Global Estimate of Burnout Among the Public Health Workforce: a Systematic Review and Meta-analysis

Introduction: Burnout is an occupational phenomenon resulting from chronic workplace stress. We conducted this review to estimate the pooled global prevalence of burnout among the public health workforce.

Methods: We conducted this review as per the PRISMA 2020 guidelines. We included only cross-sectional studies reporting outcome estimates among the study population. We included articles published before December 2023. We used a search strategy to systematically select the articles from PubMed, Embase, and Google Scholar. We assessed the quality of the studies using an adapted version of NIH's study tool assessment for cross-sectional and observational cohort studies. We estimated the pooled proportion using the random-effects model.

Results: We included eight studies in our review, covering a sample size of 215,787. The pooled proportion of burnout was 39% (95% CI: 25-53%; p-value: < 0.001). We also identified high heterogeneity among the included studies in our review (I: 99.67%; p-value: < 0.001). Seven out of the eight studies were of good quality. The pooled proportion of the studies conducted during the COVID-19 pandemic was 42% (95% CI: 17-66%), whereas for the studies conducted during the non-pandemic period, it was 35% (95% CI: 10-60%).

Conclusion: In our review, more than one-third of public health workers suffer from burnout, which adversely affects individuals' mental and physical health. Burnout among the public health workforce requires attention to improve the well-being of this group. Multisite studies using standardized definitions are needed for appropriate comparisons and a better understanding of variations in burnout in various subgroups based on sociodemographic characteristics and type of work responsibilities. We must design and implement workplace interventions to cope with burnout and increase well-being.

Limitations: Due to the limited research on burnout among public health workers, we could not perform a subgroup analysis on various factors that could have contributed to burnout.