Tolerance for Uncertainty, Personality Traits and Specialty Choice Among Medical Students

Abstract

The objective was to explore the tolerance for uncertainty in its different aspects (risk, ambiguity and complexity) in medical students at different times of their careers, and to relate these tolerance levels with their predominant personality traits and specialty choices. A secondary objective was to build a hypothetical model aimed at explaining the potential relationships of dependency between gender, personality traits, tolerance for uncertainty and specialty choice using a structural equation modeling (SEM) analysis. A prospective cross-sectional study including two cohorts of second-year (n = 155) and sixth-year (n = 157) medical students was performed during 2017 at the Buenos Aires University School of Medicine. Both student cohorts completed instruments assessing tolerance for different types of uncertainty: (1) complexity (Tolerance for Ambiguity scale); (2) risk (Pearson Risk Attitude scale); and (3) ambiguity (Ambiguity Aversion in Medicine scale). Information on age, gender and specialty choice in sixth-year medical students was included, plus the Big Five Inventory-10 (BFI-10) personality test. Sixth-year students showed significantly lower scores than second-year students at tolerance for complexity (p = 0.0003) and ambiguity (p = 0.008). Sixth-year students choosing a surgical specialty were associated with low tolerance for risk and ambiguity, and moderate for complexity. Conversely, students choosing a clinical specialty were related with high tolerance for risk, moderate for ambiguity, and low for complexity. Logistic regression analysis including the uncertainty questionnaires plus BFI-10 categories demonstrated that only the "neuroticism" personality trait was independently associated with a surgical specialty choice (OR: 1.31, 95%CI: 1.03-1.67). The final SEM that best represented the data showed good fit statistics: chi-square (p = 0.108), and RMSEA (p = 0.047). Tolerance for uncertainty in its different dimensions was associated with personality traits and specialty choice among medical students. A SEM analysis could satisfactorily explain the hypothetical relationships of dependency between gender, personality traits, tolerance for uncertainty, and specialty choice.