Responding to Trust: Surgeons’ Perspective on Informed Consent
Bibliographic record
Abstract
BACKGROUND: Every day thousands of surgeons and patients negotiate their way through the complex process of decision-making about operative treatments. We conducted a series of qualitative studies, asking patients and surgeons to describe their experience and beliefs about informed decision-making and consent. This study focuses on surgeons' views. METHODS: Open-ended interviews and focus group discussions were conducted with thoracic surgeons who treated esophageal cancer patients by esophagectomy, and general surgeons who routinely performed laparoscopic cholecystectomy. Their views were analyzed using a qualitative approach, grounded in the perspectives of the participants. RESULTS: Five dominant themes emerged from the analysis: (1) making informed decisions; (2) communicating information and confidence; (3) managing expectations and fears; (4) consent as a decision to trust; (5) commitment inspired by trust. These themes are illustrated by verbatim quotes from the surgeon interviews. CONCLUSIONS: Surgeons carefully assess the risks and benefits of treatment before consenting to perform operative interventions. They are influenced by objective findings and by affective factors such as courage and the determination to survive expressed by their patients. They manage risks, doubts, and fears-both their patients' and their own-relying on trust and commitment on both sides to ensure the success of the surgical mission. The trust of their patients has a strong influence on the surgeons' decisions and actions.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".