Predictors of job burnout among Chinese nurses: a systematic review based on big data analysis.

Mengjie Xia,Junqiang Wang, Dongjun Bi, Caidi He,Huiping Mao, Xiaohong Liu,Lili Feng,Jing Luo, Fang Huang,Rusli Nordin, Zainooriah Dato' Hj Zakaria

Biotechnology & genetic engineering reviews(2023)

引用 0|浏览1
暂无评分
摘要
Job burnout is an occupational hazard induced by prolonged exposure to excessive work-related stress -a state of physical or emotional exhaustion that also involves a sense of reduced accomplishment and loss of personal identity. Knowledge jobs involve many health-promoting features, but stress and burnout may be caused by the rapid increase in the knowledge intensity of work, new job demands, and emerging new professional subcultures emphasizing the excessive commitment to work. Although there are studies on job burnout and predictors among nurses worldwide, evidence specific to Chinese nurses is lacking. The purpose of this review is to synthesize current research on predictors related to burnout affecting Chinese nurses. We searched the Chinese databases including National Knowledge Infrastructure (CNKI), WanFang, China Science and Technology Journal Database, and Chinese Biological Medical Database (CBM); and international databases including Cochrane Library, PubMed, EMBASE, and Web of Science published up to 30th August 2022. The 125 studies identified assessed a range of predictors of job burnout. The results showed good working relationships and internally controlled individuals were found to be predictive of job burnout. Moreover, numerous predictors produced contradictory data. There are still challenges with how to systematically operationalize such a complicated phenomenon to effectively prevent or reduce job burnout.
更多
查看译文
关键词
China,Job burnout,nurses,predictors
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要