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.
Background: The modified five-item frailty index is a validated and effective tool for assessing risk in surgical candidates. The authors sought to compare the predictive ability of the modified five-item frailty index to established risk factors for complications in free flap breast reconstruction. Methods: The 2012 to 2018 American College of Surgeons National Surgical Quality Improvement Program database was queried for free flap breast reconstructive procedures. Univariate and multivariate regression analysis models were used to assess how modified five-item frailty index and factors commonly used to risk stratify (age, body mass index, American Society of Anesthesiologists classification, and history of smoking) were associated with complications. Results: Of the total 10,550 cases, 24.1 percent experienced complications. A high modified five-item frailty index score is associated with a higher overall rate of postoperative complications (p < 0.001). This significant trend was demonstrated in both surgical (p < 0.001) and medical (p < 0.001) complications. When controlling for other risk factors commonly used for risk stratification such as age, body mass index, American Society of Anesthesiologists classification, and history of smoking, the modified five-item frailty index was significantly associated with medical (OR, 1.75; 95 percent CI, 1.37 to 2.22; p = 0.001) and any complications (OR, 1.58; 95 percent CI, 1.29 to 1.93; p < 0.001) and had the largest effect size. Assessing for specific complications, the modified five-item frailty index is the strongest independent predictor of reoperation (OR, 1.41; 95 percent CI, 1.08 to 1.81; p = 0.009). Conclusion: The modified five-item frailty index is a useful predictor of postoperative outcomes in patients undergoing free flap breast reconstruction when compared to other historically considered risk factors for surgical complications. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, III.
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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