Codebook for rating clinical communication skills based on the Calgary-Cambridge Guide
Bibliographic record
Abstract
BACKGROUND: The aim of the study was to confirm the validity and reliability of the Observation Scheme-12, a measurement tool for rating clinical communication skills. METHODS: The study is a sub-study of an intervention study using audio recordings to assess the outcome of communication skills training. This paper describes the methods used to validate the assessment tool Observation Scheme-12 by operationalizing the crude 5-point scale into specific elements described in a codebook. Reliability was tested by calculating the intraclass correlation coefficients for interrater and intrarater reliability. RESULTS: The validation of the Observation Scheme-12 produced a rating tool with 12 items. Each item has 0 to 5 described micro-skills. For each item, the codebook described the criteria for delivering a rating from 0 to 4 depending on how successful the different micro-skills (or number of used jargon words) was accomplished. Testing reliability for the overall score intraclass correlation coefficients was 0.74 for interrater reliability and 0.86 for intrarater reliability. An intraclass correlation coefficient greater than 0.5 was observed for 10 of 12 items. CONCLUSION: The development of a codebook as a supplement to the assessment tool Observation Scheme-12 enables an objective rating of audiotaped clinical communication with acceptable reliability. The Observation Scheme-12 can be used to assess communication skills based on the Calgary-Cambridge Guide.
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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 | 0.020 | 0.089 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.007 |
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".