Predictors of Burnout Among Nurses in Taiwan

doi:10.1007/s10597-014-9818-4

CNU IR > College of Smart Living > Dept. of Hospital and Health (including master's program) > Periodical Articles > Item 310902800/29656

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/29656

Title:	Predictors of Burnout Among Nurses in Taiwan
Authors:	Lee, Huan-Fang Yen, Miaofen Fetzer, Susan Chien, Tsair Wei
Contributors:	醫務管理系(所)
Keywords:	Burnout Nurse Predictors
Date:	2015-08
Issue Date:	2016-04-19 19:03:31 (UTC+8)
Publisher:	Springer
Abstract:	Nurse burnout is a crucial issue for health care professionals and impacts nurse turnover and nursing shortages. Individual and situational factors are related to nurse burnout with predictors of burnout differing among cultures and health care systems. The predictors of nurse burnout in Asia, particularly Taiwan, are unknown. The purpose of this study was to investigate the predictors of burnout among a national sample of nurses in Taiwan. A secondary data analysis of a nationwide database investigated the predictors of burnout among 1,846 nurses in Taiwan. Hierarchical regression analysis determined the relationship between predictors and burnout. Predictors of Taiwanese nurse burnout were age, physical/psychological symptoms, job satisfaction, work engagement, and work environment. The most significant predictors were physical/psychological symptoms and work engagement. The variables explained 35, 39, and 18 % of the emotional exhaustion, personal accomplishment, and depersonalization variance for 54 % of the total variance of burnout. Individual characteristics and nurse self-awareness, especially work, engagement can impact Taiwanese nurses' burnout. Nurse burnout predictors provide administrators with information to develop strategies including education programs and support services to reduce nurse burnout.
Relation:	Community Mental Health Journal, v.51 n.6, pp.733-737
Appears in Collections:	[Dept. of Hospital and Health (including master's program)] Periodical Articles

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