Department of Community Health, Behavioral Sciences Research Center, Life Style Institute, Nursing Faculty, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Department of Epidemiology and Biostatistics, Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Front Public Health. 2022 May 25;10:860264. doi: 10.3389/fpubh.2022.860264. eCollection 2022.
PURPOSE: This study was done to assess the dimensions of professional burnout and turnover intention among nurses working in hospitals during the coronavirus disease 2019 (COVID-19) pandemic in Iran based on a structural model. METHODS: This cross-sectional study was performed among 170 nurses working in two referral hospitals of COVID-19 in Tehran Province, Iran, from September to December 2020. Data were collected using the sociodemographic form, Maslach Burnout Inventory (MBI), and Turnover Intention Questionnaire. Data were analyzed with SPSS and Amos software version 22 using independent -test, ANOVA, and structural equation model. RESULTS: The mean scores for burnout in emotional fatigue, depersonalization, and personal accomplishment dimensions were 25.38 ± 7.55, 9.47 ± 4.40, and 34.94 ± 7.80, respectively, moreover for the turnover intention, the score was 6.51 ± 3.17. The reduced personal accomplishment was identified as a positive predictor of turnover intention ( = 0.01). Work position and interest in attending the organization were significantly correlated with the turnover intention ( < 0.05). CONCLUSIONS: There is an immediate need to prepare nurses to cope better with the COVID-19 outbreak. Work-related stressors during the COVID-19 pandemic have led to an increase in nurses' burnout and turnover intention. Identifying and managing the factors related to professional burnout will make it possible to prevent the nurses' turnover intention in such critical situations.
目的:本研究旨在基于结构模型评估伊朗 COVID-19 大流行期间医院护士的职业倦怠和离职意愿维度。
方法:本横断面研究于 2020 年 9 月至 12 月在伊朗德黑兰省的两家 COVID-19 转诊医院对 170 名护士进行,使用社会人口统计学表格、Maslach 倦怠量表(MBI)和离职意愿问卷收集数据。使用独立 -t 检验、方差分析和结构方程模型在 SPSS 和 Amos 软件版本 22 中分析数据。
结果:情绪疲劳、去人性化和个人成就感维度的倦怠平均得分为 25.38 ± 7.55、9.47 ± 4.40 和 34.94 ± 7.80,此外,离职意愿得分为 6.51 ± 3.17。减少的个人成就感被确定为离职意愿的积极预测因子( = 0.01)。工作岗位和对参加组织的兴趣与离职意愿显著相关( < 0.05)。
结论:目前急需使护士做好准备以更好地应对 COVID-19 爆发。COVID-19 大流行期间的工作压力源导致护士倦怠和离职意愿增加。识别和管理与职业倦怠相关的因素将有可能在这种关键情况下防止护士离职。
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