The impact of physician burnout on clinical and academic productivity of gynecologic oncologists: A decision analysis

Gynecol Oncol. 2017 Sep;146(3):642-646. doi: 10.1016/j.ygyno.2017.06.026. Epub 2017 Jun 24.

Abstract

Objective: Physician burnout is associated with mental illness, alcohol abuse, and job dissatisfaction. Our objective was to estimate the impact of burnout on productivity of gynecologic oncologists during the first half of their career.

Methods: A decision model evaluated the impact of burnout on total relative value (RVU) production during the first 15years of practice for gynecologic oncologists entering the workforce from 2011 to 2015. The SGO practice survey provided physician demographics and mean annual RVUs. Published data were used to estimate probability of burnout for male and female gynecologic oncologists, and the impact of depression, alcohol abuse, and early retirement. Academic productivity was defined as annual PubMed publications since finishing fellowship.

Results: Without burnout, RVU production for the cohort of 250 gynecologic oncologists was 26.2 million (M) RVUs over 15years. With burnout, RVU production decreased by 1.6 M (5.9% decrease). Disproportionate rates of burnout among females resulted in 1.1 M lost RVUs for females vs. 488 K for males. Academic production without burnout was estimated at 9277 publications for the cohort. Burnout resulted in 1383 estimated fewer publications over 15years (14.9%).

Conclusions: The impact of burnout on clinical and academic productivity is substantial across all specialties. As health care systems struggle with human resource shortages, this study highlights the need for effective burnout prevention and wellness programs for gynecologic oncologists. Unless significant resources are designated to wellness programs, burnout will increasingly affect the care of our patients and the advancement of our field.

Keywords: Decision model; Physician burnout; Productivity.

MeSH terms

  • Alcoholism / psychology
  • Burnout, Professional / psychology*
  • Decision Support Techniques
  • Depression / psychology
  • Efficiency*
  • Female
  • Gynecology*
  • Humans
  • Male
  • Models, Statistical*
  • Oncologists / psychology
  • Oncologists / statistics & numerical data*
  • Probability
  • Relative Value Scales
  • Retirement
  • Serial Publications / statistics & numerical data*
  • Sex Factors
  • Surveys and Questionnaires