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Burnout in Spanish Security Forces during the COVID-19 Pandemic

机译:在Covid-19大流行期间在西班牙安全部队倦怠

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摘要

Since the beginning of the COVID-19 pandemic in Spain, members of the State Security Forces and the Armed Forces have been mobilized to guarantee the security and mobility of the population and to support health institutions by providing personnel for care, creating field hospitals, transferring the sick and the dead, etc. The objective of this study was to determine the levels of burnout in these professionals using the Maslach Burnout Inventory (MBI) scale, both in its different subscales and its total value. The study was developed using a quantitative methodology through a simple random sample (n = 2182). An ad hoc questionnaire was administered including variables related to: (a) socio-demographic issues, (b) subjective perceptions about their working conditions and the need for psychological and psychiatric treatment, and (c) the Death Anxiety Scale developed by Collett–Lester, and the MBI. The results show high levels of burnout (28.5%) in all its subscales: emotional exhaustion (53.8%), depersonalization (58.0%), and lack of personal development (46.3%). The logistic regression verifies a series of predictive variables that coincide in each of the subscales. These data indicate the need to implement prevention and treatment measures for workers so that their, stress, and anxiety to which they are subjected during their professional activity does not become a norm that can have negative repercussions for them, especially given the risk of new pandemic waves.
机译:自西班牙Covid-19大流行的开始以来,国家安全部队成员和武装部队已被动员,以保证人口的安全和流动,并通过为护理人员提供人员来支持卫生机构,创造现场医院,转让病人和死亡等。本研究的目的是使用Maslach Burnout Inventory(MBI)规模,在其不同的分量处及其总价值中确定这些专业人员中的倦怠程度。该研究是通过简单的随机样品(n = 2182)使用定量方法开发的。管理ad hoc问卷,包括与:(a)社会人口问题相关的变量,(b)对其工作条件的主观看法以及心理和精神治疗的需求,(c)Collett-Lester制定的死亡焦虑规模和MBI。结果表明,在其所有分量表中显示出高水平的倦怠(28.5%):情绪疲惫(53.8%),缺席(58.0%),缺乏个人发展(46.3%)。 Logistic回归验证了一系列一系列预测变量,可在每个分量处重合。这些数据表明,需要为工人实施预防和治疗措施,以便他们在专业活动期间受到它们的压力和焦虑,这不会成为对他们产生负面影响的规范,特别是鉴于新流行的风险波浪。

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