Physician's Burnout during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

Abdulmajeed A Alkhamees1, Moath S Aljohani2, Simindokht Kalani3

  • 1Department of Medicine, Unayzah College of Medicine and Medical Sciences, Qassim University, Unayzah 52571, Saudi Arabia.

Insights

Physician burnout rates during COVID-19 varied widely due to inconsistent definitions and assessment tools. Standardized diagnostic indices are needed for accurate burnout measurement in healthcare professionals.

Area of Science:

  • Medical Research
  • Public Health
  • Epidemiology

Background:

  • Physician burnout rates were anticipated to increase during the COVID-19 pandemic due to heightened physical and emotional stressors.
  • Existing studies on COVID-19's impact on physician burnout have yielded inconsistent findings.
  • A systematic review and meta-analysis were conducted to evaluate the epidemiology and risk factors of physician burnout during the pandemic.

Approach:

  • A comprehensive systematic search was performed across multiple databases including PubMed, Scopus, and pre-print services.
  • Studies published between January 1, 2020, and September 1, 2021, focusing on physician burnout were included.
  • Rigorous screening of titles, abstracts, and full texts resulted in the inclusion of 30 studies for final analysis.

Key Points:

  • The prevalence of physician burnout reported in the included studies ranged significantly from 6.0% to 99.8%.
  • This wide variation is attributed to heterogeneity in burnout definitions, assessment tools, and cultural factors.
  • Further research should incorporate factors like psychiatric disorders and work-related/cultural elements in burnout assessments.

Conclusions:

  • A significant and wide range in physician burnout prevalence was observed during the COVID-19 pandemic.
  • Inconsistent diagnostic criteria and assessment methodologies contribute to the variability in reported burnout rates.
  • Establishing consistent diagnostic indices for burnout assessment is crucial for standardized scoring and interpretation in healthcare settings.

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