Assessment of Burnout in Medical Students Using the Maslach Burnout Inventory-Student Survey: A Cross-Sectional Data Analysis
| Autor: | Jarod Shelton, Michael Obregon, Terri Blevins, Jessica Luo, Martin MacDowell |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Data Analysis
MBI-SS Students Medical 020205 medical informatics Psychometrics lcsh:Medicine 02 engineering and technology Burnout Burnout Psychological Education 03 medical and health sciences 0302 clinical medicine Cynicism Internal consistency Surveys and Questionnaires 0202 electrical engineering electronic engineering information engineering Humans 030212 general & internal medicine Emotional exhaustion Students Curriculum Burnout Professional Medical education Cross-sectional data lcsh:LC8-6691 Motivation lcsh:Special aspects of education lcsh:R Regression analysis General Medicine Maslach Cross-Sectional Studies Wellness Physical exhaustion Medicine Female Psychology Clinical psychology Research Article |
| Zdroj: | BMC Medical Education BMC Medical Education, Vol 20, Iss 1, Pp 1-10 (2020) |
| DOI: | 10.21203/rs.3.rs-30445/v1 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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