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新冠疫情高峰期蒙古一线医护人员与不良心理健康状况

Frontline Mongolian Healthcare Professionals and Adverse Mental Health Conditions During the Peak of COVID-19 Pandemic.

作者信息

Tsogbadrakh Basbish, Yanjmaa Enkhjargal, Badamdorj Oyungoo, Choijiljav Dorjderem, Gendenjamts Enkhjargal, Ayush Oyun-Erdene, Pojin Odonjil, Davaakhuu Battogtokh, Sukhbat Tuya, Dovdon Baigalmaa, Davaasuren Oyunsuren, Stark Azadeh

机构信息

School of Nursing, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.

Inova Fairfax Hospital, Falls Church, VA, United States.

出版信息

Front Psychol. 2022 Mar 11;13:800809. doi: 10.3389/fpsyg.2022.800809. eCollection 2022.

DOI:10.3389/fpsyg.2022.800809
PMID:35360563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8963333/
Abstract

BACKGROUND

The relatively young and inexperienced healthcare professionals in Mongolia faced with an unprecedent service demand in response to the COVID-19 pandemic. Due to the small size of the healthcare workforce the Mongolian Health Ministry had no choice but to mandate continuous and long workhours from the healthcare workforce. Many of the healthcare professionals exhibited signs and symptoms of mental health disorders. This study aimed to discern the prevalence various mental health concerns, i.e., depression, anxiety and stress, insomnia, and to discern the factors that increased susceptibility to mental health disorders among frontline healthcare professionals providing healthcare services for COVID-19 patients in Mongolia.

METHODS

A Cross-sectional research design was implemented. We collected data from 965 healthcare professional, randomly selected from 18 government hospitals, in four regions of Mongolia. Data were collected using the Depression Anxiety Stress-21, the General Self-Efficacy Scale, and the Insomnia Severity Index instruments. We constructed the scale of Pandemic Response Symptoms (PaReSy) which captured stress, depression, and anxiety. Data were analyzed using descriptive statistics, Kruskal-Wallis statistical test and multinominal logistic regression analysis.

RESULTS

Prevalence of depression (52.3%, CI 95%: 49.1-55.5%), anxiety (70.2%, CI 95%: 67.2-73.0%), and stress (35.8%, CI 95%: 32.7-38.9%) was documented among Mongolian healthcare professionals. Perception of self-efficacy reduced susceptibility to PaReSy either at mild/moderate (OR = 0.948, 95% CI = 0.911-0.988, = 0.011) or severe/extremely severe level (OR = 0.911, 95% CI = 0.861-0.963, = 0.001). Within each stratum of insomnia, the risk of experiencing PaReSy increased almost linearly both in the category of mild/moderate PaReSy and in the category of severe/extremely severe PaReSy.

CONCLUSION

Improving self-efficacy and sleeping quality can assist healthcare workers to manage depression, anxiety, and stress. Findings provide important evidence to implement measures and strategies to assist healthcare professionals in low- and middle-income countries to constructively address their mental health concerns and needs.

摘要

背景

蒙古相对年轻且缺乏经验的医护人员面临着应对新冠疫情前所未有的服务需求。由于医护人员数量少,蒙古卫生部别无选择,只能要求医护人员持续长时间工作。许多医护人员表现出心理健康障碍的迹象和症状。本研究旨在识别各种心理健康问题的患病率,即抑郁、焦虑和压力、失眠,并识别在蒙古为新冠患者提供医疗服务的一线医护人员中增加心理健康障碍易感性的因素。

方法

采用横断面研究设计。我们从蒙古四个地区的18家政府医院中随机抽取了965名医护人员收集数据。使用抑郁焦虑压力量表-21、一般自我效能量表和失眠严重程度指数工具收集数据。我们构建了大流行应对症状量表(PaReSy),该量表涵盖压力、抑郁和焦虑。使用描述性统计、Kruskal-Wallis统计检验和多项逻辑回归分析对数据进行分析。

结果

在蒙古医护人员中记录到抑郁患病率为52.3%(95%置信区间:49.1 - 55.5%)、焦虑患病率为70.2%(95%置信区间:67.2 - 73.0%)和压力患病率为35.8%(95%置信区间:32.7 - 38.9%)。自我效能感的认知在轻度/中度(比值比 = 0.948,95%置信区间 = 0.911 - 0.988,P = 0.011)或重度/极重度水平(比值比 = 0.911,95%置信区间 = 0.861 - 0.963,P = 0.001)均降低了患PaReSy的易感性。在每个失眠分层中,无论是在轻度/中度PaReSy类别还是重度/极重度PaReSy类别中,经历PaReSy的风险几乎呈线性增加。

结论

提高自我效能感和睡眠质量有助于医护人员管理抑郁、焦虑和压力。研究结果为实施措施和策略提供了重要证据,以帮助低收入和中等收入国家的医护人员建设性地解决他们的心理健康问题和需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02cc/8963333/98de5538251a/fpsyg-13-800809-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02cc/8963333/98de5538251a/fpsyg-13-800809-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02cc/8963333/98de5538251a/fpsyg-13-800809-g001.jpg

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