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Work engagement and its predictors in registered nurses: A cross‐sectional design
Author(s) -
Wan Qiaoqin,
Zhou Weijiao,
Li Zhaoyang,
Shang Shaomei,
Yu Fang
Publication year - 2018
Publication title -
nursing and health sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.563
H-Index - 47
eISSN - 1442-2018
pISSN - 1441-0745
DOI - 10.1111/nhs.12424
Subject(s) - work engagement , scale (ratio) , cross sectional study , nursing , work (physics) , psychology , employee engagement , descriptive statistics , health care , medicine , public relations , mechanical engineering , physics , pathology , quantum mechanics , political science , engineering , economics , economic growth , statistics , mathematics
Nurses are key staff members of health‐care organizations. Nurse engagement directly influences quality of care and organizational performance. The purpose of the present study was to understand the state of work engagement and explore its predictors among registered nurses in China by using a descriptive, cross‐sectional survey design ( n = 1065). Work engagement was measured with the Chinese version of the Utrecht Work Engagement Scale. The results showed that the average work engagement of Chinese nurses was 3.54 (standard deviation = 1.49), and that nurses' age (β = .16, t = 5.32), job characteristics (β = .33, t = 9.43), and practice environment (β = .23, t = 6.59) were significant predictors of work engagement. Thus, nurse leaders should be encouraged to shape motivational job characteristics and create supportive practice environment so as to increase nurses' work engagement.