Empathy in Medicine Self and Other in Medical Education: Initial Emotional Intelligence Trend Analysis Widens the Lens Around Empathy and Burnout.

CONTEXT: Integral to emotional intelligence (EI), empathy is frequently studied in medical students. While important, given the implications for patient safety and physician well-being, traits such as self-regard may also affect physician efficacy. Emotional intelligence offers a holistic framework from which to study empathy, allowing it to be explored with coexisting traits and offering opportunities to identify related risk factors. OBJECTIVE: To identify trends in osteopathic medical student EI to help mitigate burnout, with specific attention to empathy and self-regard. METHODS: Eight hundred eighty-five students at Western University of Health Sciences College of Osteopathic Medicine of the Pacific from classes 2014-2016 were offered the Emotional Quotient Inventory 2.0 (EQ-i) at the start of school, completion of their second year, and at graduation. Participants completed all 3 inventories, yielding a response rate of 16.3%. Repeated measurement analysis of variance analyses were conducted using SAS software for Windows version 9.3. RESULTS: A total of 144 students participated. The total EI score shifted from mean (SD) 100.2 (12.4) at baseline to 96.1 (12.8) midway to 96.8 (13.3) at graduation (P=.0161) with significant decreases between baseline and midway (P<.001) and baseline and final administrations (P<.001). Empathy declined from 103 (13.1) to 99.9 (12.7) to 99.6 (12.6) (P=.0481) with significant decreases between baseline and midway (P<.001) and baseline and final administrations (P<.001). Self-regard declined from 98.6 (14.1) to 95.8 (15.1) to 95.5 (14.7) (P=.135) with significant decreases between baseline and midway (P=.0021) and baseline and final administrations (P<.001). CONCLUSION: This study's findings support further investigation of potential roles played by EI, empathy, and self-regard in physician burnout.

Student academic performance factors affecting matching into first-choice residency and competitive specialties.

BACKGROUND: Although specific specialties and residency programs have investigated student performance factors affecting matching, there is a paucity of information from medical schools. Furthermore, factors contributing to matching into first-choice residency have not been examined. This study aimed to identify academic performance factors affecting matching into first-choice residency and highly competitive specialties. METHODS: The authors conducted a study of 1726 graduates from their institution from 2010 to 2017 and assessed pre-/post-admission academic variables associated with matching into first choice and highly competitive specialties. RESULTS: 53.9% of graduates matched into their first choice. This was associated with passing COMLEX Level 2 CE (p = 0.01), PE (p = 0.02) on first attempt, and higher COMLEX Level 2 CE and USMLE 2 CK scores (p < 0.001 and 0.002; 14.1 and 3.9-point difference in mean scores respectively). Pre-clinical GPA (p = 0.002) and highest MCAT score (p = 0.02) were associated, however differences in means were < 1 point for both. Factors associated with matching into first choice included: MCAT (OR 0.95, 95% CI = (0.92, 0.98)), Level 2 CE score (OR = 1.01, 95% CI = (1.01, 1.02)) and passing Level 2 PE (OR = 3.68, 95% CI = (1.2, 11.28)). 12% of graduates matched into high- and 63% into low-competitiveness specialties. Matching into highly competitive specialties was associated with passing COMLEX Level 1 (p < 0.001), Level 2 CE (p < 0.001), USMLE Step 1 (p < 0.001) and Step 2 CK (p = 0.03) on first attempt. Mean scores of students matching into high- versus low-competitiveness specialties differed as follows: COMLEX Level 1 62.7 points, Level 2 CE 50.5 points, USMLE Step 1 13.6 points, Step 2 CK 7 points (all p < 0.001), as did pre-clinical GPA (2.4 points, p < 0.001). Level 1 score was the strongest predictor for matching into highly competitive specialties (OR = 1.04, 95% CI = (1.02, 1.05)). CONCLUSIONS: Licensing exam performance is important for matching into first-choice residency and into highly competitive specialties. Differences in exam scores were more pronounced for matching into highly competitive specialties than into first choice, with a larger difference in mean scores between students matching into specialties of high versus low competitiveness, than between students matching into their first- versus non first-choice residency. These results may help faculty prepare students and inform curriculum design to improve matching.

