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Burnout in Pediatric Residents: Comparing Brief Screening Questions to the Maslach Burnout Inventory
Authors:Kathi J. Kemper  Paria M. Wilson  Alan Schwartz  John D. Mahan  Maneesh Batra  Betty B. Staples  Hilary McClafferty  Charles J. Schubert  Janet R. Serwint
Affiliation:1. College of Medicine, The Ohio State University (KJ Kemper);2. Nationwide Children''s Hospital and the Department of Pediatrics, College of Medicine, The Ohio State University College of Medicine (JD Mahan), Columbus, Ohio;3. Department of Pediatrics, University of Cincinnati and Cincinnati Children''s Hospital Medical Center (CJ Schubert), Cincinnati, Ohio;4. Department of Pediatrics, Division of Emergency Medicine (P Wilson), UPMC Children''s Hospital of Pittsburgh, Pittsburgh, Pa;5. Department of Medical Education and Pediatrics (A Schwartz), University of Illinois College of Medicine, Chicago, Ill;6. Department of Pediatrics (M Batra), Seattle Children''s Hospital, Seattle, Wash;7. Department of Pediatrics (B Staples), Duke University Medical Center, Durham, NC;8. Department of Medicine (HMcClafferty), University of Arizona College of Medicine, Tucson, Ariz;9. Department of Pediatrics (JR Serwint), The Johns Hopkins University, Baltimore, Md
Abstract:

Background

Measuring burnout symptoms is important, but the Maslach Burnout Inventory (MBI) has 22 items. This project compared 3 single-item measures with the MBI and other factors related to burnout.

Methods

Data were analyzed from the 2016 and 2017 Pediatric Resident Burnout-Resilience Study Consortium surveys, which included standard measures of perceived stress, mindfulness, resilience, and self-compassion; the MBI; and the 1- and 2-item screening questions.

Results

In 2016 and 2017, data were collected from 1785/2723 (65%) and 2148/3273 (66%) eligible pediatric residents, respectively. Burnout rates on the MBI were 56% in 2016 and 54% in 2017. The Physician Work Life Study item generated estimates of burnout prevalence of 43% to 49% and, compared with the MBI for 2016 and 2017, had sensitivities of 69% to 72%, specificities of 79% to 82%, positive likelihood ratios of 3.4 to 3.8, and negative likelihood ratios of 0.35 to 0.38. The combination of an emotional exhaustion item and a depersonalization item generated burnout estimates of 53% in both years and, compared with the full MBI, had sensitivities of 85% to 87%, specificities of 84% to 85%, positive likelihood ratios of 5.7 to 6.4, and negative likelihood ratios of 0.18 for both years. Both items were significantly correlated with their parent subscales. The single items were significantly correlated with stress, mindfulness, resilience, and self-compassion.

Conclusions

The 1- and 2-item screens generated prevalence estimates similar to the MBI and were correlated with variables associated with burnout. The 1- and 2-item screens may be useful for pediatric residency training programs tracking burnout symptoms and response to interventions.
Keywords:burnout  education  pediatric  resident  resilience  screening
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