Understanding medical student paths to communication skills expertise using latent profile analysis

To describe patterns of clinical communication skills that inform curriculum enhancement and guide coaching of medical students.

Performance data from 1182 consenting third year medical students in 9 cohorts (2011-2019), on a 17-item Clinical Communication Skills Assessment Tool (CCSAT) completed by trained Standardized Patients as part of an eight case high stakes Comprehensive Clinical Skills Exam (CCSE) were analyzed using latent profile analysis (LPA). Assessment domains included: information gathering (6 items), relationship development (5 items), patient education (3 items), and organization/time management (3 items). LPA clustered learners with similar strength/weakness into profiles based on item response patterns across cases. One-way analysis of variance (ANOVA) assessed for significant differences by profile for CCSAT items.

Student performance clustered into six profiles in three groups, high performing (HP1 and HP2-Low Patient Education, 15.7%), average performing (AP1 and AP2-Interrupters, 40.9%), and lower performing profiles (LP1-Non-interrupters and LP2, 43.4%) with adequate model fit estimations and similar distribution in each cohort. We identified 3 CCSAT items that discriminated among learner's skill profiles.

Clinical communication skill performance profiles provide nuanced, benchmarked guidance for curriculum improvement and tailoring of communication skills coaching.