School of Nursing, Jilin University, Jilin, China.
Bethune First Hospital, Jilin University, Jilin, China.
Int J Nurs Pract. 2021 Dec;27(6):e12941. doi: 10.1111/ijn.12941. Epub 2021 Apr 15.
Many national studies have shown that nurses have a high turnover rate. The key to maintaining the stability of nursing staff is to explore the factors that affect their turnover intention; however, no research has been performed to explore the influencing factors and mechanisms of nurses' turnover intention based on the Theory of Planned Behaviour.
Based on the Theory of Planned Behaviour, examining the relationships among resilience, job satisfaction, social support and turnover intention of nurses, a structural equation model was constructed to examine the mediating role of job satisfaction and social support between resilience and turnover intention.
In this descriptive cross-sectional study, a total of 350 questionnaires were distributed to participants from three tertiary hospitals in Changchun, Jilin Province, between December 2018 and March 2019.
The final model fits well. Job satisfaction and social support directly influences turnover intention. Resilience indirectly influences turnover intention through job satisfaction and social support.
Turnover intention is a complex variable, which is directly and indirectly affected by many factors. In this study, a new structural equation model was proposed, which laid a foundation for future longitudinal studies.
许多国家的研究表明,护士的离职率很高。维持护理人员稳定性的关键是探索影响他们离职意愿的因素;然而,还没有研究基于计划行为理论来探讨护士离职意愿的影响因素和机制。
本研究基于计划行为理论,考察韧性、工作满意度、社会支持与护士离职意愿之间的关系,构建结构方程模型,检验韧性与离职意愿之间通过工作满意度和社会支持的中介作用。
本研究采用描述性横断面研究方法,于 2018 年 12 月至 2019 年 3 月期间,选取吉林省长春市 3 家三级医院的 350 名护士作为研究对象进行问卷调查。
最终模型拟合良好。工作满意度和社会支持直接影响离职意愿。韧性通过工作满意度和社会支持间接影响离职意愿。
离职意愿是一个复杂的变量,受到许多因素的直接和间接影响。本研究提出了一个新的结构方程模型,为未来的纵向研究奠定了基础。