Selection of students for admission to a medical school in Sri Lanka

Academic performance in Iranian medical students during the pre-clinical stage

Background: Better understanding of factors associated with medical school performance is necessary to improve admission processes and to help students succeed in their career. This study follows a group of Iranian med students during their first 2.5 years of medical education, to evaluate their academic success in accordance with their demographic, cognitive and non-cognitive characteristics. Methods: 143 of 200 matriculants of Iran University of Medical Sciences medical school in 2010, were followed for 5 consecutive semesters of the preclinical stage. Demographic and cognitive characteristics were collected using self-administered data collection forms. The NEO Five-Factor (personality) Inventory (NEO-FFI) was used to assess participants' non-cognitive characteristics. The 5 semesters' cumulative Grade Point Average (GPA) was the measure of academic performance. Pooled t-test, one-way ANOVA, multiple linear regression and logistic regression model, and Spearman coefficients of correlation were applied in data analysis Results: There was a significant difference in participants' GPA regarding their gender (p=0.008), using privilege in National University Entrance Examination (NUEE)(p<0.0001), the number of times one has taken part in NUEE (p=0.034) and being occupied in paid jobs (p=0.01). There were no significant differences in participants' GPA regarding NEO-FFI domains. Conclusions: Females and students with a better academic performance prior to their admission in medical school had better academic records. We found no association between academic performance and personality because participants were followed through a preclinical stage where non-cognitive characteristics plays a less important role in their performance and evaluations.

Non-cognitive characteristics predicting academic success among medical students in Sri Lanka

BACKGROUND

To identify non-cognitive and socio-demographic characteristics determining academic success of Sri Lankan medical undergraduates.

METHODS

A retrospective study among 90 recently graduated students of the Faculty of Medical Sciences, University of Sri Jayewardenepura, Sri Lanka. Students were stratified into two equal groups; 'High-achievers' (honours degree at the final MBBS examination) and 'Low-achievers' (repeated one or more subjects at the same examination). A revised version of the Non-cognitive Questionnaire (NQ) with additional socio-demographic data was the study instrument. Academic performance indicator was performance at the final MBBS examinations. A binary logistic regression analysis was performed using the dichotomous variable 'Honours degree at final MBBS' as the dependant factor.

RESULTS

Males were 56.7%. Mean age ± SD was 26.4 ± 0.9 years. 'High-achievers' were significantly younger than 'Low-achievers'. Significant proportion of 'High-achievers' were from the Western province and selected to university from Colombo district. A significant majority of 'High-achievers' entered medical school from their first attempt at GCE A/L examination and obtained 'Distinctions' at the GCE A/L English subject. 'High-achievers' demonstrated a significantly higher mean score for the following domains of NQ; Positive self-concept and confidence, realistic self-appraisal, leadership, preference of long range goals and academic familiarity.The binary logistic regression indicates that age, being selected to university from Colombo district, residency in Western province, entering university from GCE A/L first attempt, obtaining a 'Distinction' for GCE A/L English subject, higher number of patient-oriented case discussions, positive self-concept and confidence, leadership qualities, preference of long range goals and academic familiarity all significantly increased the odds of obtaining a Honours degree.

CONCLUSION

A combined system incorporating both past academic performance and non-cognitive characteristics might help improve the selection process and early recognition of strugglers.