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Burnout in residents during the first wave of the COVID-19 pandemic: a systematic review and meta-analysis

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Introduction: The high prevalence of burnout in resident physicians is expected to have increased as a result of the expansion of the pandemic. We conducted a systematic review with a meta-analysis of studies conducted during the first wave of the COVID-19 pandemic on burnout in residents and potential associated risk factors.
Methods: The search was done in the Web of Science, MEDLINE, Scopus, and Lillac databases (April 2020-October 2021) using a priori protocol based on the PRISMA guidelines. The Newcastle Ottawa Scale was used to assess the risk of bias in the included studies. We estimated the pooled prevalence (95% CI) of burnout and the prevalence ratio (95% CI) of each risk factor associated.
Results: We included 23 studies from 451 potential initial articles and those written in the English language; all of the collected studies were cross-sectional with anonymous online surveys, involving 4,998 responders (34%), of which 53.2% were female responders, 51% were R1-2, and 71% were in direct contact with COVID-19 patients. Eighty-seven percent presented a low-to-moderate risk of bias. Publication bias was not shown. The estimated pooled prevalence of burnout was 40% (95% CI = 0.26 - 0.57). Burnout was associated with psychiatry history (PR = 4.60, 95% CI = 1.06 - 20.06). There were no differences by gender, civil status, children in-charge, year of residency, or time exposure to COVID-19.
Discussion: The overall prevalence of burnout in residents during the first wave of the pandemic was in line with the results described in this collective before the pandemic. The presence of a psychiatry history was a potential burnout risk factor, suggesting a high vulnerability during the peak of the stress period and the need to implement mental health surveillance for this subgroup.

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Articles publicats en revistes (Medicina)

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Burnout in residents during the first wave of the COVID-19 pandemic: a systematic review and meta-analysis