acquisition of good clinical data.

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