Do the teaching, practice and assessment of clinical communication skills align?
Bibliographic record
Abstract
BACKGROUND: Evidence indicates that communication skills teaching learnt in the classroom are not often readily transferable to the assessment methods that are applied nor to the clinical environment. An observational study was conducted to objectively evaluate students' communication skills in different learning environments. The study sought to investigate the extent to which the communication skills demonstrated by students in classroom, clinical, and assessment settings align. METHOD: A mixed methods study was conducted to observe and evaluate students during the fourth year of a five-year medical program. Participants were videorecorded during structured classroom 'interactional skills' sessions, as well as clinical encounters with real patients and an OSCE station calling upon communication skills. The Calgary Cambridge Observational Guides was used to evaluate students at different settings. RESULT: This study observed 28 students and findings revealed that while in the classroom students were able to practise a broad range of communication skills, in contrast in the clinical environment, information-gathering and relationship-building with patients became the focus of their encounters with patients. In the OSCEs, limited time and high-pressure scenarios caused the students to rush to complete the task which focussed solely on information-gathering and/or explanation, diminishing opportunity for rapport-building with the patient. CONCLUSION: These findings indicate a poor alignment that can develop between the skills practiced across learning environments. Further research is needed to investigate the development and application of students' skills over the long term to understand supports for and barriers to effective teaching and learning of communication skills in different learning environments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.120 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".