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Tytuł pozycji:

Effects of organisational justice, work engagement and nurses' perception of care quality on turnover intention among newly licensed registered nurses: A structural equation modelling approach.

Tytuł :
Effects of organisational justice, work engagement and nurses' perception of care quality on turnover intention among newly licensed registered nurses: A structural equation modelling approach.
Autorzy :
Cao T; School of Nursing, Peking University, Beijing, China.
Huang X; School of Nursing, Peking University, Beijing, China.
Wang L; School of Nursing, Peking University, Beijing, China.
Li B; School of Nursing, Peking University, Beijing, China.
Dong X; School of Nursing, Peking University, Beijing, China.
Lu H; School of Nursing, Peking University, Beijing, China.
Wan Q; School of Nursing, Peking University, Beijing, China.
Shang S; School of Nursing, Peking University, Beijing, China.
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Źródło :
Journal of clinical nursing [J Clin Nurs] 2020 Jul; Vol. 29 (13-14), pp. 2626-2637. Date of Electronic Publication: 2020 Apr 27.
Typ publikacji :
Journal Article; Multicenter Study; Observational Study
Język :
English
Imprint Name(s) :
Original Publication: Oxford ; Boston : Blackwell Scientific Publications, c1992-
MeSH Terms :
Attitude of Health Personnel*
Organizational Culture*
Work Engagement*
Nursing Staff, Hospital/*psychology
Adult ; Beijing ; Cross-Sectional Studies ; Female ; Humans ; Intention ; Latent Class Analysis ; Male ; Personnel Turnover ; Quality of Health Care/standards ; Surveys and Questionnaires ; Young Adult
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Contributed Indexing :
Keywords: newly licensed registered nurses; nurses’ perception of care quality; organisational justice; structural equation modelling; turnover intention; work engagement
Entry Date(s) :
Date Created: 20200413 Date Completed: 20200824 Latest Revision: 20200824
Update Code :
20201023
DOI :
10.1111/jocn.15285
PMID :
32279372
Czasopismo naukowe
Aims and Objectives: To investigate turnover intention among newly licensed registered nurses and to clarify the impact pathways of organisational justice, work engagement and nurses' perception of care quality on turnover intention.
Background: Nurse shortage is an ongoing and urgent issue worldwide, in which nurse turnover could exacerbate the situation. Newly licensed registered nurses will become the main nursing workforce in the future; however, previous studies have not revealed the specific reasons underlying their turnover intentions.
Design: A descriptive cross-sectional design.
Methods: A total of 569 newly licensed registered nurses undertaking direct care were recruited from thirteen hospitals from October to November 2018 across Beijing, China. Based on the job demands-resources model, we advanced a hypothetical model, linking the paths between organisational justice, work engagement, nurses' perception of care quality and turnover intention. Structural equation modelling was used to examine the hypothetical model. The study adhered to the STROBE statement for observational studies.
Results: In total, 22.3% of newly licensed registered nurses had a high turnover intention. The final model had an acceptable fit and could explain 58% of the variance in turnover intention. The organisational justice was directly related to high work engagement, great nurses' perception of care quality and low turnover intention. Additionally, organisational justice also had indirect effects on great nurses' perception of care quality and low turnover intention, which were partially mediated by work engagement. However, the effect of nurses' perception of care quality on turnover intention was not significant.
Conclusion: The improvement of organisational justice could enhance work engagement, and nurses' perception of care quality, and reduce turnover intention, which is crucial to improving care quality and addressing the shortage of nurses.
Relevance to Clinical Practice: This study provides evidence for policymakers and hospital administrators to take targeted measures to enhance work engagement, foster high-quality care and create better defences against losing nurses.
(© 2020 John Wiley & Sons Ltd.)

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