COVID-19 大流行期间医护人员的压力波动和复原力:见解和建议

Q3 Psychology
Nienke J. de Bles , Erik J. Giltay , Manon A. Boeschoten , Nic J.A. van der Wee , Veronica R. Janssen , Albert M. van Hemert , Henricus G.J.M. Vermetten , Nathaly Rius Ottenheim
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引用次数: 0

摘要

背景医护人员(HCW)在 COVID-19 期间面临着前所未有的挑战,这对他们的健康产生了重大影响。我们的目的是监测在 COVID-19 大流行期间,医护人员与各种因素相关的压力相关症状和复原力。方法在 2020 年 6 月至 2022 年 5 月期间,我们通过数字自我监测应用程序收集了莱顿大学医疗中心(LUMC)医护人员的数据。该应用程序包括一个14个项目的自我监测工具(即7个支持因素项目和7个压力负担项目),以及一套经过验证的问卷(即哥本哈根职业倦怠量表(CBI)、事件影响量表-修订版(IES-R)、复原力评估量表(RES)和抑郁、焦虑和压力量表(DASS-21))。结果分别有1070名和413名参与者完成了自我监测工具和经过验证的问卷。压力相关症状的平均得分(由自我监测、CBI、IES-R和DASS-21测量)随着时间的推移发生了显著变化(所有P均为0.001),这与COVID-19入院患者的波数和全国COVID-19死亡率相关(所有P均为0.005)。局限性可能存在选择偏差,因为参与研究的人员可能更关注心理健康的负担。结论本研究强调了为所有医护人员提供积极的社会心理支持的必要性,尤其是在大流行病导致入院人数增加的时期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fluctuations of stress and resilience in healthcare workers during the COVID-19 pandemic: Insights and recommendations

Background

Healthcare workers (HCW) have faced unprecedented challenges during the COVID-19, with significant impact on their well-being. We aimed to monitor stress-related symptoms and resilience in HCW over time in relation to various factors during the COVID-19 pandemic.

Methods

Between June 2020 and May 2022, data was collected among HCW of Leiden University Medical Centre (LUMC) through a digital self-monitoring application. The application included a 14-items self-monitoring tool (i.e., 7-items on Supporting factors, 7-items on Stressful burden), and a set of validated questionnaires (i.e., the Copenhagen Burnout Inventory (CBI), Impact of Event Scale – Revised (IES-R), Resilience Evaluation Scale (RES), and Depression Anxiety and Stress Scale (DASS-21).

Results

The self-monitoring tool and validated questionnaires were completed by 1070 and 413 participants respectively. Mean stress-related symptom scores (as measured by the self-monitoring, CBI, IES-R, and DASS-21) exhibited significant changes over time (all p’s < 0.001), which correlated with the waves of COVID-19 patients admitted and the national COVID-19 mortality rate (all p’s < 0.005). Resilience, as measured by the RES, showed a significant decrease from the start of data collection onwards (p = 0.001), whereas supporting factors showed significant decreases the first few months, followed by fluctuations after January 2021 (p = 0.02).

Limitations

Selection bias may have arisen as those participating may have been more concerned with the burden on mental wellbeing.

Conclusions

The current study underscores the need for active psychosocial support for all HCW particularly during periods of increased admissions due to pandemics.

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来源期刊
Journal of Affective Disorders Reports
Journal of Affective Disorders Reports Psychology-Clinical Psychology
CiteScore
3.80
自引率
0.00%
发文量
137
审稿时长
134 days
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