title: Admission to medical schools in Sri Lanka: predictive validity of selection criteria.
abstract: OBJECTIVE
  To assess the extent to which current selection criteria predict success in Sri Lanka's medical schools.
  
  
  METHODS
  The study sample consisted of all students selected to all six medical schools in two consecutive entry cohorts. The aggregate marks of these students at the General Certificate of Education (GCE) Advanced Level examination, the district of entry, admission category, candidate type (school/private) and gender, were identified as entry point variables. Success in medical school was measured in four ways: the ability to pass the first summative examination and the final examination at the first attempt, and obtaining honours in either examination. Multivariate analysis using logistic regression was used to assess the extent to which these entry point factors predict variability in outcome measures.
  
  
  RESULTS
  Aggregate scores among the 1740 students in the study sample ranged from 212 to 356, with a median of 285. The male:female ratio was 1.4:1. Private candidates (taking the examination for the third time) accounted for 22% of students. Being a school candidate, female and having a higher aggregate score, were the only independent predictors of success for all four outcome measures. The aggregate score alone accounted for only 1-7% of the variation in performance in medical school.
  
  
  CONCLUSIONS
  Marks obtained at the A Level examination (the only academic criterion currently used for selection of medical students in Sri Lanka) is a poor predictor of success in medical school.
authors.affiliation: Faculty of Medicine, University of Kelaniya. nrdes@sltnet.lk
authors.forename: N R
authors.initials: NR
authors.lastname: de Silva
authors.forename: A
authors.initials: A
authors.lastname: Pathmeswaran
authors.forename: N
authors.initials: N
authors.lastname: de Silva
authors.forename: J S
authors.initials: JS
authors.lastname: Edirisinghe
authors.forename: P V R
authors.initials: PV
authors.lastname: Kumarasiri
authors.forename: S V
authors.initials: SV
authors.lastname: Parameswaran
authors.forename: R
authors.initials: R
authors.lastname: Seneviratne
authors.forename: N
authors.initials: N
authors.lastname: Warnasuriya
authors.forename: H J
authors.initials: HJ
authors.lastname: de Silva
mesh_terms: D002983:Clinical Competence; D003099:College Admission Test / Q000706:statistics & numerical data*; D004504:Education, Medical, Undergraduate; D004522:Educational Status; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D016017:Odds Ratio; D016134:Organizational Policy; D012570:School Admission Criteria / Q000706:statistics & numerical data*; D012577:Schools, Medical / Q000458:organization & administration* / Q000592:standards; D013188:Sri Lanka; D013337:Students, Medical / Q000706:statistics & numerical data*