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Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis
The burnout syndrome is characterized by emotional exhaustion, depersonalization, and reduced personal achievement. Uncertainty exists about the prevalence of burnout among medical and surgical residents. Associations between burnout and gender, age, specialty, and geographical location of training...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539366/ https://www.ncbi.nlm.nih.gov/pubmed/31027333 http://dx.doi.org/10.3390/ijerph16091479 |
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author | Low, Zhi Xuan Yeo, Keith A. Sharma, Vijay K. Leung, Gilberto K. McIntyre, Roger S. Guerrero, Anthony Lu, Brett Sin Fai Lam, Chun Chiang Tran, Bach X. Nguyen, Long H. Ho, Cyrus S. Tam, Wilson W. Ho, Roger C. |
author_facet | Low, Zhi Xuan Yeo, Keith A. Sharma, Vijay K. Leung, Gilberto K. McIntyre, Roger S. Guerrero, Anthony Lu, Brett Sin Fai Lam, Chun Chiang Tran, Bach X. Nguyen, Long H. Ho, Cyrus S. Tam, Wilson W. Ho, Roger C. |
author_sort | Low, Zhi Xuan |
collection | PubMed |
description | The burnout syndrome is characterized by emotional exhaustion, depersonalization, and reduced personal achievement. Uncertainty exists about the prevalence of burnout among medical and surgical residents. Associations between burnout and gender, age, specialty, and geographical location of training are unclear. In this meta-analysis, we aimed to quantitatively summarize the global prevalence rates of burnout among residents, by specialty and its contributing factors. We searched PubMed, PsycINFO, Embase, and Web of Science to identify studies that examined the prevalence of burnout among residents from various specialties and countries. The primary outcome assessed was the aggregate prevalence of burnout among all residents. The random effects model was used to calculate the aggregate prevalence, and heterogeneity was assessed by I(2) statistic and Cochran’s Q statistic. We also performed meta-regression and subgroup analysis. The aggregate prevalence of burnout was 51.0% (95% CI: 45.0–57.0%, I(2) = 97%) in 22,778 residents. Meta-regression found that the mean age (β = 0.34, 95% CI: 0.28–0.40, p < 0.001) and the proportion of males (β = 0.4, 95% CI = 0.10–0.69, p = 0.009) were significant moderators. Subgroup analysis by specialty showed that radiology (77.16%, 95% CI: 5.99–99.45), neurology (71.93%, 95% CI: 65.78–77.39), and general surgery (58.39%, 95% CI: 45.72–70.04) were the top three specialties with the highest prevalence of burnout. In contrast, psychiatry (42.05%, 95% CI: 33.09–51.58), oncology (38.36%, 95% CI: 32.69–44.37), and family medicine (35.97%, 95% CI: 13.89–66.18) had the lowest prevalence of burnout. Subgroup analysis also found that the prevalence of burnout in several Asian countries was 57.18% (95% CI: 45.8–67.85); in several European countries it was 27.72% (95% CI: 17.4–41.11) and in North America it was 51.64% (46.96–56.28). Our findings suggest a high prevalence of burnout among medical and surgical residents. Older and male residents suffered more than their respective counterparts. |
format | Online Article Text |
id | pubmed-6539366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65393662019-06-05 Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis Low, Zhi Xuan Yeo, Keith A. Sharma, Vijay K. Leung, Gilberto K. McIntyre, Roger S. Guerrero, Anthony Lu, Brett Sin Fai Lam, Chun Chiang Tran, Bach X. Nguyen, Long H. Ho, Cyrus S. Tam, Wilson W. Ho, Roger C. Int J Environ Res Public Health Review The burnout syndrome is characterized by emotional exhaustion, depersonalization, and reduced personal achievement. Uncertainty exists about the prevalence of burnout among medical and surgical residents. Associations between burnout and gender, age, specialty, and geographical location of training are unclear. In this meta-analysis, we aimed to quantitatively summarize the global prevalence rates of burnout among residents, by specialty and its contributing factors. We searched PubMed, PsycINFO, Embase, and Web of Science to identify studies that examined the prevalence of burnout among residents from various specialties and countries. The primary outcome assessed was the aggregate prevalence of burnout among all residents. The random effects model was used to calculate the aggregate prevalence, and heterogeneity was assessed by I(2) statistic and Cochran’s Q statistic. We also performed meta-regression and subgroup analysis. The aggregate prevalence of burnout was 51.0% (95% CI: 45.0–57.0%, I(2) = 97%) in 22,778 residents. Meta-regression found that the mean age (β = 0.34, 95% CI: 0.28–0.40, p < 0.001) and the proportion of males (β = 0.4, 95% CI = 0.10–0.69, p = 0.009) were significant moderators. Subgroup analysis by specialty showed that radiology (77.16%, 95% CI: 5.99–99.45), neurology (71.93%, 95% CI: 65.78–77.39), and general surgery (58.39%, 95% CI: 45.72–70.04) were the top three specialties with the highest prevalence of burnout. In contrast, psychiatry (42.05%, 95% CI: 33.09–51.58), oncology (38.36%, 95% CI: 32.69–44.37), and family medicine (35.97%, 95% CI: 13.89–66.18) had the lowest prevalence of burnout. Subgroup analysis also found that the prevalence of burnout in several Asian countries was 57.18% (95% CI: 45.8–67.85); in several European countries it was 27.72% (95% CI: 17.4–41.11) and in North America it was 51.64% (46.96–56.28). Our findings suggest a high prevalence of burnout among medical and surgical residents. Older and male residents suffered more than their respective counterparts. MDPI 2019-04-26 2019-05 /pmc/articles/PMC6539366/ /pubmed/31027333 http://dx.doi.org/10.3390/ijerph16091479 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Low, Zhi Xuan Yeo, Keith A. Sharma, Vijay K. Leung, Gilberto K. McIntyre, Roger S. Guerrero, Anthony Lu, Brett Sin Fai Lam, Chun Chiang Tran, Bach X. Nguyen, Long H. Ho, Cyrus S. Tam, Wilson W. Ho, Roger C. Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis |
title | Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis |
title_full | Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis |
title_fullStr | Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis |
title_full_unstemmed | Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis |
title_short | Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis |
title_sort | prevalence of burnout in medical and surgical residents: a meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539366/ https://www.ncbi.nlm.nih.gov/pubmed/31027333 http://dx.doi.org/10.3390/ijerph16091479 |
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