Why pediatric patients with cancer visit the emergency department: United States, 2006–2010
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Little is known about emergency department (ED) use among pediatric patients with cancer. We explored reasons prompting ED visits and factors associated with hospital admission. PROCEDURE: A retrospective cohort analysis of pediatric ED visits from 2006 to 2010 using the Nationwide Emergency Department Sample, the largest all-payer database of United States ED visits. Pediatric patients with cancer (ages ≤19 years) were identified using Clinical Classification Software. Proportion of visits and disposition for the top ten-ranking non-cancer diagnoses were determined. Weighted multivariate logistic regression was performed to analyze factors associated with admission versus discharge. RESULTS: There were 294,289 ED visits by pediatric patients with cancer in the U.S. over the study period. Fever and fever with neutropenia (FN) were the two most common diagnoses, accounting for almost 20% of visits. Forty-four percent of pediatric patients with cancer were admitted to the same hospital, with admission rates up to 82% for FN. Risk factors for admission were: FN (odds ratio (OR) 8.58; 95% confidence interval (CI) 5.97-12.34); neutropenia alone (OR 7.28; 95% CI 5.08-10.43), ages 0-4 years compared with 15-19 years (OR 1.19; 95% CI 1.08-1.31) and highest median household income ZIP code (OR 1.27; 95% CI 1.08-1.49) compared with lowest. "Self-pay" visits had lower odds of admission (OR 0.42; 95% CI 0.35-0.51) compared with public payer. CONCLUSION: FN was the most common reason for ED visits among pediatric patients with cancer and is the condition most strongly associated with admission. Socioeconomic factors appear to influence ED disposition for this population.
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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 | 0.000 | 0.000 |
| 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) | 0.003 | 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 it