Department of Neurology, Affiliated Fuyang People's Hospital of Anhui Medical University, Fuyang, China.
Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
BMC Public Health. 2024 Mar 4;24(1):688. doi: 10.1186/s12889-024-18223-4.
The COVID-19 pandemic has significantly increased the risk of burnout among frontline nurses. However, the prevalence of burnout and its associated factors in the post-pandemic era remain unclear. This research aims to investigate burnout prevalence among frontline nurses in the post-pandemic period and pinpoint associated determinants in China.
From April to July 2023, a cross-sectional study was carried out across multiple centers, focusing on frontline nurses who had been actively involved in the COVID-19 pandemic. The data collection was done via an online platform. The Maslach Burnout Inventory-Human Services Survey was utilized to evaluate symptoms of burnout. A multivariable logistic regression analysis was used to pinpoint factors associated with burnout.
Of the 2210 frontline nurses who participated, 75.38% scored over the cut-off for burnout. Multivariable logistic regression revealed that factors like being female [odds ratio (OR) = 0.41, 95%CI = 0.29-0.58] and exercising 1-2 times weekly[OR = 0.53, 95%CI = 0.42-0.67] were protective factors against burnout. Conversely, having 10 or more night shifts per month[OR = 1.99, 95%CI = 1.39-2.84], holding a master's degree or higher[OR = 2.86, 95% CI = 1.59-5.15], poor health status[OR = 2.43, 95% CI = 1.93-3.08] and [OR = 2.82, 95%CI = 1.80-4.43], under virus infection[OR = 7.12, 95%CI = 2.10-24.17], and elevated work-related stress[OR = 1.53, 95% CI = 1.17-2.00] were all associated with an elevated risk of burnout.
Our findings indicate that post-pandemic burnout among frontline nurses is influenced by several factors, including gender, monthly night shift frequency, academic qualifications, weekly exercise frequency, health condition, and viral infection history. These insights can inform interventions aimed at safeguarding the mental well-being of frontline nurses in the post-pandemic period.
新冠疫情大流行显著增加了一线护士倦怠的风险。然而,在后疫情时代,倦怠的流行率及其相关因素仍不清楚。本研究旨在调查中国后疫情时代一线护士倦怠的流行率,并确定相关决定因素。
2023 年 4 月至 7 月,采用多中心横断面研究,聚焦曾积极参与新冠疫情的一线护士。通过在线平台收集数据。采用 Maslach 倦怠量表-人力服务调查评估倦怠症状。采用多变量 logistic 回归分析确定与倦怠相关的因素。
在 2210 名参与的一线护士中,75.38%的倦怠评分超过临界值。多变量 logistic 回归显示,女性(比值比 [OR] = 0.41,95%可信区间 [CI] = 0.29-0.58)和每周锻炼 1-2 次(OR = 0.53,95%CI = 0.42-0.67)是倦怠的保护因素。相反,每月夜班 10 次或以上(OR = 1.99,95%CI = 1.39-2.84)、拥有硕士或以上学历(OR = 2.86,95%CI = 1.59-5.15)、健康状况不佳(OR = 2.43,95%CI = 1.93-3.08)和[OR = 2.82,95%CI = 1.80-4.43]、病毒感染(OR = 7.12,95%CI = 2.10-24.17)和工作相关压力升高(OR = 1.53,95%CI = 1.17-2.00)与倦怠风险升高相关。
我们的研究结果表明,后疫情时代一线护士的倦怠受到多种因素的影响,包括性别、每月夜班频率、学历、每周锻炼频率、健康状况和病毒感染史。这些发现为在后疫情时代保护一线护士的心理健康提供了干预依据。