Emotional intelligence weakly predicts academic success in medical programs: a multilevel meta-analysis and systematic review.

Alabbasi, Ahmed M. Abdulla; Alabbasi, Fatema A.; AlSaleh, Aseel; Alansari, Ahmed M.; Sequeira, Reginald P.

Background: Emotional intelligence (EI) is a predictive factor of academic success in undergraduate Doctor of Medicine (MD) programs. Although some research suggests a positive association between EI and academic success in MD programs, other research reports neither an association nor a negative correlation between the two variables. The current study aimed to resolve these contradictory findings by conducting a systematic review and a meta-analysis using research from 2005 to 2022. Methods: Data were analyzed using a multilevel modeling approach to (a) estimate the overall relationship between EI and academic success in MD programs and (b) determine whether the mean effect size varies according to country (United States vs. non-United States countries), age, EI test, EI task nature (ability-based vs. trait-based), EI subscales, and academic performance criteria (grade point average vs. examinations). Results: Findings from 20 studies (m = 105; N = 4,227) indicated a positive correlation between EI and academic success (r =.13, 95% CI [.08, –.27], p <.01). Moderator analyses indicated that the mean effect size significantly varied according to EI tests and EI subscales. Moreover, three-level multiple regression analyses showed that between-study variance explained 29.5% of the variability in the mean effect size, whereas within-study variance explained 33.5% of the variability in the mean effect. Conclusions: Overall, the current findings show that EI is significantly, albeit weakly, related to academic success in MD programs. Medical researchers and practitioners can therefore focus on integrating EI-related skills into the MD curriculum or target them through professional development training and programs.

UNITED States; EMOTIONAL intelligence; CAREER development; COMMUNITY-based programs; MULTIPLE regression analysis; PHYSICIANS; MEDICAL research personnel

BMC Medical Education, 2023, Vol 23, Issue 1, p1

1472-6920

Academic Journal

10.1186/s12909-023-04417-8