Status and influencing factors of nurses' burnout: A web survey during COVID-19 regular prevention and control in China (Preprint)

Author:

Mao Xiaofei,Hou Tianya,Tang Yun,Ni Chunyan,Zhang Jianguo,Deng Wenxi,Chen Liqing,Wang Xingxing,Li Ziqiang,Jia Yan,Dong Wei,Qian Xing

Abstract

BACKGROUND

Though the severe situation during COVID-19 regular prevention and control in China faced by nurses has changed, nurses still worked under huge stress. However, the work concerning the burnout of Chinese nurses in the stage of COVID-19 regular prevention and control is still missing.

OBJECTIVE

This is the first study in China to investigate the status and influencing factors of nurses' burnout during COVID-19 regular prevention and control.

METHODS

A web survey was conducted from 3 January to 7 January 2022 in Chinese nurses. Convenient sampling was applied to recruit 784 nurses in China. Demographic questionnaire, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, The Impact of Event Scale, Perceived Social Support Scale, Connor-Davidson Resilience Scale, General Self-efficacy Scale and Maslach Burnout Inventory were used to assess demographic information, anxiety, depression, insomnia, PTSD symptoms, social support, resilience, self-efficacy and burnout, respectively.

RESULTS

310 (39.5%), 393 (50.1%) and 576 (73.5%) of the respondents were at a high risk of emotional exhaustion, depersonalization and reduced personal accomplishment. The overall risk of EE, DP and reduced PA were moderate, high, and high, respectively. Nurses who obtained intermediate and senior professional titles and worked more than 40 hours per week reported higher scores in EE. Those who worked in high-risk units reported lower scores in PA. Anxiety, PTSD, social support and self-efficacy were predictors of EE and DP. Social support and resilience could predict PA significantly.

CONCLUSIONS

Burnout of Chinese nurses in the stage of COVID-19 regular prevention and control was serious. Professional title, weekly hours of working, working department, anxiety, PTSD symptoms, social support, self-efficacy and resilience were significantly predictors of burnout.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3