Burnout syndrome and high risk of Burnout prevalence in Anesthesiology Department in a Mexico City hospital: risk factors and validation of the Maslach Burnout Inventory scale.

Validación de escala Maslach Burnout Inventory

Authors

  • Diego Escarramán Martínez Medical Anesthesiologist, Member of the AVENTHO mechanical ventilation group and the Mexican Society of Critical and Emergency Medicine, Popular Autonomous University of the State of Puebla, Department of Anesthesiology, National Medical Center Hospital of Specialties "La Raza", Mexican Institute of Social Security. Mexico City, Mexico.
  • Valeria Michelle Prieto Diaz Preciado Third-year resident doctor, National Autonomous University of Mexico, Department of Anesthesiology, National Medical Center Hospital de Especialidades "La Raza", Mexican Institute of Social Security. Mexico City, Mexico.
  • Manuel Alberto Guerrero Gutiérrez Anesthesiologist and Critical Physician, Member of the AVENTHO mechanical ventilation group and the Mexican Society of Critical and Emergency Medicine, National Autonomous University of Mexico, Department of Critical Medicine, National Institute of Cancerology, SS. Mexico City, Mexico.
  • Wendy Paola Villegas Gonzales Intern psychology student, Popular Autonomous University of the State of Puebla, Puebla, Mexico.

DOI:

https://doi.org/10.30445/rear.v15i4.1122

Keywords:

síndrome de burnout, agotamiento, Maslach Burnout Inventory, anestesiología

Abstract

Introduction: burnout syndrome (BOS) and high risk for burnout (HRB) represent a latent risk in anesthesiologists, exacerbated by Covid-19 pandemic, due to work overload, stress and fear of contagion, among other factors. The Maslach Burnout Inventory (MBI) is the diagnostic instrument, evaluates three subscales: depersonalization, emotional exhaustion and personal accomplishment.

Material and methods: survey research carried out on doctors and residents of anesthesiology department of "La Raza" Hospital de Especialidades. The reliability of instrument was performed by Cronbach's alpha. Several logistic regression models were built to explore possible risk factors for the different subscales, BOS and HRB.

Results: of the total sample (N=101) the prevalence of BOS was 18.8% and HRB 25.7% respectively. For emotional exhaustion subscale the univariate analysis; time in covid areas (TCA) OR 1.16, 95% CI 0.96 - 1.39, p = 0.10 and last contact covid patient (LCCP) OR 1.14, 95% CI 0.9 - 1.43, p = 0.10 were significant, but only TCA OR 1.23, 95% CI 1.01 - 1.5, p = 0.03 was significant in multivariate model. There was no other significance in the other models (BOS, HRB). There is good reliability for the different MBI subscales.

Conclusion: There is a mean prevalence of HRB compared to BOS (25.7% vs 18.8%) respectively.

Published

2023-05-15 — Updated on 2023-05-17

Versions

How to Cite

Escarramán Martínez, D., Prieto Diaz Preciado , V. M., Guerrero Gutiérrez, M. A. ., & Villegas Gonzales, W. P. . (2023). Burnout syndrome and high risk of Burnout prevalence in Anesthesiology Department in a Mexico City hospital: risk factors and validation of the Maslach Burnout Inventory scale.: Validación de escala Maslach Burnout Inventory. Revista Electrónica AnestesiaR, 15(4). https://doi.org/10.30445/rear.v15i4.1122 (Original work published May 15, 2023)

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Section

Original research articles