Predictors Between the Subcomponents of Burnout Among Radiology Trainees |
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| Affiliation: | 1. Rochester General Hospital, Rochester, New York;2. UF Health Jacksonville, Jacksonville, Florida;1. Breast Imaging and Nuclear Medicine Sections, Department of Radiology and Imaging Sciences, University of Utah, and Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, Salt Lake City, Utah;1. Division of Vascular and Interventional Radiology, Department of Radiology, University of Michigan Health System, Ann Arbor, Michigan;2. Department of Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania;3. Division of Interventional Radiology, Department of Radiology, University of California Los Angeles, Los Angeles, California;4. Department of Information and Statistics, Chungnam National University, Daejeon, South Korea;5. Department of Radiology, NYU Langone Medical Center, New York, New York;6. Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana;7. University of North Dakota School of Medicine and Health Sciences, Bismarck, North Dakota;8. Section of Interventional Radiology, Department of Radiology, Seattle Children’s Hospital, University of Washington, Seattle, Washington;9. Cardiovascular and Interventional Radiology, Inova Alexandria Hospital, 4320 Seminary Road, Alexandria, VA 22304;1. Senior Vice Chair, Department of Radiology, Brigham and Women’s Hospital, Center for Evidence-Based Imaging, Harvard Medical School, Boston, Massachusetts;2. Department of Radiology, Brigham and Women''s Hospital, Center for Evidence-Based Imaging, Harvard Medical School, Boston, Massachusetts;3. Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts;4. Chair of Department of Radiology, Brigham and Women''s Hospital, Harvard Medical School, Boston, Massachusetts;5. Vice Chair of Quality/Safety, Department of Radiology, Brigham and Women’s Hospital, Center for Evidence-Based Imaging, Harvard Medical School, Boston, Massachusetts;6. Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts |
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| Abstract: | ObjectiveThe aim of this study was to investigate the effect of various predictors on burnout among radiology residents during their training.MethodsIn this cross-sectional analysis, we distributed the Maslach Burnout Index for Medical Personnel (MBI-HSS [MP]) to eligible United States (US) radiology residents. Covariates of interest included age, child status, debt burden, partner status, and self-identified gender. Primary outcomes include MBI-HSS (MP) subcomponent scores – emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA). Mann-Whitney tests were used to compare averages between groups.ResultsOut of the 770 of 2823 residents (27.3%) who responded, 488 of 770 completed the MBI-HSS (MP). During the R1 year, male sex was associated with marginally higher PA scores (36.5 versus 33.5; P = .029). Having children or a partner was associated with lower EE scores (18.7 versus 26.8, P = .012; 22 versus 28.9, P = .022, respectively) and higher PA scores (37 vs 32.7, P = .024; 35 versus 31.3, P = .039, respectively) among the R3 cohort. Reporting debt < $200,000 was associated with lower EE scores among the R3 (21.2 versus 27.3, P = .028) and R4 (16.4 versus 21.9, P = .033) cohort.DiscussionThere are several predictors of burnout that transiently impact residents at different years of training and primarily impact EE or PA, but not DP scores. R3 residents' scores are most sensitive to these covariates. |
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| Keywords: | Burnout residency radiology stress wellness |
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