压力源与职业倦怠的关系:职业幸福感的调节作用

Relationship between stressors and job burnout: Moderating role of job well-being

  • 摘要:
    背景 增强医护人员的职业荣誉感和归属感是建立现代医院管理制度的重要内容,与综合医院专业医务人员相比,肿瘤专业医务人员更易发生职业倦怠,而国内少有研究关注肿瘤专科医院职工职业倦怠。
    目的 本文建构职业幸福感调节压力源与职业倦怠间关系的假设模型,探讨压力源究竟怎样影响职业倦怠以及职业幸福感在其中的作用。在理解压力源双刃效应基础上,为管理实践者深入认识职业倦怠,调动职工积极性提供参考。
    方法 本研究于2022年5月,在重庆市某三甲肿瘤专科医院开展调查。研究共选取1 898名医护人员进行分析。调查工具包括一般资料调查问卷、工作倦怠量表、工作压力源量表与医务工作者职业幸福感量表,调查了研究对象人口学信息、职业倦怠、压力源与职业幸福感情况。采用独立样本t检验或单因素方差分析进行职业倦怠的单因素组间比较;采用Pearson相关分析职业倦怠与压力源、职业幸福感间的相关性;采用多元线性层次回归模型分析职业倦怠的影响因素,并检验职业幸福感在压力源与职业倦怠间的调节效应。
    结果 共发放问卷2 123份,回收问卷1 898份,有效问卷回收率为89.4%,职业倦怠发生率为60.1%。压力源与职业倦怠相关系数为0.717(P<0.001);职业幸福感与职业倦怠相关系数为−0.784(P<0.05);压力源与职业幸福感相关系数为−0.744(P<0.001)。压力源二次项对职业倦怠影响具有统计学意义(β=0.404,P<0.01),职业幸福感在压力源一次项与职业倦怠间起正向调节作用(β=1.289,P<0.001),职业幸福感在压力源二次项与职业倦怠间起负向调节作用(β=−0.571,P<0.01),调节效应解释方差比例为7.1%。
    结论 肿瘤专科医院职工职业倦怠率发生较高,压力源与职业倦怠间存在曲线关系,并且职业幸福感可有效调节压力源与职业倦怠间关系。建议组织管理者建立压力源分级预警机制,关注职工压力源水平,避免持续高压;并通过制度激励和发展支持等提升职业幸福感,增强其缓冲作用;同时,推动组织与个体协同应对,健全心理健康管理体系,推进医务人员队伍的健康、稳定与长效发展。

     

    Abstract:
    Background Enhancing the sense of honor and belonging among medical staff is a key component of establishing a modern hospital management system. Compared to medical staff at general hospitals, medical staff at oncology hospitals are more prone to job burnout, yet few studies in China have focused on job burnout among employees in oncology hospitals.
    Objective To propose a hypothetical model in which job well-being moderates the relationship between stressors and occupational burnout, to explore how stressors influence burnout and potential moderating role of job well-being, and to provide better understanding of job burnout and motivate employees based on the double-edge sword effect of stressors.
    Methods A cross-sectional survey was conducted in May 2022 at a tertiary oncology specialty hospital in Chongqing, China. A total of 1 898 medical staff were recruited. Data were collectedthrough four scales including a general information questionnaire, Maslach Burnout Inventory-Human Service Survey, Work Stressor Scale, and Occupational Well-being Scale for Medical Staff. Independent sample t-tests and one-way ANOVA were used for univariate comparisons of job burnout. Pearson correlation analysis was employed to examine the relationships between job burnout, stressors, and job well-being. Hierarchical linear regression was conducted to identify factors influencing job burnout and to examine potential moderating role of job well-being in the relationship between stressors and job burnout.
    Results A total of 2 123 questionnaires were distributed, with 1 898 valid responses, yielding an effective response rate of 89.4%. The prevalence of job burnout was 60.1%. The correlation coefficient was 0.717 (P<0.001) between stressors and burnout, −0.784 (P<0.05) between job well-being and burnout, and −0.744 (P<0.001) between stressors and job well-being. The quadratic stressors showed a statistically significant effect on burnout (β=0.404, P<0.01). Job well-being positively moderated the relationship between the linear stressors and burnout (β=1.289, P<0.001) and negatively moderated the relationship between the quadratic stressors and job burnout (β=−0.571, P<0.01), explaining 7.1% of the variance.
    Conclusion Job burnout prevalence is relatively high among employees in oncology hospitals. There is a curvilinear relationship between stressors and job burnout, with job well-being moderating this relationship. From a practical perspective, it is recommended to establish a tiered stress alert system to monitor employees’ stress levels and prevent prolonged exposure to high-pressure conditions. Additionally, improving employees’ job well-being through institutional incentives and developmental support can enhance its moderating role in mitigating the adverse effects of stressors on job burnout. Meanwhile, fostering coordinated responses between organizations and individuals is crucial for strengthening mental health management systems, thereby supporting a healthy, stable, and sustainable development of the healthcare workforce.

     

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