Reliability and validity of conversion formulas between comprehensive osteopathic medical licensing examination of the United States level 1 and United States medical licensing examination step 1.

BACKGROUND: The Comprehensive Osteopathic Medical Licensing Examination of the United States (COMLEX-USA) Level 1 and United States Medical Licensing Examination (USMLE) Step 1 scores are important factors in the selection process of medical students into US residency programs. OBJECTIVES: The goals of this study were to investigate the correlation between the COMLEX-USA Level 1 and the USMLE Step 1 and to assess the accuracy of the existing formulas in predicting USMLE scores from COMLEX-USA scores. METHODS: A retrospective study of 1016 paired COMLEX-USA Level 1 and USMLE Step 1 scores was conducted. Formulas by Sarko et al and by Slocum and Louder were used to estimate USMLE Step 1 scores from COMLEX-USA Level 1 scores, and a paired t test between calculated USMLE Step 1 scores and actual USMLE Step 1 scores was performed. RESULTS: During 2006-2012, 1016 of 1440 students (71%) took both the USMLE Step 1 and the COMLEX-USA Level 1 tests in the College of Osteopathic Medicine of the Pacific. The USMLE Step 1 scores were higher than those predicted by Slocum and Louder and by Sarko et al by an average of 14.16 ± 11.69 (P < .001) and 7.80 ± 12.48 (P < .001), respectively. A Pearson coefficient of 0.83 was observed. Regression analysis yielded the following formula: USMLE Step 1  =  0.2392 × COMLEX-USA Level 1 + 82.563 (R (2)  =  0.69577). CONCLUSIONS: The USMLE Step 1 scores, on average, were higher than those predicted by the formulas derived by Slocum and Louder and by Sarko et al. Residency program directors should use caution when using formulas to derive USMLE Step 1 scores from COMLEX-USA Level 1 scores.

Student performance on levels 1 and 2-CE of COMLEX-USA: do elective upper-level undergraduate science courses matter?

CONTEXT: The effect of a variety of preadmission variables, including the number of elective preadmission upper-level science courses, on academic achievement is not well established. OBJECTIVE: To investigate the relationship between number of preadmission variables and overall student academic achievement in osteopathic medical school. METHODS: Academic records of osteopathic medical students in the 2008 and 2009 graduating classes of Western University of Health Sciences College of Osteopathic Medicine of the Pacific in Pomona, California, were analyzed. Multivariate linear regression analyses were performed to identify predictors of academic achievement based on Medical College Admission Test (MCAT) subscores, undergraduate grade point average (GPA), GPA in medical school basic science (preclinical GPA) and clinical clerkship (clinical GPA), and scores on the Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) Level 1 and Level 2-Cognitive Evaluation (CE). RESULTS: Records of 358 osteopathic medical students were evaluated. Analysis of beta coefficients suggested that undergraduate science GPA was the most important predictor of overall student academic achievement (P<.01). Biological sciences MCAT subscore was a more modest but still statistically significant predictor of preclinical GPA and COMLEX-USA Level 1 score (P<.01). Physical sciences MCAT subscore was also a statistically significant predictor of preclinical GPA, and verbal reasoning MCAT subscore was a statistically significant predictor of COMLEX-USA Level 2-CE score (both P<.01). Women had statistically significantly higher preclinical GPA and COMLEX-USA Level 2-CE scores than men (P<.05). Differences in some outcome variables were also associated with racial-ethnic background and age. Number of preadmission elective upper-level science courses taken by students before matriculation was not significantly correlated with any academic achievement variable. CONCLUSION: Although undergraduate science GPA and MCAT biological sciences subscore were significant predictors of overall academic achievement for osteopathic medical students, the number of elective upper-level science courses taken preadmission had no predictive value.