Resource Utilization and Cost Analysis of Pediatric Esophageal Foreign Bodies
Bibliographic record
Abstract
Objective Impacted esophageal foreign bodies (EFBs) are a common but preventable presentation in children, requiring prompt removal in the operating room by esophagoscopy. Our objective was to describe the overall cost of impacted pediatric EFBs and determine factors that increase resource burden. Methods A cost analysis of pediatric patients undergoing esophagoscopy for EFB removal from 2010 to 2021 was performed. Characteristics of each EFB, patient transfer, and hospital course were collected. Direct and indirect healthcare costs were calculated using hospital-specific costs and provincial fees. Amounts were calculated in Canadian dollars. Results Six hundred and eighty patients were included. The total amount spent on pediatric EFBs from 2010 to 2021 was $2,673,288. The mean total cost per child with an EFB was $3469. An extra hour of delay before Otolaryngology—Head and Neck Surgery (OHNS) consultation at a tertiary hospital corresponded to an $816 cost [95% confidence interval (CI; 244.7–1287.4)]. On average, children requiring transfer to a tertiary care center cost $1965 more than those initially presenting to a tertiary care center ( P = .001). Higher-risk EFBs (n = 165, 24%) were associated with a longer hospital stay and greater complication rate and resulted in a $4095 increase in overall cost compared to lower-risk EFBs [$6829 (standard deviation (SD) $11,347) vs $2734 (SD $10,451), P = .02]. Button battery ingestions cost 8.8 times more than non-dangerous EFBs, such as coins. Longer distance for transfer was associated with a higher likelihood of having complications [odds ratios (OR) 1.5, 95% CI (1.1–1.8)]. Conclusion EFBs pose a significant economic burden to the healthcare system, driven by transfer to a tertiary care center, delays in transfer to the operating room, and high-risk EFBs. It is critical to identify areas for improved efficiency such as increased parental education for primary prevention, early involvement of the OHNS team and improving the capacity of community hospitals to manage EFB to limit transfers when possible.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".