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Predictors of job burnout among Chinese nurses: a systematic review based on big data analysis
Mengjie Xia1,2, Junqiang Wang3, Dongjun Bi4
1School of Nursing, Faculty of Medicine Bioscience & Nursing, MAHSA University, Jenjarom, Malaysia.
Abstract:
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.
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