Burnout Levels and Patterns in Postgraduate Medical Trainees: A Systematic Review and Meta-Analysis

Postgraduate medical trainees experience high rates of burnout; however, inconsistencies in definitions of burnout characterize this literature. The authors conducted a systematic review and meta-analysis examining burnout levels and patterns in postgraduate medical trainees, using a continuous conceptualization of burnout, consistent with the Maslach Burnout Inventory (MBI) framework.

The authors searched 5 electronic databases (Cochrane Library, Embase, ERIC, Ovid MEDLINE, Ovid PsycINFO) between January 1981 and July 2019 for studies reporting postgraduate medical trainees' burnout levels using the MBI-Human Services Survey. They examined study reporting quality using the QualSyst quality appraisal tool and calculated standardized mean differences (Hedges' g), comparing trainees' data with MBI norms for medicine and the overall population using a random effects model. They explored between-study heterogeneity using subgroup analyses (i.e., by training level and specialty). Finally, they studied the combined contribution of these 2 variables (and year of study publication) to burnout levels, using meta-regression.

The authors identified 2,978 citations and included 89 independent studies in their review. They pooled the data for the 18,509 postgraduate trainees included in these studies for the meta-analyses. Reporting quality was generally high across the included studies. The meta-analyses revealed higher burnout levels among trainees compared with medicine and overall population norms, particularly for the depersonalization subscale. The authors also identified statistically significant differences between nonsurgical and surgical registrars (specialty trainees), with trainees from 12 individual specialties exhibiting unique burnout patterns.

There is a need to reduce and prevent burnout early in medical training. Given the differences in burnout levels and patterns across specialties, interventions must focus on the unique patterns exhibited by each specialty in the target population using a multidimensional approach. Standardizing the definition of burnout in accordance with the MBI framework will facilitate progression of this work.