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
김가영 (국립정신건강센터 노인정신과)
저널정보
대한신경정신의학회 신경정신의학 신경정신의학 제61권 제1호
발행연도
2022.2
수록면
1 - 10 (10page)

이용수

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

초록· 키워드

오류제보하기
There are multitudinous obstacles in psychiatric inpatient treatment in the face of the coronavirus disease (COVID-19) pandemic. In addition, there are few guidelines or recommendations for the operation of psychiatric wards in Korea. This study reviewed the impact and changed patterns of psychiatric hospitalization due to the COVID-19 pandemic and recommendations and cases for psychiatric hospitalization. From keyword search of electronic databases, a total of 72 studies was eligible to review. It was reported that the diagnostic distribution of the patient population requiring psychiatric hospitalization before and after COVID-19 might change, and the severity of hospitalized patients might become higher after COVID-19. Although a causal relationship could not be established at that time, a confirmed case of COVID-19 appeared to impact psychiatric symptoms. 1) Consistent screening tests and symptom monitoring, 2) proper wearing of masks and personal protective equipment by patients and treatment staff, 3) distancing and limiting the number of inpatients, 4) limiting unnecessary visits and visits by outsiders, 5) close cooperation and linkage between treatment staff, and 6) referral, were consistently recommended. In addition, several works recommended non-face-to-face visits during hospitalization for patient recovery, and some attempts were made to provide virtual psychotherapy or prescriptions. It is necessary to flexibly operate the details by accommodating the needs of the mental health system for psychiatric inpatient treatment in the pandemic period. Future attempts are necessary to search through systematic reviews by integrating the reported studies.

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