Balakrishnar Kishana, Long Bao-Zhu Stephanie, Haritos Alexia M, Formuli Edris, Nowrouzi-Kia Behdin
Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Krembil Research Institute-University Health Network, Toronto, Ontario, Canada.
Can J Nurs Res. 2025 Sep;57(3):448-459. doi: 10.1177/08445621251338580. Epub 2025 Apr 29.
BackgroundThe increased demands and stressors from the COVID-19 pandemic led to widespread burnout and job stress, prompting concerns about retention rates. This study identifies demographic and occupational predictors of Canadian nurses' intent to leave their jobs due to burnout and job stress during the COVID-19 pandemic.MethodsData was utilized from the Survey on Health Care Workers' Experiences During the Pandemic conducted by Statistics Canada. Multivariate logistic regression models were generated to analyze the associations between demographic and occupational factors and nurses' intent to leave.ResultsA total of 12,246 eligible participants responded to the survey (54.9% response); however, the analysis was restricted to 1138 nurses after excluding participants of other healthcare occupations. Younger nurses were significantly more likely to consider leaving their jobs [OR = 9.95, 95% CI: (5.92-16.73)], as well as nurses living in Alberta [OR = 3.16, 95% CI: (1.58-6.32)] and British Columbia [OR = 3.16, 95% CI: (1.66-6.03)]. Moreover, nurses with less work experience [OR = 3.91, 95 CI = (2.53-6.05)], work in acute care [(OR = 3.31, 95 CI = (1.69-6.51)], experienced changes in workload [OR = 2.69, 95% CI: (1.58-4.57)], had increased work hours [OR = 1.92, 95% CI: (1.27-2.92)], and lacked emotional support [OR = 3.43, 95 CI = (2.31-5.09)] had greater odds of intending to leave.ConclusionThe findings underscore the need for strategies to mitigate stress and burnout among nurses, particularly during public health crises. Implementing measures to address these factors could help improve retention rates and ensure a stable nursing workforce during future pandemics.
背景
新冠疫情带来的需求增加和压力源导致广泛的职业倦怠和工作压力,引发了对留用率的担忧。本研究确定了在新冠疫情期间,加拿大护士因职业倦怠和工作压力而打算离职的人口统计学和职业预测因素。
方法
使用了加拿大统计局进行的“大流行期间医护人员经历调查”的数据。生成多变量逻辑回归模型来分析人口统计学和职业因素与护士离职意愿之间的关联。
结果
共有12246名符合条件的参与者回复了调查(回复率为54.9%);然而,在排除其他医疗职业的参与者后,分析仅限于1138名护士。年轻护士更有可能考虑离职[比值比(OR)=9.95,95%置信区间(CI):(5.92 - 16.73)],居住在艾伯塔省的护士也是如此[OR = 3.16,95% CI:(1.58 - 6.32)]以及不列颠哥伦比亚省的护士[OR = 3.16,95% CI:(1.66 - 6.03)]。此外,工作经验较少的护士[OR = 3.91,95% CI =(2.53 - 6.05)]、在急症护理部门工作的护士[(OR = 3.31,95% CI =(1.69 - 6.51)]、经历过工作量变化的护士[OR = 2.69,95% CI:(1.58 - 4.57)]、工作时长增加的护士[OR = 1.92,95% CI:(1.27 - 2.92)]以及缺乏情感支持的护士[OR = 3.43,95% CI =(2.31 - 5.09)]离职意愿更高。
结论
研究结果强调了采取策略减轻护士压力和职业倦怠的必要性,尤其是在公共卫生危机期间。采取措施解决这些因素有助于提高留用率,并在未来疫情期间确保稳定的护理人员队伍。