Patient views on financial relationships between surgeons and surgical device manufacturers
Bibliographic record
Abstract
BACKGROUND: Over the past decade, revelations of inappropriate financial relationships between surgeons and surgical device manufacturers have challenged the presumption that surgeons can collaborate with surgical device manufacturers without damaging public trust in the surgical profession. We explored postoperative Canadian patients' knowledge and opinions about financial relationships between surgeons and surgical device manufacturers. METHODS: This complex issue was explored using qualitative methods. We conducted semistructured face-to-face interviews with postoperative patients in follow-up arthroplasty clinics at an academic hospital in Toronto, Canada. Interviews were audiotaped, transcribed and analyzed. Patient-derived concepts and themes were uncovered. RESULTS: We interviewed 33 patients. Five major themes emerged: 1) many patients are unaware of the existence of financial relationships between surgeons and surgical device manufacturers; 2) patients approve of financial relationships that support innovation and research but are opposed to relationships that involve financial incentives that benefit only the surgeon and the manufacturer; 3) patients do not support disclosure of financial relationships during the consent process as it may shift focus away from the more important risks; 4) patients support oversight at the professional level but reject the idea of government involvement in oversight; and 5) patients entrust their surgeons to make appropriate patient-centred choices. CONCLUSION: This qualitative study deepens our understanding of financial relationships between surgeons and industry. Patients support relationships with industry that provide potential benefit to current or future patients. They trust our ability to self-regulate. Disclosure combined with appropriate oversight will strengthen public trust in professional collaboration with industry.
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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 | 0.003 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".