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
Ahn Song Ii (Graduate School Yonsei University College of Medicine) Lee Won (Department of Nursing Chung-Ang University) Song Dong Ho (Department of Psychiatry and Institute of Behavioral Science in Medicine Yonsei University College)
저널정보
대한신경정신의학회 PSYCHIATRY INVESTIGATION PSYCHIATRY INVESTIGATION 제17권 제9호
발행연도
2020.1
수록면
865 - 870 (6page)

이용수

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

초록· 키워드

오류제보하기
Objective Medical accidents have resulted in actual harm for patients, been costly for health care system, and diminished trust for both patients and practitioners. The present study analyzed malpractice claims related to accidents in psychiatric inpatient units.Methods This study analyzed defendants, cases and plaintiffs or patients characteristics, degrees of injury, and types of accidents in 85 civil malpractice suits filed from 2005 to 2015 with a focus on the methods and locations of suicides.Results Most defendants were psychiatrists (n=43). Of the 85 cases, 56 (65.9%) were decided in favor of the plaintiff, most commonly on the grounds of negligence and violation of sound facility management principles. The most common diagnosis of patients was schizophrenia (n=31). The damages were deaths in 52 cases and injuries or other damages in the remaining 33 cases. The most common accident was suicide (n=28), followed by escape attempts (n=15). The most common suicide method was hanging (n=21), which was usually committed in the private room using objects like door handles.Conclusion To reduce medical accidents, medical staff should monitor high-risk patients closely and constantly. Sufficient numbers of well-trained personnel are required to meet this standard. Reducing environmental hazards such as removing anchor points and installing door locking systems will improve patient safety.

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