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
강경아 (삼육대학교 간호학과)
저널정보
한국아동간호학회 Child Health Nursing Research Child health nursing research : CHNR 제4권 제1호
발행연도
1998.1
수록면
45 - 59 (15page)

이용수

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

초록· 키워드

오류제보하기
Suffering is a human burden that may not be truly avoidable. In order to put that view in perspective we must examine suffering in a form as isolated from self-inflicted behavior as possible. The suffering of a child is one such example. The purpose of this study is to understand the meaning of suffering in the teenager and is to analyze difference of suffering in children and adult. The subjects of this study were 6 childrens (12year-17year) including in-patients and out-patients of a general hospital who were diagnosed as having cancer. The data was collected from October 10, 1996 to April 15, 1997. Qualitative research methods of in-depth interview and participant observation were used for data collection. Data analysis progressed according to the fieldwork phases suggested by the Hybrid Model. According to the results of the study, the meaning of suffering in the teenager can be described as follows : Suffering is an inevitable experience of all human beings. When each child experiences pain and destroying child-adult relationship, suffering in which threaten one's personal integrity is perceived differently among each child depending on their personal inner factors, one's significant others, exterior circumstances and stimuli. Suffering brings severe and unendurable distress which accompany anguish, depression, anxiety and fear. This findings provide data for new insights of suffering. When caring for teenager who experience suffering, nurses need to consider the influence of suffering. Moreover, appropriate nursing interventions aimed at relieving suffering need to be developed.

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