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
최성열 (가천대학교 한의과대학 한방신경정신과) 조준희 (부산대한방병원 한방신경정신과) 임정화 (부산대학교 한의학전문대학원 한방신경정신과) 김보경 (부산대학교 한의학전문대학원 한방신경정신과)
저널정보
대한한방신경정신과학회 동의신경정신과학회지 동의신경정신과학회지 제32권 제3호
발행연도
2021.9
수록면
141 - 154 (14page)
DOI
10.7231/jon.2021.32.3.141

이용수

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

초록· 키워드

오류제보하기
Objectives: Pharmacopuncture is a Korean medicine treatment that combines acupuncture and herbal medicines. The aim of this study was to investigate the current usage status of pharmacopuncture for insomnia among Korean medicine doctors (KMDs). Methods: We conducted a self-reporting online survey targeting KMDs from February 23 to March 15, 2021 with cooperation of the Association of Korean Medicine. Responses of 957 KMDs were analyzed. Results: Types of pharmacopuncture mainly used in treatment for insomnia were placenta pharmacopuncture and Hwangryunhaedok-tang pharmacopuncture. Cephalic and facial region were preferred as the treatment site. For one treatment, total usage of pharmacopuncture was more than 0.5 cc but less than 1 cc. Among respondents, the largest number of respondents thought that clinical experience and patient symptoms were important as selection criteria of acupoints using Pharmacopuncture for insomnia. Average treatment duration of using Pharmacopuncture for insmonia was more than 4 weeks. Most KMDs preferred treatment for one to four times a week regarding the treatment cycle. The use of Pharmacopuncture for insomnia was recognized as having a good effect, although other KMDs were concerned about the insufficient evidence and the high cost due to non-reimbursement of pharmacopuncture therapy. Conclusions: In order to activate pharmacopuncture treatment for insomnia, it is necessary to secure effectiveness and safety through basic research, create evidence through clinical research, and reduce costs for patients.

목차

등록된 정보가 없습니다.

참고문헌 (37)

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