Burnout Among Family Physicians in the United States: A Review of the Literature.

BACKGROUND AND OBJECTIVES

Burnout among physicians who work in primary care is an important problem that impacts health care quality, local communities, and the public's health. It can degrade the quality of primary care services in an area and exacerbate workforce shortages. This study conducted a review of the published research on burnout among family physicians working in the United States.

METHODS

We used a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-guided approach and several article databases to identify, filter, and analyze published research on US family physician burnout that uses data collected from 2015 onward.

RESULTS

Thirty-three empirical studies were identified with findings that included US family physician burnout prevalence and/or associations between burnout and specific personal and contextual drivers. Mean family physician burnout prevalence across studies that measured it was 35%. Almost half of the studies classified one-third or more of their family physician samples as burned out. Physician gender (being female), age (being younger), and job/work-related factors (workload, time pressures) were the most commonly identified correlates of family physician burnout. The vast majority of studies were cross-sectional and used secondary data.

CONCLUSIONS

The extant research literature on family physician burnout in the United States shows that burnout is currently a meaningful problem. Several important correlates of the problem can be identified, some of which managers and health care organizations can proactively address. Other correlates require managers and health care organizations also viewing family physicians in differentiated ways. The collective literature can be improved through a more consistent focus on similar burnout correlates across studies; inclusion of interventions aimed at lessening the effects of key burnout correlates; employment of more robust longitudinal and quasi-experimental research designs; and additional pandemic-era data collection on burnout.