Laypersons’ Priority-Setting Preferences for Allocating a COVID-19 Patient to a Ventilator: Does a Diagnosis of Alzheimer’s Disease Matter?
Bibliographic record
Abstract
PURPOSE: The current study aimed 1) to assess laypersons' priority-setting preferences for allocating ventilators to COVID-19 patients with and without AD while differentiating between a young and an old person with the disease, and 2) to examine the factors associated with these preferences. METHODS: A cross-sectional online survey was conducted among a sample of 309 Israeli Jewish persons aged 40 and above. RESULTS: Overall, almost three quarters (71%) of the participants chose the 80-year-old patient with a diagnosis of AD to be the last to be provided with a ventilator. The preferences of the remaining quarter were divided between the 80-year-old person who was cognitively intact and the 55-year-old person with AD. Education and subjective knowledge about AD were significantly associated with participants' preferences. CONCLUSION: Our results suggest that cognitive status might not be a strong discriminating factor for laypersons' preferences for allocating ventilators during the COVID-19 pandemic.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".