Home Research Research Library Lower Likelihood of Burnout Among Family Physicians From Underrepresented Racial-Ethnic Groups Lower Likelihood of Burnout Among Family Physicians From Underrepresented Racial-Ethnic Groups 2021 Author(s) Douglas, Montgomery, Coman, Emil, Eden, Aimee R, Abiola, Suleiman, and Grumbach, Kevin Topic(s) Role of Primary Care Keyword(s) Practice Innovations, and Practice Organization / Ownership Volume Annals of Family Medicine Source Annals of Family Medicine PURPOSE We investigated whether physician race and ethnicity were associated with burnout among a nationally representative sample of family physicians.METHODS We undertook a cross-sectional observational study using survey data from 1,510 American Board of Family Medicine recertification applicants in 2017 and 1,586 respondents to the 2017 National Graduate Survey. Of the 3,096 total family physicians, 450 (15%) were from racial and ethnic groups underrepresented in medicine. We used structural equation models to test the effects of underrepresented status on single-item measures of emotional exhaustion and depersonalization.RESULTS Family physicians underrepresented in medicine were significantly less likely than their non-underrepresented counterparts to report emotional exhaustion (adjusted odds ratio = 0.82; 95% CI, 0.69-0.99; total effect) and depersonalization (adjusted odds ratio = 0.54; 95% CI, 0.41-0.71; total effect). The underrepresented physicians were more likely than non-underrepresented peers to practice in more racially and ethnically diverse counties and less likely to practice obstetrics, both of which partly mediated the protective effect of underrepresented status on depersonalization.CONCLUSIONS Although factors such as racism might be expected to adversely affect the well-being of underrepresented clinicians, underrepresented family physicians reported a lower frequency of emotional exhaustion and depersonalization. The mediating protective effect of working in more racially and ethnically diverse counties is consistent with evidence of the beneficial effect of cultural diversity on health outcomes for minorities. Because physician burnout is a known predictor of job turnover and may also be associated with poorer quality of care, the lower burnout observed among underrepresented family physicians may be an asset for the health care system as a whole. ABFM Research Read all 1987 Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations Go to Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations 2022 Academic Medicine’s Fourth Mission: Building on Community-Oriented Primary Care to Achieve Community-Engaged Health Care Go to Academic Medicine’s Fourth Mission: Building on Community-Oriented Primary Care to Achieve Community-Engaged Health Care 2025 Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis Go to Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis 2020 The Evolving Family Medicine Team Go to The Evolving Family Medicine Team
Author(s) Douglas, Montgomery, Coman, Emil, Eden, Aimee R, Abiola, Suleiman, and Grumbach, Kevin Topic(s) Role of Primary Care Keyword(s) Practice Innovations, and Practice Organization / Ownership Volume Annals of Family Medicine Source Annals of Family Medicine
ABFM Research Read all 1987 Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations Go to Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations 2022 Academic Medicine’s Fourth Mission: Building on Community-Oriented Primary Care to Achieve Community-Engaged Health Care Go to Academic Medicine’s Fourth Mission: Building on Community-Oriented Primary Care to Achieve Community-Engaged Health Care 2025 Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis Go to Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis 2020 The Evolving Family Medicine Team Go to The Evolving Family Medicine Team
1987 Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations Go to Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations
2022 Academic Medicine’s Fourth Mission: Building on Community-Oriented Primary Care to Achieve Community-Engaged Health Care Go to Academic Medicine’s Fourth Mission: Building on Community-Oriented Primary Care to Achieve Community-Engaged Health Care
2025 Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis Go to Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis