Abstract
Objective. To identify admissions variable prognostics for academic difficulty in the PharmD curriculum to use for admissions determinations and early identification of at-risk students. Methods. Retrospective multivariate analysis of 2008-2012 admission data were linked with academic records to identify students with academic difficulty (ie, those with Ds, Fs, delayed progression). The influence of prepharmacy grade point average (GPA), composite Pharmacy College Admission Test (PCAT) score, multiple-mini interview (MMI) score, age, credit hours, state residence, and prior degree on academic difficulty was estimated using multivariate logistic regression. Results. Students' (n=587) prepharmacy GPA, composite PCAT score, mean MMI score, and age were 3.6, 72.0, 5.5, 22.8 (SD=4.14 years), respectively. Students having a GPA <3.25, PCAT score <60th percentile, or MMI score <4.5, were approximately 12-, 7-, and 3-times more likely, respectively, to experience academic difficulty than those with a GPA ≥ 3.75, PCAT score >90, or MMI score of 5-6. Conclusion. Using GPA, PCAT, and MMI performance can predict academic difficulty and assist in the early identification of academically at-risk PharmD students.