Care and Outcomes of Patients With Cancer Admitted to the Hospital on Weekends and Holidays: A Retrospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: Patients admitted to the hospital on weekends experience worse outcomes than those admitted on weekdays. Patients with cancer may be especially vulnerable to the effects of weekend care. Our objective was to compare the care and outcomes of patients with cancer admitted urgently to the hospital on weekends and holidays versus those of patients with cancer admitted at other times. MATERIALS AND METHODS: This was a retrospective study of all adult patients with cancer having an urgent hospitalization in Canada from 2010 to 2013. Patients admitted to hospital on weekends/holidays were compared with those admitted on weekdays. The primary outcome was 7-day in-hospital mortality. We also compared performance of procedures in the first 2 days of hospital admission and admission to critical care after the first 24 hours. RESULTS: 290,471 hospital admissions were included. Patients admitted to hospital on weekends/holidays had an increased risk of 7-day in-hospital mortality (4.8% vs 4.3%; adjusted odds ratio [OR], 1.13; 95% CI, 1.08-1.17), corresponding to 137 excess deaths per year compared with the weekday group. This risk persisted after restricting the analysis to patients arriving by ambulance (7.1% vs 6.4%; adjusted OR, 1.11; 95% CI, 1.04-1.18). Among those who had procedures in the first 4 days of admission, fewer weekend/holiday-admitted patients had them performed in the first 2 days, for 8 of 9 common procedure groups. There was no difference in critical care admission risk after the first 24 hours. CONCLUSIONS: Patients with cancer admitted to the hospital on weekends/holidays experience higher mortality relative to patients admitted on weekdays. This may result from different care processes for weekend/holiday patients, including delayed procedures. Future research is needed to identify key outcome-driving procedures, and ensure timely access to these on all days of the week.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".