The dynamics of resident?patient communication: Data from Canada
Bibliographic record
Abstract
The objectives of this study were to examine patterns of resident-patient communication and the relationship between resident patterns of speech with patient satisfaction. Forty consultations, ten in each of the four gender combinations (male resident/male patient, male resident/female patient, female resident/female patient, female resident/male patient) were audiotaped and microanalyzed using the Roter Interaction Analysis System. Several findings depart significantly from previous studies with physician-only or physician-resident-mixed samples. First, the average length of the 40 consultations was 19.5 minutes, 11.3 minutes longer than consultations in a physician-only sample drawn in the same clinic previously. Second, male residents engaged in twice as much psychosocial talk as female residents and conducted longer consultations. Third, residents asked 80% of the total questions while patients asked 20% of the questions. Previous studies with physician-only or physician-resident-mixed samples reported that physicians ask 89-99% of the total questions. Finally, patients' overall satisfaction and communication satisfaction were negatively correlated with residents' positive talk, which constitutes 31% of a given resident's total utterances. In the study conducted in the same clinic with a physician-only sample, physician positive talk was 26% and physician positive talk was not correlated with patient satisfaction. Is this a signal that residents should reduce the amount of positive talk? Apparently more studies with resident-only samples are needed to answer this and other unanswered questions in the field to offer directives to resident training.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".