Shared Decision Making for Surgical Care in the Era of COVID‐19
Bibliographic record
Abstract
The global pandemic caused by severe acute respiratory syndrome coronavirus 2 has upended surgical practice. In an effort to preserve resources, mitigate risk, and maintain health system capacity, nonurgent surgeries have been deferred in many jurisdictions, with urgent procedures facing increasing wait times and unpredictability given potential future surges. Shared decision making, a process that integrates patient values and preferences with the scientific expertise of clinicians, may be of particular benefit during these unprecedented times. Aligning patient choices with their values, reducing unnecessary health care use, and promoting consistency between providers are now more critical than ever before. We review important aspects of shared decision making and provide guidance for its perioperative application during the coronavirus disease 2019 pandemic.
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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 | 0.061 | 0.148 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".