ArticleFrontiers in psychology2025
The mediating role of psychological contract breach in the relationship between illegitimate tasks and turnover intention among Chinese nurses: a cross-sectional study.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Nurse shortage and workforce turnover have become critical issues in the global public health sector, recognized internationally as priority concerns. This challenge is particularly prominent in China, where the dual pressures of nurse shortage and high turnover are more acute. Optimizing nursing management processes and creating a highly supportive work environment can effectively alleviate the psychological resource depletion and reduced job satisfaction caused by stress among nurses, thereby lowering their turnover intention. However, research on how illegitimate tasks influence the turnover intention of Chinese nurses remains scarce, and the mediating mechanism of psychological contract breach in this relationship lacks sufficient context-specific verification. Objective: This study aims to explore the direct relationships among illegitimate tasks, psychological contract breach, and turnover intention among Chinese clinical nurses, and specifically examine the mediating role of psychological contract breach in the relationship between illegitimate tasks and turnover intention among nurses. Methods: A cross-sectional study design was employed. From March 2024 to May 2025, a convenience sampling method was used to select 516 clinical nurses from Sichuan Province for a survey. The survey included a demographic information questionnaire, the Illegitimate Tasks Scale, the Psychological Contract Breach Scale, and the Turnover Intention Scale. Results: The results showed that the score of turnover intention among clinical nurses was (13.14 ± 4.15), with 71 nurses (13.7%) having a very high turnover intention. The score of psychological contract breach was (55.79 ± 15.50), and the score of illegitimate tasks was (29.06 ± 8.69). Correlation analysis revealed that the total score of illegitimate tasks and its dimensions were positively correlated with the total score of psychological contract breach and its dimensions ( Conclusion: This study confirms that psychological contract breach mediates the relationship between illegitimate tasks and turnover intention among nurses. Reducing psychological contract breach through interventions that decrease illegitimate tasks can effectively lower nurses' turnover intention. Specific measures include creating a supportive work environment, establishing a sound communication mechanism, and fostering a sense of professional mission.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.