Tailoring support following summative assessments: A latent profile analysis of student outcomes across five medical specialities

Summative assessments are often underused for feedback, despite them being rich with data of students’ applied knowledge and clinical and professional skills. To better inform teaching and student support, this study aims to gain insights from summative assessments through profiling students’ performance patterns and identify those students missing the basic knowledge and skills in medical specialities essential for their future career. We use Latent Profile Analysis to classify a senior undergraduate year group (n = 295) based on their performance in applied knowledge test (AKT) and OSCE, in which items and stations are pre-classified across five specialities (e.g. Acute and Critical Care, Paediatrics,…). Four distinct groups of students with increasing average performance levels in the AKT, and three such groups in the OSCE are identified. Overall, these two classifications are positively correlated. However, some students do well in one assessment format but not in the other. Importantly, in both the AKT and the OSCE there is a mixed group containing students who have met the required standard to pass, and those who have not. This suggests that a conception of a borderline group at the exam-level can be overly simplistic. There is little literature relating AKT and OSCE performance in this way, and the paper discusses how our analysis gives placement tutors key insights into providing tailored support for distinct student groups needing remediation. It also gives additional information to assessment writers about the performance and difficulty of their assessment items/stations, and to wider faculty about student overall performance and across specialities.