Longitudinal Analyses of Pediatrician Burnout

Acad Pediatr. 2019 Apr;19(3):256-262. doi: 10.1016/j.acap.2018.11.006. Epub 2018 Nov 7.

Abstract

Objective: Utilize the unique capabilities of a longitudinal design to 1) examine whether burnout is increasing over time among 2 cohorts of pediatricians, and 2) identify factors associated with decreased burnout.

Methods: Data from a national longitudinal study, the American Academy of Pediatrics Pediatrician Life and Career Experience Study, were used to examine self-reported burnout over a 5-year period (2012 to 2016) among 2002 to 2004 and 2009 to 2011 residency graduates (N = 1804). Study participation rates ranged from 94% in 2012 to 85% in 2016. Mixed-effects logistic regression for longitudinal analysis was used to examine burnout over time.

Results: In any given year, between 20% and 35% of study pediatricians reported that they were currently experiencing burnout. Significant increases in burnout over time were found for all participants combined and for each subgroup examined. Several factors were associated with reduced burnout. The largest associations with reduced burnout were found for increased flexibility in work schedule (adjusted odds ratio [aOR], 0.28; 95% confidence interval [CI], 0.22-0.35), decreased work busyness (aOR, 0.28; 95% CI, 0.22-0.36), or a job change (aOR, 0.48; 95% CI, 0.36-0.65).

Conclusions: Following 5 years of participation in a longitudinal study, more than 1 in 3 early- to mid-career pediatricians reported experiencing burnout. This represents a 75% relative increase in burnout from the start of the study. Specific characteristics of pediatricians' jobs, such as flexible work schedules and busyness of work settings, were most strongly associated with reduced burnout.

Keywords: burnout; longitudinal analyses; pediatric workforce; pediatrician wellness.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Burnout, Professional / epidemiology*
  • Female
  • Humans
  • Logistic Models
  • Longitudinal Studies
  • Male
  • Odds Ratio
  • Pediatricians / psychology
  • Pediatricians / statistics & numerical data*
  • Personnel Staffing and Scheduling / statistics & numerical data*
  • Protective Factors
  • United States / epidemiology
  • Workload / statistics & numerical data*