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COVID-19 后高工作量医务人员职业倦怠及其与焦虑和抑郁的关系。

The occupational burnout among medical staff with high workloads after the COVID-19 and its association with anxiety and depression.

机构信息

Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.

Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.

出版信息

Front Public Health. 2023 Oct 26;11:1270634. doi: 10.3389/fpubh.2023.1270634. eCollection 2023.

DOI:10.3389/fpubh.2023.1270634
PMID:37954047
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10639132/
Abstract

OBJECTIVE

After the end of COVID-19, medical staff were immediately faced with a high workload, leading to widespread occupational burnout. This study aims to explore the level and influencing factors of burnout among medical staff during this period, as well as its relationship with anxiety and depression.

METHODS

The participants' levels of burnout were assessed using Maslach Burnout Inventory-Human Services Survey (MBI-HSS), and the reliability and validity of the questionnaire were evaluated through Cronbach's α and Confirmatory Factor Analysis (CFA). Independent sample -test, chi-square test, and Pearson analysis were employed to determine the correlation between two sets of variables. Univariate and multivariate logistic regression analyses were conducted to identify significant factors influencing burnout. Finally, nomograms were used to predict the probability of burnout occurrence.

RESULTS

This study collected a total of 1,550 questionnaires, and after excluding 45 questionnaires that were duplicates or incomplete, a sample of 1,505 (97.1%) participants were included in the final statistical analysis. Both Cronbach's α and the fit indices of CFA demonstrated excellent adaptability of the Chinese version of MBI-HSS in this study. The overall prevalence rates for emotional exhaustion (EE), depersonalization (DP), and diminished personal accomplishment (PA) were 52.4, 55.3, and 30.6%, respectively. Obtaining psychological support, health condition, relationship with family members, and insufficient sleep were identified as common contributing factors to burnout among medical staff. Additionally, age and promotion pressure were also associated with burnout among doctors, and exceeding legal working hours was an important factor for nurse burnout. The C-index for the nomograms predicting burnout among doctors and nurses was 0.832 and 0.843, respectively. Furthermore, burnout exhibited a significant linear correlation with anxiety and depression.

CONCLUSION

After the end of COVID-19, medical staff in high workload environments were facing severe burnout, which might lead to anxiety and depression. The occupational burnout of medical staff needed to be taken seriously and actively intervened.

摘要

目的

新冠疫情结束后,医务人员立即面临高工作量,导致职业倦怠广泛发生。本研究旨在探讨这一时期医务人员倦怠的水平和影响因素,以及其与焦虑和抑郁的关系。

方法

采用 Maslach 职业倦怠量表(MBI-HSS)评估参与者的倦怠水平,通过 Cronbach's α 和验证性因子分析(CFA)评估问卷的信度和效度。采用独立样本 t 检验、卡方检验和 Pearson 分析确定两组变量之间的相关性。采用单因素和多因素 logistic 回归分析确定影响倦怠的显著因素。最后,使用列线图预测倦怠发生的概率。

结果

本研究共收集了 1550 份问卷,剔除 45 份重复或不完整的问卷后,最终有 1505 份(97.1%)有效问卷纳入最终的统计分析。Cronbach's α 和 CFA 的拟合指数均表明,MBI-HSS 的中文版在本研究中具有良好的适应性。情感耗竭(EE)、去人格化(DP)和个人成就感降低(PA)的总体患病率分别为 52.4%、55.3%和 30.6%。获得心理支持、健康状况、与家庭成员的关系以及睡眠不足是医务人员倦怠的常见促成因素。此外,年龄和晋升压力也是医生倦怠的相关因素,超过法定工作时间是护士倦怠的重要因素。列线图预测医生和护士倦怠的 C 指数分别为 0.832 和 0.843。此外,倦怠与焦虑和抑郁呈显著线性相关。

结论

新冠疫情结束后,高工作量环境下的医务人员面临严重的倦怠,可能导致焦虑和抑郁。医务人员的职业倦怠需要引起重视并积极干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/02dfbdf0f6d9/fpubh-11-1270634-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/8c9ed95a5d32/fpubh-11-1270634-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/fa160713f1ea/fpubh-11-1270634-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/5818647a7eaf/fpubh-11-1270634-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/0c404ba6c49b/fpubh-11-1270634-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/02dfbdf0f6d9/fpubh-11-1270634-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/8c9ed95a5d32/fpubh-11-1270634-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/fa160713f1ea/fpubh-11-1270634-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/5818647a7eaf/fpubh-11-1270634-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/0c404ba6c49b/fpubh-11-1270634-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/10639132/02dfbdf0f6d9/fpubh-11-1270634-g005.jpg

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