Background
Nurses face substantial career challenges arising from global pandemics, economic crises, and their roles in conflict-ridden areas. In this context, the rights of nurses pertaining to decent work, such as freedom, fairness, safety, and dignity, are not adequately safeguarded. This study examines decent work status among Chinese nurses and its links to demographics, work engagement, and turnover intention.
Methods
A cross-sectional study design was used following STROBE guidelines. Through a convenient sampling method, a total of 476 nurses were surveyed. These participants were drawn from three esteemed tertiary Grade A hospitals in Hangzhou, with data collection spanning from June to August in 2023. We used a comprehensive set of assessment instruments, encompassing an evaluation of demographic characteristics, the Decent Work Perceptions Scale (DWPS), the Utrecht Work Engagement Scale (UEWS), and turnover intention questionnaire. Bootstrapping procedures were used to ensure the robustness and reliability of the model.
Results
The study revealed that nurses' perceptions of decent work significantly impacted work engagement (β = 0.603, p < 0.001) and turnover intention (β = -0.275, p < 0.001). Work engagement operated as a mediator between decent work and turnover intention, decreasing the likelihood of nurses leaving their positions (β = -0.062, p < 0.001). Factors such as age, years of working experience, professional title, job category, and attendance at professional conferences significantly influenced nurses' perceptions of decent work (all p < 0.05).
Conclusions
This study examines factors affecting decent work among nurses and explores its connection with work engagement and the intention to leave. Despite limitations (sample, social desirability bias), the study offers valuable insights for nursing practice. This suggests managers improve decent work for young nurses through rational shift schedules and continuous education. Policymakers should consider adjusting nursing policies for better employment conditions.