Physician-patient communication: Patterns of resident speech and patient satisfaction.
Bibliographic record
Abstract
The objectives of this study were to quantify and examine patterns of speech among 1st and 2nd year family practice residents and their patients, to measure patient satisfaction, and elucidate significant correlations between them. 5 female and 4 male residents took part in the study and provided 40 audiotapes of interviews (10 of each dyad type: F/F, F/M, M/M, and M/F) for analysis. The communicative behavior of both residents and patients was analyzed using the Roter Interaction Analysis System (RIAS). Positive talk and biomedical-information giving were the major speech categories for both residents and patients. Residents asked four times as many questions as patients, whereas patients made an average of four times the amount of psychosocial comments than residents. Male residents made twice as many psychosocial comments as female residents and conducted longer interviews. Only resident positive-talk was negatively correlated with patient overall satisfaction and communication satisfaction.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".