title: Academic Performance on First-Year Medical School Exams: How Well Does It Predict Later Performance on Knowledge-Based and Clinical Assessments?
abstract: Number of appearances in the bottom quartile of 1st-year medical school exams were used to represent the extent to which students were having academic difficulties. Medical educators have long expressed a desire to have indicators of medical student performance that have strong predictive validity. Predictors traditionally used fell into 4 general categories: demographic (e.g., gender), other background factors (e.g., college major), performance/aptitude (e.g., medical college admission test scores), and noncognitive factors (e.g., curiosity). These factors, however, have an inconsistent record of predicting student performance. In comparison to traditional predictive factors, we sought to determine the extent to which academic performance in the 1st-year of medical school, as measured by examination performance in the bottom quartile of the class in 7 required courses, predicted later performance on a variety of assessments, both knowledge based (e.g., United States Medical Licensing Examination Step 1 and Step IICK) and clinical skills based (e.g., clerkship grades and objective structured clinical exam performance). Of all predictors measured, number of appearances in the bottom quartile in Year 1 was the most strongly related to performance in knowledge-based assessments, as well as clinically related outcomes, and, for each outcome, bottom-quartile performance accounted for additional variance beyond that of the traditional predictors. Low academic performance in the 1st year of medical school is a meaningful risk factor with both predictive validity and predictive utility for low performance later in medical school. The question remains as to how we can incorporate this indicator into a system of formative assessment that effectively addresses the challenges of medical students once they have been identified.
authors.affiliation: a Center for Evaluation, Harvard Medical School , Boston , Massachusetts , USA.
authors.forename: Edward
authors.initials: E
authors.lastname: Krupat
authors.affiliation: a Center for Evaluation, Harvard Medical School , Boston , Massachusetts , USA.
authors.forename: Stephen R
authors.initials: SR
authors.lastname: Pelletier
authors.affiliation: b Department of Medicine , Harvard Medical School , Boston , Massachusetts , USA.
authors.forename: Jules L
authors.initials: JL
authors.lastname: Dienstag
mesh_terms: D000124:Achievement; D002983:Clinical Competence; D004504:Education, Medical, Undergraduate; D004521:Educational Measurement; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D013337:Students, Medical; D014481:United States
keywords: Performance predictors; exam performance; student assessment