Work engagement and its predictors in registered nurses: A cross-sectional design

Qiaoqin Wan, Weijiao Zhou, Zhaoyang Li, Shaomei Shang, Fang Yu

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)415-421
Number of pages7
JournalNursing and Health Sciences
Volume20
Issue number4
DOIs
StatePublished - Dec 2018
Externally publishedYes

Keywords

  • China
  • job characteristics, nursing, work engagement, work environment

ASJC Scopus subject areas

  • General Nursing

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