Reconceptualizing interruptions in physician-patient interviews: Cooperative and intrusive
Bibliographic record
Abstract
Results of past research on physician-patient interruption present an inconclusive picture. This study reconceptualizes interruption into cooperative and intrusive categories. Thirty physician-patient interviews, 13 male/male and 17 male/female, were audiotaped and microanalyzed. It was found that physicians did not interrupt patients more or vice versa. Rather, physicians and patients interrupted differently, the former more intrusively and the latter, more cooperatively. Furthermore, physicians did not dominate speaking turns nor speak more words than patients, as previously believed. We argue that their difference may not be measured by the number of words or speaking turns because it is embedded in their respective communication style. It was also found that female patients exhibited eleven times as much cooperative interruptions as did male patients. When physicians interrupted patients, they were unsuccessful only 6% of the time. When patients interrupted physicians, they were unsuccessful 32% of the time. The results of this study point out the necessity to reconceptualize interruptions in physician-patient interviews.
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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 | 0.017 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| 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".