Social, Individual, and Environmental Characteristics of Family Medicine Resident Burnout: A CERA Study

Burnout impacts medical students, residents, and practicing physicians. Existing research oversimplifies characteristics associated with burnout. Our study examined relationships between burnout, depressive symptoms, and evidence-based risk factors.

Our study questions were part of a larger survey conducted by the Council of Academic Family Medicine Educational Research Alliance (CERA), from May 9-23, 2020. Three emails were used to recruit a national sample of family medicine residents (n=283; questions completed via Survey Monkey). We determined descriptive statistics (frequency, means) for demographic and work environment characteristics, UCLA Loneliness Scale items, health behaviors, burnout (emotional exhaustion, depersonalization), and depressive symptoms. Multivariate data analysis included developing three logistic regression (LR) equations (emotional exhaustion, depersonalization, depressive symptoms) based on four blocks of potential risk factors (demographics, work environment characteristics, UCLA Loneliness items, and health behaviors).

Rates of psychological distress included 33.1% emotional exhaustion, 31.1% depersonalization, and 53.0% depressive symptoms. We determined stepwise forward-entry LR models for emotional exhaustion (feel isolated OR=6.89, low quality of wellness program OR=5.91, and low companionship OR=4.82); depersonalization (feel isolated OR=5.59, low quality of wellness program OR=15.11, graduate US osteopathic medical school OR=0.329, and African American OR=7.55); and depressive symptoms (feel isolated OR=5.31, inadequate time for restful sleep OR=0.383, and no dependent children OR=2.14).

Current findings document substantial social disconnection, substandard residency wellness programs, inadequate time for exercise, sleep, and other forms of self-care in addition to substantial levels of emotional exhaustion, depersonalization, and depressive symptoms. We explore implications for the design of future burnout prevention efforts and research.