The purpose of this research is to identify a path model to explain burnout in community mental health professionals based on the compassion satisfaction–compassion fatigue (CS-CF) model. A total of 125 mental health professionals, including nurses, social professionals, and psychologists working in mental health welfare centers in various regions across South Korea were surveyed using a structured questionnaire. A path analysis was conducted using SPSS 24.0 and AMOS 24.0. The results showed that compassion satisfaction and compassion fatigue are significant predictors of burnout (β = −0.20, p = 0.011; β = 0.40, p < 0.001, respectively). The indirect pathways associated with burnout included occupational stress (β = 0.21, p = 0.021) and experience with aggressive behavior in the workplace (β = 0.33, p = 0.004) through maladaptive cognitive emotion regulation and compassion satisfaction. The total effect of the variables on burnout via compassion fatigue and compassion satisfaction explained 62.5% of burnout among mental health professionals. These findings indicate that providing nursing interventions might reduce compassion fatigue and increase compassion satisfaction to reduce burnout. Furthermore, intervention programs that help to reduce the use of maladaptive cognitive emotion regulation strategies are necessary to effectively reduce burnout in mental health professionals.

中文翻译：

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社区精神卫生专业人员职业倦怠的路径模型

本研究的目的是确定一个路径模型，以基于同情心满意 - 同情疲劳（CS-CF）模型来解释社区心理健康专业人员的倦怠。共有 125 名精神卫生专业人员，包括在韩国各地区精神卫生福利中心工作的护士、社会专业人员和心理学家，使用结构化问卷调查。使用SPSS 24.0和AMOS 24.0进行路径分析。结果表明，同情心满意度和同情心疲劳是倦怠的重要预测因子（分别为 β = -0.20，p = 0.011；β = 0.40，p < 0.001）。与职业倦怠相关的间接途径包括职业压力 (β = 0.21, p= 0.021) 和工作场所攻击性行为的经验 (β = 0.33, p = 0.004) 通过适应不良的认知情绪调节和同情心满足。通过同情疲劳和同情满意度变量对倦怠的总影响解释了心理健康专业人员中 62.5% 的倦怠。这些发现表明，提供护理干预可能会减少同情疲劳并提高同情满意度，从而减少倦怠。此外，有助于减少使用不良认知情绪调节策略的干预计划对于有效减少心理健康专业人员的倦怠是必要的。