ArticleBMC medical education2025
A novel multi-measure approach to study medical students' communication performance and predictors of their communication quality - a cross-sectional study.
Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The Micro-Expression Decoder: A Preliminary Mixed-Methods Evaluation of Training in Subtle Facial and Non-Verbal Cue Recognition in Final-Year Medical Students.Clinics and practice · 2026Article
- Embracing the Future of Medical Education With Large Language Model-Based Virtual Patients: Scoping Review.Journal of medical Internet research · 2025Article
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Authors and funding
7 authors.
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Abstract
backgroundSuccessful doctor-patient communication is a critical component of effective medical treatment and therefore plays a crucial role already in medical training. The aim of this cross-sectional study was to employ a multi-measure approach assessing different perspectives and variables to investigate how medical students' communication performance differs across medical training (1st vs. 5th or 7th semester).
methods43 medical students (1st semester: N = 23; 5th or 7th semester: N = 20) engaged in a simulated doctor-patient consultation with a standardized patient (SP) while being videorecorded. Medical students' communication quality was assessed by a communication expert and by the SP (both being blinded regarding the semester of the medical student) using standardized questionnaires (Berliner Global Rating Scale, Medical Interview Satisfaction Scale). Following our multi-measure approach, we also assessed several non-verbal parameters and variables (back-channeling, turn-taking, verbal dominance, automatic analysis of emotional facial expressions, skin conductance level).
resultsAnalysis of non-verbal measures demonstrates that advanced students used more back-channeling, displayed more facial expressions of happiness and showed elevated skin conductance levels compared to 1st semester students. These non-verbal parameters could significantly predict the expert's communication quality assessment, explaining 31% of the variance in communication quality. As expected, the expert and SP rated the communication quality of 5th /7th semester students as significantly better compared to 1st semester students.
conclusionsWe found that non-verbal parameters significantly differed between students of early vs. later stages of their medical training and were predictive of communication quality. Especially, sympathetic responsiveness - likely indicating the level of involvement - correlated with expert evaluations. These findings suggest that effective communication becomes evident across different channels and that sincere engagement into a conversation might be a requisite for successful doctor-patient communication.
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