Increased mortality among the critically ill patients admitted on weekends: a global trend.
Bibliographic record
Abstract
Critical illness and injury have no concept of time and do not always occur within regular business hours or at times conducive to optimal hospital function. In fact, it is a global trend that critically ill patients admitted to hospitals on weekends suffer higher mortality rates than those admitted during the week. Using a Canadian nursing lens, it is clear that there are some obvious differences in hospital function on weekends that include decreased hospital staffing, access to diagnostic services, intensivist coverage and the reluctance of patients to seek care on weekends. However, the exact differences contributing to the increased mortality in this patient population on weekends and the solutions remain unclear in the literature, and further research is needed. Possible solutions include moving to a "closed" ICU system, increasing nurse staffing, intensivist coverage and diagnostic accessibility, and creating a true seven-day hospital system. Finally, it is unclear exactly how to solve the nurse staffing portion of this problem, as it appears internally linked to the nursing profession and externally to hospital management, recruiting difficulties and financial restraints, and a problem that will take more than change in nursing management strategy to resolve.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".