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新冠疫情期间医护人员职业倦怠综合征发生的预测因素

Predictive Factors of the Burnout Syndrome Occurrence in the Healthcare Workers During the COVID-19 Pandemic.

作者信息

Grigorescu Simona, Cazan Ana-Maria, Rogozea Liliana, Grigorescu Dan Ovidiu

机构信息

Faculty of Medicine, Transilvania University of Braşov, Braşov, Romania.

Emergency Clinical Children Hospital, Braşov, Romania.

出版信息

Front Med (Lausanne). 2022 Jun 9;9:842457. doi: 10.3389/fmed.2022.842457. eCollection 2022.

DOI:10.3389/fmed.2022.842457
PMID:35755041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9218740/
Abstract

The coronavirus disease 2019 (COVID-19) pandemic is probably the most critical epidemiological situation that human civilization has faced in the last few decades. In this context, of all the professional categories involved in the management of patients with COVID-19 are the most likely to develop burnout syndrome. The main objective of this study is to analyze specific predictive factors of the occurrence and development of the burnout syndrome in the healthcare workers involved in the diagnosis and treatment of patients with COVID-19. The study focused on determining factors of the occurrence, development and maintaining the specific burnout syndrome related to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic infection. The study was conducted on a sample of 959 participants, medical personnel from all the public medical entities in Romania(including 5 hospitals): 122 male and 755 female (82 participants did not declare their gender), with a mean age of 42.29 years (SD = 9.97). The sample included 219 doctors, 477 nurses, 214 auxiliary medical personnel and 49 other types of hospital workers. A cross-sectional design was used. Three predictors of the burnout syndrome were identified: Work conditions, Fear of the consequences (including death) determined by the COVID-19 and Need for emotional support. Meaning of work had a moderating role. Several moderated mediation models were tested. The indirect relationship of Work conditions with burnout Fear of infection was statistically significant; in addition, the indirect effect of Work conditions on burnout through both fear of infection and need for support was statistically significant. The moderation analysis showed that Meaning of work buffer the relationship between Work conditions and Fear of infection. The variance explained by the model including the moderator (30%) was higher than the variance explained by Model 1 (27%), showing that adding the moderating effect of Meaning of work to the relationship of Work conditions with burnout was relevant. The results could be used to design specific interventions to reduce the occurrence of the burnout syndrome in healthcare workers, the implementation of a strategy to motivate employees by highlighting and recognizing the high significance of the work of those in the frontline of the fight against COVID-19.

摘要

2019年冠状病毒病(COVID-19)大流行可能是人类文明在过去几十年中面临的最严峻的流行病学形势。在此背景下,参与COVID-19患者管理的所有专业类别中,[此处原文缺失关键信息,疑似不完整]最有可能出现职业倦怠综合征。本研究的主要目的是分析参与COVID-19患者诊断和治疗的医护人员中职业倦怠综合征发生和发展的特定预测因素。该研究聚焦于确定与严重急性呼吸综合征冠状病毒2(SARS-CoV-2)大流行感染相关的职业倦怠综合征发生、发展和维持的因素。该研究以959名参与者为样本,这些人员来自罗马尼亚所有公共医疗实体(包括5家医院)的医务人员:122名男性和755名女性(82名参与者未表明性别),平均年龄为42.29岁(标准差=9.97)。样本包括219名医生、477名护士、214名辅助医务人员和49名其他类型的医院工作人员。采用横断面设计。确定了职业倦怠综合征的三个预测因素:工作条件、对COVID-19所致后果(包括死亡)的恐惧以及情感支持需求。工作意义具有调节作用。测试了几个有调节的中介模型。工作条件与职业倦怠之间通过对感染的恐惧的间接关系具有统计学意义;此外,工作条件通过对感染的恐惧和支持需求对职业倦怠的间接影响也具有统计学意义。调节分析表明,工作意义缓冲了工作条件与对感染的恐惧之间的关系。包含调节变量的模型解释的方差(30%)高于模型1解释的方差(27%),表明在工作条件与职业倦怠的关系中加入工作意义的调节作用是有意义的。这些结果可用于设计具体干预措施,以减少医护人员职业倦怠综合征的发生,实施一项通过突出和认可抗击COVID-19一线人员工作的高度重要性来激励员工的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f590/9218740/32f39211e3f4/fmed-09-842457-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f590/9218740/e334b247f377/fmed-09-842457-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f590/9218740/e4d6ce01ad8a/fmed-09-842457-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f590/9218740/32f39211e3f4/fmed-09-842457-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f590/9218740/e334b247f377/fmed-09-842457-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f590/9218740/e4d6ce01ad8a/fmed-09-842457-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f590/9218740/32f39211e3f4/fmed-09-842457-g0003.jpg

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