Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Oct 19, 2023)
Date Submitted: Jan 9, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Status and influencing factors of nurses' burnout: A web survey during COVID-19 regular prevention and control in China
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.
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