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Burnout among doctors in China through 2020: A systematic review and meta-analysis
OBJECTIVE: To analyze surveys measuring the prevalence of burnout among Chinese doctors and reveal the overall prevalence, characteristics, timeline, and factors related to burnout. METHODS: A comprehensive search was conducted on China National Knowledge Infrastructure, WANFANG, PubMed, EMBASE, Psy...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287156/ https://www.ncbi.nlm.nih.gov/pubmed/35855985 http://dx.doi.org/10.1016/j.heliyon.2022.e09821 |
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author | Zheng, Qin Yang, Kun Zhao, Rui-Jie Wang, Xue Ping, Ping Ou, Zheng-Hang Su, Xiao-Peng Zhang, Jing Qu, Miao |
author_facet | Zheng, Qin Yang, Kun Zhao, Rui-Jie Wang, Xue Ping, Ping Ou, Zheng-Hang Su, Xiao-Peng Zhang, Jing Qu, Miao |
author_sort | Zheng, Qin |
collection | PubMed |
description | OBJECTIVE: To analyze surveys measuring the prevalence of burnout among Chinese doctors and reveal the overall prevalence, characteristics, timeline, and factors related to burnout. METHODS: A comprehensive search was conducted on China National Knowledge Infrastructure, WANFANG, PubMed, EMBASE, PsycINFO and Cochrane Library databases from their inception to 28 February 2021. Random-effects meta-analyses, meta-regression and planned subgroup analyses were performed, and the standardized mean difference was adopted for comparisons between subgroups. Egger’s and Begg’s tests were performed to evaluate publication bias. Heterogeneity across the studies was tested using the I(2) statistic. The study protocol was registered on PROSPERO (CRD42018104249). RESULTS: In total, 3,210 records were reviewed; 64 studies including 48,638 Chinese doctors were eligible for meta-analysis. The prevalence of burnout increased continuously from 2008 to 2017 and decreased significantly from 2018 to 2020, a little increase from 2020 to 2021. The overall prevalence of burnout was 75.48% (95% CI, 69.20 to 81.26; I(2) = 99.23%, P < 0.001), and high burnout was 9.37% (95% CI, 4.91 to 15.05, I(2) = 98.88%, P < 0.001). The prevalence of emotional exhaustion was 48.64% (95% CI, 38.73 to 58.59; I(2) = 99.53%, P < 0.001), depersonalization was 54.67% (95% CI, 46.95 to 62.27; I(2) = 99.20%, P < 0.001), and reduced personal accomplishment was 66.53% (95% CI, 58.13 to 74.44; I(2) = 99.37%, P < 0.001). Gender, marriage, professional title and specialty all influenced burnout. CONCLUSIONS: The results showed that the total prevalence of doctor burnout in China is very high. The prevalence of burnout varies by location. Gender, marital status and professional title all affect burnout scores. |
format | Online Article Text |
id | pubmed-9287156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-92871562022-07-17 Burnout among doctors in China through 2020: A systematic review and meta-analysis Zheng, Qin Yang, Kun Zhao, Rui-Jie Wang, Xue Ping, Ping Ou, Zheng-Hang Su, Xiao-Peng Zhang, Jing Qu, Miao Heliyon Review Article OBJECTIVE: To analyze surveys measuring the prevalence of burnout among Chinese doctors and reveal the overall prevalence, characteristics, timeline, and factors related to burnout. METHODS: A comprehensive search was conducted on China National Knowledge Infrastructure, WANFANG, PubMed, EMBASE, PsycINFO and Cochrane Library databases from their inception to 28 February 2021. Random-effects meta-analyses, meta-regression and planned subgroup analyses were performed, and the standardized mean difference was adopted for comparisons between subgroups. Egger’s and Begg’s tests were performed to evaluate publication bias. Heterogeneity across the studies was tested using the I(2) statistic. The study protocol was registered on PROSPERO (CRD42018104249). RESULTS: In total, 3,210 records were reviewed; 64 studies including 48,638 Chinese doctors were eligible for meta-analysis. The prevalence of burnout increased continuously from 2008 to 2017 and decreased significantly from 2018 to 2020, a little increase from 2020 to 2021. The overall prevalence of burnout was 75.48% (95% CI, 69.20 to 81.26; I(2) = 99.23%, P < 0.001), and high burnout was 9.37% (95% CI, 4.91 to 15.05, I(2) = 98.88%, P < 0.001). The prevalence of emotional exhaustion was 48.64% (95% CI, 38.73 to 58.59; I(2) = 99.53%, P < 0.001), depersonalization was 54.67% (95% CI, 46.95 to 62.27; I(2) = 99.20%, P < 0.001), and reduced personal accomplishment was 66.53% (95% CI, 58.13 to 74.44; I(2) = 99.37%, P < 0.001). Gender, marriage, professional title and specialty all influenced burnout. CONCLUSIONS: The results showed that the total prevalence of doctor burnout in China is very high. The prevalence of burnout varies by location. Gender, marital status and professional title all affect burnout scores. Elsevier 2022-06-28 /pmc/articles/PMC9287156/ /pubmed/35855985 http://dx.doi.org/10.1016/j.heliyon.2022.e09821 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Zheng, Qin Yang, Kun Zhao, Rui-Jie Wang, Xue Ping, Ping Ou, Zheng-Hang Su, Xiao-Peng Zhang, Jing Qu, Miao Burnout among doctors in China through 2020: A systematic review and meta-analysis |
title | Burnout among doctors in China through 2020: A systematic review and meta-analysis |
title_full | Burnout among doctors in China through 2020: A systematic review and meta-analysis |
title_fullStr | Burnout among doctors in China through 2020: A systematic review and meta-analysis |
title_full_unstemmed | Burnout among doctors in China through 2020: A systematic review and meta-analysis |
title_short | Burnout among doctors in China through 2020: A systematic review and meta-analysis |
title_sort | burnout among doctors in china through 2020: a systematic review and meta-analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287156/ https://www.ncbi.nlm.nih.gov/pubmed/35855985 http://dx.doi.org/10.1016/j.heliyon.2022.e09821 |
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