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运用结构方程模型分析 COVID-19 大流行期间重症监护病房护士的心理健康症状和失眠水平。

Analysis of mental health symptoms and insomnia levels of intensive care nurses during the COVID-19 pandemic with a structural equation model.

机构信息

School of Nursing, Maltepe University, İstanbul, Turkey.

Faculty of Health Sciences, Nursing Department, Artvin Coruh University, Artvin, Turkey.

出版信息

J Clin Nurs. 2022 Mar;31(5-6):601-611. doi: 10.1111/jocn.15918. Epub 2021 Jun 13.

Abstract

BACKGROUND

Faced with this critical situation and directly involved in the treatment and care of COVID-19 patients, front-line healthcare workers are at high risk in terms of mental health symptoms.

AIMS AND OBJECTIVES

To determine the stress, anxiety, depression, and insomnia levels of intensive care nurses during the pandemic with a structural equation model.

DESIGN

A multi-site survey study.

METHODS

The study was performed with 194 nurses working in the intensive care units of five hospitals in Istanbul in July 2020. Data were collected using the Depression Anxiety Stress-21 Scale and Insomnia Severity Index electronically. The data were evaluated with descriptive statistics in SPSS package program. In order to test the structural model and hypotheses of the research, path analysis was performed with LISREL statistical software program. A validation study for the suitability of these scales to the study sample was done by the researchers using the confirmatory factor analysis method. The study conforms to the TREND checklist.

RESULTS

In this study, the majority of the intensive care nurses had moderate to extremely severe depression (65.5%), anxiety (58.3%) and stress (72.3%) scores; in addition, 39.7% of the nurses experienced moderate or severe insomnia. Within the framework of a structural model; the effects of stress, anxiety and insomnia on depression, which is the dependent variable, were found to be statistically significant (p < .001).

CONCLUSIONS

It was found that the majority of the intensive care nurses fighting COVID-19 on the front-line experienced stress, anxiety, depression and insomnia at levels ranging from moderate to extremely severe; in addition, it was determined that there is a positive relationship between stress, anxiety, insomnia and depression.

RELEVANCE TO CLINICAL PRACTICE

This study, in which we have determined the mental health symptoms and insomnia levels of intensive care nurses, who are in the front-line during the COVID-19 pandemic, constitutes the scientific basis for the effective coping strategies that the authorities will take in this subject.

摘要

背景

面对这种危急情况,并且直接参与 COVID-19 患者的治疗和护理,一线医护人员在心理健康症状方面面临高风险。

目的和目标

通过结构方程模型确定大流行期间重症监护护士的压力、焦虑、抑郁和失眠水平。

设计

多地点调查研究。

方法

本研究于 2020 年 7 月在伊斯坦布尔的五家医院的重症监护病房对 194 名护士进行。通过电子方式使用抑郁焦虑压力量表 21 项和失眠严重程度指数收集数据。数据在 SPSS 包程序中使用描述性统计进行评估。为了测试研究的结构模型和假设,使用 LISREL 统计软件程序进行路径分析。研究人员使用验证性因子分析方法对这些量表是否适合研究样本进行了验证研究。该研究符合 TREND 清单。

结果

在这项研究中,大多数重症监护护士的抑郁(65.5%)、焦虑(58.3%)和压力(72.3%)评分处于中度到极度严重;此外,39.7%的护士出现中度或重度失眠。在结构模型框架内;发现压力、焦虑和失眠对作为因变量的抑郁的影响具有统计学意义(p<0.001)。

结论

我们发现,大多数在一线抗击 COVID-19 的重症监护护士经历了从中度到极度严重的压力、焦虑、抑郁和失眠;此外,确定了压力、焦虑、失眠和抑郁之间存在正相关关系。

临床相关性

本研究确定了在 COVID-19 大流行期间处于前线的重症监护护士的心理健康症状和失眠水平,为当局在这一主题中采取的有效应对策略提供了科学依据。

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