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

논문 기본 정보

자료유형
학술저널
저자정보
선종인 (경희대학교 한의과대학 침구학교실) 백용현 (경희대학교 한의과대학 침구학교실) 이상훈 (경희대학교 한의과대학 침구학교실) 이재동 (경희대학교 한의과대학 침구학교실)
저널정보
대한침구의학회 대한침구의학회지 Journal of acupuncture research 제27권 제1호
발행연도
2010.1
수록면
109 - 116 (8page)

이용수

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

초록· 키워드

오류제보하기
Objectives : Since The Journal of Korean Acupuncture and Moxibustion Society(JKAMS) started publishing in 1984, randomised controlled trials(RCTs) and non-randomised clinical studies(NRSs) consistently have increased in quality and quantity. There has been no study on quality assessment of NRSs. Thus, this study evaluted non-randomised comparative clinical trials in the JKAMS to assess the quantity and quality. Methods : Upon extracting NRSs for assessing the intervention effects from all the articles published in the JKAMS from 1984 to 2009, assessments were made on methodological index for non-randomised studies(MINORS). Also, the analysis were made upon the proportion of non-randomised comparative clinical trials within original articles. The mean scores by research methods and years, and total scores and mean scores of yearly research methods were analyzed. Results : A total of 44 trials on non-randomised comparative clinical trials were selected. In 1980s, 4.3% of the total selected original articles, in 1990s, 4.1%, and in 2000s 14.2% were NRSs. According to the research designs, the mean scores of MINORS were Case-control study 18.3, Controlled before and after 18.5, Quasi randomised trial 18.5, and non randomised trial 17.9(out of 24), respectively. Cross-sectional study was the most frequently used(41.9%). Conclusion : Although NRSs consistently increased in quantity, the assessed mean scores were low and most articles used Cross-sectional study. Thus, there should be studied using appropriate research methods in the future.

목차

등록된 정보가 없습니다.

참고문헌 (0)

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