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

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 de...

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Autores principales: Sun, Hao, Zhang, Tengfei, Wang, Xinyu, Wang, Caixia, Zhang, Mengqiao, Song, Hongjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10639132/
https://www.ncbi.nlm.nih.gov/pubmed/37954047
http://dx.doi.org/10.3389/fpubh.2023.1270634
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author Sun, Hao
Zhang, Tengfei
Wang, Xinyu
Wang, Caixia
Zhang, Mengqiao
Song, Hongjiang
author_facet Sun, Hao
Zhang, Tengfei
Wang, Xinyu
Wang, Caixia
Zhang, Mengqiao
Song, Hongjiang
author_sort Sun, Hao
collection PubMed
description 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 t-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.
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spelling pubmed-106391322023-11-11 The occupational burnout among medical staff with high workloads after the COVID-19 and its association with anxiety and depression Sun, Hao Zhang, Tengfei Wang, Xinyu Wang, Caixia Zhang, Mengqiao Song, Hongjiang Front Public Health Public Health 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 t-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. Frontiers Media S.A. 2023-10-26 /pmc/articles/PMC10639132/ /pubmed/37954047 http://dx.doi.org/10.3389/fpubh.2023.1270634 Text en Copyright © 2023 Sun, Zhang, Wang, Wang, Zhang and Song. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Sun, Hao
Zhang, Tengfei
Wang, Xinyu
Wang, Caixia
Zhang, Mengqiao
Song, Hongjiang
The occupational burnout among medical staff with high workloads after the COVID-19 and its association with anxiety and depression
title The occupational burnout among medical staff with high workloads after the COVID-19 and its association with anxiety and depression
title_full The occupational burnout among medical staff with high workloads after the COVID-19 and its association with anxiety and depression
title_fullStr The occupational burnout among medical staff with high workloads after the COVID-19 and its association with anxiety and depression
title_full_unstemmed The occupational burnout among medical staff with high workloads after the COVID-19 and its association with anxiety and depression
title_short The occupational burnout among medical staff with high workloads after the COVID-19 and its association with anxiety and depression
title_sort occupational burnout among medical staff with high workloads after the covid-19 and its association with anxiety and depression
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10639132/
https://www.ncbi.nlm.nih.gov/pubmed/37954047
http://dx.doi.org/10.3389/fpubh.2023.1270634
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