Survey of the National Drug Shortage Effect on Anesthesia and Patient Safety
Bibliographic record
Abstract
BACKGROUND: There are few data on patients' desire to be informed of drug shortages before elective surgery. We surveyed patients who had previously undergone laparoscopic cholecystectomy for their opinions. METHODS: Nine hundred forty-nine Mayo Clinic patients were invited to participate in the survey. The postal survey posed a hypothetical surgical scenario and requested answers regarding the desire to be informed and to postpone scheduled surgery because of neostigmine shortage. Comparison was made with Canadian patients from a hospital in Ontario. RESULTS: Most of the 256 respondents wanted "to be told by the anesthesia doctor about the neostigmine shortage" if there were "slight differences" in side effects between the drug combinations (P < 0.0001). The percentage of patients wanting to know was 76.2% (95% confidence interval, 70.5%-81.3%). Secondary analyses tested the validity and reliability of the survey. With each increase in the differences in substituted drug's side effects, there was a progressive increase in the patients' desire for information (P < 0.0001; 73.2%, 76.2%, and 95.7% of 246, 256, and 253 respondents, respectively) and preference for delaying surgery (P< 0.0001; 33.6%, 39.4%, and 80.9% of 238, 246, and 241 respondents, respectively). There was no association with respondents' sex (P = 0.19), age (P = 0.76), educational level (P = 0.39), or country (United States versus Canada [n = 58]; P = 0.87). CONCLUSIONS: The majority (>50%) of surveyed patients want to be informed of drug shortages that might affect their care.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".