메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
차재훈 (경희대학교) 김윤범 (경희대학교) 신윤진 (경희대학교) 김진명 (경희대학교)
저널정보
대한한의학회 대한한의학회지 대한한의학회지 제30권 제1호
발행연도
2009.1
수록면
76 - 82 (7page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Objectives: Ryodoraku diagnosis has been used frequently since Nakatani invented it in 1950. There are many papers about how to use Ryodoraku diagnosis in many diseases, but there are no studies about the repeatability and reproducibility of the Ryodoraku score. The aim of this study was to investigate the repeatability and reproducibility of the Ryodoraku score.
Materials and Methods: There were four examiners who trained for more than a month, and the number of subjects was twenty. Each of the examiners made Ryodoraku diagnosis for ten subjects three times. We analyzed data by SPSS, used Friedman test, Wilcoxon signer rank test and Spearman correlation test.
Results:
1. There was no significant difference between first, second, and third Ryodoraku score by Friedman test in examiners A, B, C, and D, so there was repeatability.
2. There was very high correlation on first, second, third Ryodoraku score by Spearman correlation test in examiners A, B, C, and D, so there was repeatability.
3. There was high ICC among Ryodoraku score by examiners B, C, and D, so there was reproducibility.
4. After observing four examiners" Ryodoraku diagnoses, we could see the discord of measure points, the amount of hydration before examination, the amount of pressure, examination time, or positions of subjects diagnosed with Ryodoraku incorrectly.
Conclusion: There is repeatability and reproducibility of Ryodoraku diagnosis. However, it is still important that one examiner carry out the diagnosis if possible. When there are two or more examiners, they should train extensively and follow manuals.

목차

서론
대상 및 연구 방법
결과
고찰
결론
참고문헌

참고문헌 (15)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2014-519-000284307