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Assessment of burnout in medical students using the Maslach Burnout Inventory-Student Survey: a cross-sectional data analysis

BACKGROUND: Medical student burnout can cause emotional and physical exhaustion and detachment. The objectives of this study were to evaluate burnout using the Maslach Burnout Inventory-Student Survey (MBI-SS), identify factors that may predict burnout, and assess wellness initiatives effectiveness...

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Autores principales: Obregon, Michael, Luo, Jessica, Shelton, Jarod, Blevins, Terri, MacDowell, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579892/
https://www.ncbi.nlm.nih.gov/pubmed/33087080
http://dx.doi.org/10.1186/s12909-020-02274-3
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author Obregon, Michael
Luo, Jessica
Shelton, Jarod
Blevins, Terri
MacDowell, Martin
author_facet Obregon, Michael
Luo, Jessica
Shelton, Jarod
Blevins, Terri
MacDowell, Martin
author_sort Obregon, Michael
collection PubMed
description BACKGROUND: Medical student burnout can cause emotional and physical exhaustion and detachment. The objectives of this study were to evaluate burnout using the Maslach Burnout Inventory-Student Survey (MBI-SS), identify factors that may predict burnout, and assess wellness initiatives effectiveness at reducing burnout. METHODS: The MBI-SS was administered to all medical students (Classes 2019 to 2022) at the University of Illinois College of Medicine (UICOM) from February to May 2019. Factor analysis and internal consistency of the MBI-SS were assessed. Mean MSBI-SS subscale scores for burnout were calculated for cynicism (CY), emotional exhaustion (EE), and academic efficacy (AE). Multiple regression analysis was used to identify student factors that may predict burnout. RESULTS: A total of 273 (21.6%) UICOM students completed the survey and 110 (40.3%) respondents reported self-perceived burnout. MBI-SS subscale scores were significantly higher for CY and EE, and significantly lower for AE in students who reported suffering from burnout versus students who did not report burnout. Mean ± SD subscale scores for CY, EE, and AE in burnout students were 14.44 ± 5.59, 23.23 ± 4.74, and 24.81 ± 5.35, respectively. In comparison, mean ± SD subscale scores for CY, EE, and AE in non-burnout students were 7.59 ± 5.16, 14.96 ± 5.71, and 28.74 ± 3.21, respectively. Regression analysis denoted significant associations between burnout and being out-of-phase in the curriculum, the effectiveness of wellness initiatives, and strength of motivation for medical school (SMMS) in both the two- and three-dimensional MBI-SS models. Gender was significantly associated with burnout in only the two-dimensional model. CONCLUSIONS: Self-reported burnout in medical students at UICOM was validated using the MBI-SS. Being out-of-phase in the curriculum, being female, rating wellness initiatives as less effective, and demonstrating lower motivation for continued medical school education may be used as predictors of medical student burnout. This investigation may act as a guide for measuring burnout in medical student populations and how the implementation of wellness initiatives may ameliorate burnout.
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spelling pubmed-75798922020-10-22 Assessment of burnout in medical students using the Maslach Burnout Inventory-Student Survey: a cross-sectional data analysis Obregon, Michael Luo, Jessica Shelton, Jarod Blevins, Terri MacDowell, Martin BMC Med Educ Research Article BACKGROUND: Medical student burnout can cause emotional and physical exhaustion and detachment. The objectives of this study were to evaluate burnout using the Maslach Burnout Inventory-Student Survey (MBI-SS), identify factors that may predict burnout, and assess wellness initiatives effectiveness at reducing burnout. METHODS: The MBI-SS was administered to all medical students (Classes 2019 to 2022) at the University of Illinois College of Medicine (UICOM) from February to May 2019. Factor analysis and internal consistency of the MBI-SS were assessed. Mean MSBI-SS subscale scores for burnout were calculated for cynicism (CY), emotional exhaustion (EE), and academic efficacy (AE). Multiple regression analysis was used to identify student factors that may predict burnout. RESULTS: A total of 273 (21.6%) UICOM students completed the survey and 110 (40.3%) respondents reported self-perceived burnout. MBI-SS subscale scores were significantly higher for CY and EE, and significantly lower for AE in students who reported suffering from burnout versus students who did not report burnout. Mean ± SD subscale scores for CY, EE, and AE in burnout students were 14.44 ± 5.59, 23.23 ± 4.74, and 24.81 ± 5.35, respectively. In comparison, mean ± SD subscale scores for CY, EE, and AE in non-burnout students were 7.59 ± 5.16, 14.96 ± 5.71, and 28.74 ± 3.21, respectively. Regression analysis denoted significant associations between burnout and being out-of-phase in the curriculum, the effectiveness of wellness initiatives, and strength of motivation for medical school (SMMS) in both the two- and three-dimensional MBI-SS models. Gender was significantly associated with burnout in only the two-dimensional model. CONCLUSIONS: Self-reported burnout in medical students at UICOM was validated using the MBI-SS. Being out-of-phase in the curriculum, being female, rating wellness initiatives as less effective, and demonstrating lower motivation for continued medical school education may be used as predictors of medical student burnout. This investigation may act as a guide for measuring burnout in medical student populations and how the implementation of wellness initiatives may ameliorate burnout. BioMed Central 2020-10-21 /pmc/articles/PMC7579892/ /pubmed/33087080 http://dx.doi.org/10.1186/s12909-020-02274-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Obregon, Michael
Luo, Jessica
Shelton, Jarod
Blevins, Terri
MacDowell, Martin
Assessment of burnout in medical students using the Maslach Burnout Inventory-Student Survey: a cross-sectional data analysis
title Assessment of burnout in medical students using the Maslach Burnout Inventory-Student Survey: a cross-sectional data analysis
title_full Assessment of burnout in medical students using the Maslach Burnout Inventory-Student Survey: a cross-sectional data analysis
title_fullStr Assessment of burnout in medical students using the Maslach Burnout Inventory-Student Survey: a cross-sectional data analysis
title_full_unstemmed Assessment of burnout in medical students using the Maslach Burnout Inventory-Student Survey: a cross-sectional data analysis
title_short Assessment of burnout in medical students using the Maslach Burnout Inventory-Student Survey: a cross-sectional data analysis
title_sort assessment of burnout in medical students using the maslach burnout inventory-student survey: a cross-sectional data analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579892/
https://www.ncbi.nlm.nih.gov/pubmed/33087080
http://dx.doi.org/10.1186/s12909-020-02274-3
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