National Survey of Burnout among US General Surgery Residents

J Am Coll Surg. 2016 Sep;223(3):440-51. doi: 10.1016/j.jamcollsurg.2016.05.014. Epub 2016 May 26.

Abstract

Background: Burnout is a complex syndrome of emotional distress that can disproportionately affect individuals who work in health care professions.

Study design: For a national survey of burnout in US general surgery residents, we asked all ACGME-accredited general surgery program directors to email their general surgery residents an invitation to complete an anonymous, online survey. Burnout was assessed with the Maslach Burnout Inventory; total scores for Emotional Exhaustion (EE), Depersonalization (DP), and Personal Accomplishment (PA) subscales were calculated. Burnout was defined as having a score in the highest tertile for EE or DP or lowest tertile for PA. Chi-square tests and one-way ANOVA were used to test associations between burnout tertiles for each subscale and various resident and training-program characteristics as appropriate.

Results: From April to December 2014, six hundred and sixty-five residents actively engaged in clinical training had data for analysis; 69% met the criterion for burnout on at least one subscale. Higher burnout on each subscale was reported by residents planning private practice careers compared with academic careers. A greater proportion of women than men reported burnout on EE and PA. Higher burnout on EE and DP was associated with greater work hours per week. Having a structured mentoring program was associated with lower burnout on each subscale.

Conclusions: The high rates of burnout among general surgery residents are concerning, given the potential impact of burnout on the quality of patient care. Efforts to identify at-risk populations and to design targeted interventions to mitigate burnout in surgical trainees are warranted.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Burnout, Professional / epidemiology*
  • Female
  • General Surgery / education*
  • Humans
  • Internship and Residency / statistics & numerical data*
  • Male
  • Prevalence
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • United States / epidemiology
  • Workload