Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Public Health. 2021 Jun;195:15-17. doi: 10.1016/j.puhe.2021.04.004. Epub 2021 May 21.
The objective of this study was to measure the burden of burnout in a sample of healthcare workers (HCWs) consisting of general practitioners, professors from the Faculty of Medicine and Surgery, nurses, medical students and nursing students.
Cross-sectional questionnaire survey.
A descriptive analysis was carried out, using averages, medians, standard deviations (SD) and ranges for quantitative variables. Univariate, bivariate and multivariate analyses were also performed.
In total, 535 HCWs completed the survey. Multivariate analysis shows that increasing age (β = -0.183; P = 0.047), being a university professor (β = -0.118; P = 0.001), having a high physical score (β = -0.370; P < 0.001) and a high mental score (β = -0.574; P < 0.001) resulted in less personal burnout. Low work burnout was associated with being a student (β = -0.144; P < 0.001), a university professor (β = -0.146; P < 0.001), having a high physical score (β = -0.366; P < 0.001) and having a high mental score (β = -0.648; P < 0.001). Being female (β = -0.122; P < 0.001), a university professor (β = -0.333; P = 0.001), a student (β = -0.433; P < 0.001), having a high physical score (β = -0.26; P < 0.01) and having a high mental score (β = -0.460; P < 0.001) were predictors for reduced client burnout. However, high client burnout was seen in individuals who had a commuting time >30 min (β = 0.084; P = 0.012) predicts.
This study shows that burnout is an important issue among HCWs and that prevention strategies must be considered, with a particular focus on physical and mental health.
本研究旨在衡量一个由全科医生、医学院和外科学院教授、护士、医学生和护理学生组成的医护人员(HCW)样本中的倦怠负担。
横断面问卷调查。
使用平均值、中位数、标准差(SD)和范围对定量变量进行描述性分析。还进行了单变量、双变量和多变量分析。
共有 535 名 HCW 完成了调查。多变量分析表明,年龄增长(β=-0.183;P=0.047)、身为大学教授(β=-0.118;P=0.001)、身体评分高(β=-0.370;P<0.001)和心理评分高(β=-0.574;P<0.001)与个人倦怠程度降低有关。工作倦怠程度低与学生(β=-0.144;P<0.001)、大学教授(β=-0.146;P<0.001)、身体评分高(β=-0.366;P<0.001)和心理评分高(β=-0.648;P<0.001)有关。女性(β=-0.122;P<0.001)、大学教授(β=-0.333;P=0.001)、学生(β=-0.433;P<0.001)、身体评分高(β=-0.26;P<0.01)和心理评分高(β=-0.460;P<0.001)是降低客户倦怠的预测因素。然而,通勤时间>30 分钟的个体(β=0.084;P=0.012)倦怠程度较高。
本研究表明,倦怠是 HCW 中的一个重要问题,必须考虑预防策略,特别关注身心健康。