인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study was to identify the factors that influence the burnout of clinical nurses. Methods: Subjects were 279 nurses in 3 university hospitals at Seoul and Gyunggi province. Data were collected with self-administered questionnaires and analyzed using SPSS 16.0 by applying t-test, ANOVA, Pearson correlation, and Stepwise multiple regression. Result: There are significant differences between burnout and demographic characteristics, such as, age, marital status, education level, clinical career, and position. All variables except emotional labor were negatively correlated with burnout. The emotional labor was positively correlated with burnout. Job satisfaction, emotional labor, self-efficacy, and age had significant influence on nurses′ burnout, The explained variances for burnout was 54.8% and job satisfaction was the most significant factor of burnout of nurses. Conclusion: Emotional labor is found to be a new factor that influences burnout. Therefore, it is necessary to establish new organizational culture through emotional education programs at the organizational level to reduce nurses` emotional labor.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2016-512-002751695
