The “Weekend Effect” and “Off-Hours Effect” in Pediatric TBI: An Observational Study From the High-Income Developing Country—Sultanate of Oman
Bibliographic record
Abstract
A bstract Background: Traumatic brain injuries (TBIs) are the leading cause of death and disability in children. The concern about care quality difference between weekdays and weekends is increasing. Aim: This study compares the outcome of TBIs in pediatrics during weekdays versus weekends. Materials and Methods: This is a retrospective cohort study conducted from January 2015 to December 2020 involving 98 patients from Khoula Hospital. The primary outcome was death, which is defined as deaths during the index hospitalization and/or deaths within 30 days. The need for surgical intervention is another outcome. We considered the difference in outcomes between working hours and off-hours in the same patients. Binary regression analysis was used to identify risk factors associated with pediatric TBI mortality based on arrival time. Results: All 98 patients were discharged from the hospital with no mortality. Additionally, all our patients had surgical intervention during their hospital stay. A higher number of males presented during weekdays (73.4%), while a higher number of females presented during weekends (63.2%; P < 0.05, OR = 0.282). The number of patients presenting during weekdays (80.6%) was higher than those presenting during weekends (19.3%). In addition, the number of patients presenting during off-hours (39.7%) was higher than that of patients presenting during working hours (60.2%; P < 0.05). Patients presenting during off-hours were likely to have surgeries lasting <120 min ( P < 0.05). Conclusion: No association was found between weekend/off-hour effects and pediatric TBI outcomes. Currently, there are no existing studies that highlight this effect on pediatric TBI. Therefore, this study is the first study investigating the difference in outcomes between weekdays and weekends in pediatric TBI cases.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".