Article Text

Prevalence of burnout and its relationship to health status and social support in more than 1000 subspecialty anesthesiologists
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  1. Steve A Hyman1,
  2. Elizabeth Borg Card2,
  3. Oscar De Leon-Casasola3,4,
  4. Matthew S Shotwell5,
  5. Yaping Shi5 and
  6. Matthew B Weinger6,7
  1. 1 Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
  2. 2 Nursing Research, Vanderbilt Nursing, Vanderbilt University Medical Center, Nashville, Tennessee, USA
  3. 3 Anesthesiology, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, USA
  4. 4 Roswell Park Cancer Institute, Buffalo, New York, USA
  5. 5 Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
  6. 6 Anesthesiology, Biomedical Informatics, Medical Education, Vanderbilt University Medical Center, Nashville, Tennessee, USA
  7. 7 Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, Tennessee, USA
  1. Correspondence to Dr Steve A Hyman, Anesthesiology, Vanderbilt University Medical Center, Nashville, TN 37232-2102, USA; steve.hyman{at}vumc.org

Abstract

Background Physician burnout may be at ‘epidemic’ proportions due to factors associated with modern healthcare practice and technology. Practice attributes vary appreciably among subspecialists. Understanding burnout incidence and its associated factors could illuminate potential causes and interventions. We evaluated burnFout, mental and physical health, and social support and coping skills in acute and chronic pain physicians and pediatric and cardiac anesthesiologists.

Methods We administered the Maslach Burnout Inventory Human Services Survey (MBI-HSS), a two-item self-identified burnout measure, the Veterans RAND 12-item Health Survey and the Social Support and Personal Coping Survey to subspecialty society members practicing acute and chronic pain management, pediatric anesthesiology and cardiac anesthesiology. Multivariable regression analysis compared the groups, and adjusted burnout prevalence was compared with an all-physician and an employed general population sample.

Results Among 1303 participants (response rates 21.6%–35.6% among the subspecialty groups), 43.4% met established burnout criteria (range 30.0%–62.3%). Chronic pain physicians had significantly worse scores (unadjusted) than the other three groups of subspecialty anesthesiologists, the all-physician comparator group and the general population comparator group. Mental health inversely correlated with emotional exhaustion and depersonalization in all groups. Self-identified burnout correlated with the full MBI-HSS (R=0.54; positive predictive value of 0.939 (0.917, 0.955)). Physicians’ scores for personal accomplishment were higher than population norms.

Conclusions This study provides data on burnout prevalence and associated demographic, health and social factors in subspecialist anesthesiologists. Chronic pain anesthesiologists had significantly greater burnout than the other groups. The self-identified burnout metric performed well and may be an attractive alternative to the full MBI-HSS.

  • analgesia
  • ethics
  • subspecialties
  • acute pain
  • chronic pain

Data availability statement

Data are available on reasonable request. Data are available on reasonable request. Data are deidentified participant data. Data may be available from SAH (ORCID id: 0000-0002-3888-3924), the corresponding author, on request and execution of a data use agreement.

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Data availability statement

Data are available on reasonable request. Data are available on reasonable request. Data are deidentified participant data. Data may be available from SAH (ORCID id: 0000-0002-3888-3924), the corresponding author, on request and execution of a data use agreement.

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Footnotes

  • Twitter @VUMC_Anes

  • Contributors SAH: literature search, study design, data collection, data analysis and interpretation, writing and editing manuscript. EBC: study design, data collection, data interpretation, writing and editing manuscript. ODL-C: study design, writing and editing manuscript. MSS: study design, data analysis and interpretation, figures, writing and editing manuscript. YS: data analysis and interpretation, figures, writing and editing manuscript. MBW: study design, data analysis and interpretation, writing and editing manuscript.

  • Funding Access to study participants was provided by the American Society of Regional Anesthesia and Pain Medicine (ASRA), the Society for Pediatric Anesthesia (SPA), and the Society of Cardiovascular Anesthesiologists (SCA). Biostatistical and manuscript preparation support was provided by the Department of Anesthesiology and the Center for Research and Innovation in Systems Safety (CRISS).

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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