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

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

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.

Suggested Citation

  • Qiaoqin Wan & Weijiao Zhou & Zhaoyang Li & Shaomei Shang & Fang Yu, 2018. "Work engagement and its predictors in registered nurses: A cross‐sectional design," Nursing & Health Sciences, John Wiley & Sons, vol. 20(4), pages 415-421, December.
    • Handle: RePEc:wly:nuhsci:v:20:y:2018:i:4:p:415-421
    DOI: 10.1111/nhs.12424
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    References listed on IDEAS

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    1. Leone, Claudia & Bruyneel, Luk & Anderson, Janet E. & Murrells, Trevor & Dussault, Gilles & Henriques de Jesus, Élvio & Sermeus, Walter & Aiken, Linda & Rafferty, Anne Marie, 2015. "Work environment issues and intention-to-leave in Portuguese nurses: A cross-sectional study," Health Policy, Elsevier, vol. 119(12), pages 1584-1592.
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    Cited by:

    1. Juan Gómez-Salgado & Yolanda Navarro-Abal & María José López-López & Macarena Romero-Martín & José Antonio Climent-Rodríguez, 2019. "Engagement, Passion and Meaning of Work as Modulating Variables in Nursing: A Theoretical Analysis," IJERPH, MDPI, vol. 16(1), pages 1-13, January.

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