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社会工作者倦怠的预测因素:以 COVID-19 大流行为例进行分析。

Predictors of Burnout in Social Workers: The COVID-19 Pandemic as a Scenario for Analysis.

机构信息

Department of Social Work and Social Services, University of Murcia, Avda. Teniente Flomesta, 5, 30003 Murcia, Spain.

Department of Political Sciences, Social Anthropology and Public Finances, Campus Universitario de Lorca. Av de las Fuerzas Armadas, s/n, 30800 Murcia, Spain.

出版信息

Int J Environ Res Public Health. 2021 May 19;18(10):5416. doi: 10.3390/ijerph18105416.

Abstract

The current health crisis resulting from the COVID-19 pandemic increases the stress and anxiety levels in some professions, including social work. The present research aimed to determine the burnout levels of social workers in Spain during the first wave of the pandemic and the predictive variables. The methodological approach used was developed from a quantitative perspective through a simple random sampling from the Maslach Burnout Inventory (MBI) on a sample of Spanish social workers. The results showed high levels of emotional exhaustion (70.1%) and depersonalization (48.5%), although the data related to a reduced sense of personal accomplishment (36.6%) was low. The burnout level was 20.4%, a reduced record considering the values of the first two subscales. In contrast, the logistic regressions carried out showed that teleworking and psychological treatment are predictive variables of emotional exhaustion. With depersonalization, age (41-50 years) and the perception of needing psychological or psychiatric treatment in the future act as predictive variables. In critical scenarios such as a pandemic, work organizations should implement measures to reduce the high percentages of emotional exhaustion, the workload, and the dehumanization of professionals, a consequence linked to depersonalization.

摘要

当前由 COVID-19 大流行引发的卫生危机增加了某些职业(包括社会工作)的压力和焦虑水平。本研究旨在确定西班牙社会工作者在大流行第一波期间的倦怠水平和预测变量。所采用的方法学方法是从定量角度出发,通过对西班牙社会工作者的 Maslach 倦怠量表(MBI)进行简单随机抽样得出的。结果显示,情感耗竭(70.1%)和去人格化(48.5%)水平较高,尽管与个人成就感降低(36.6%)相关的数据较低。倦怠水平为 20.4%,考虑到前两个子量表的值,这是一个较低的记录。相比之下,进行的逻辑回归表明,远程工作和心理治疗是情感耗竭的预测变量。对于去人格化,年龄(41-50 岁)和未来需要心理或精神病治疗的感知是预测变量。在大流行等危机情况下,工作组织应采取措施来降低高比例的情感耗竭、工作量和专业人员的非人性化,这是与去人格化相关的后果。

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