Costs associated with infant bronchiolitis in the Baffin region of Nunavut
Bibliographic record
Abstract
UNLABELLED: OBJECTIVE. Although infants living in the north of Canada have been reported to have one of the highest rates of hospital admission for bronchiolitis in the world, the economic effects of this condition have not been reported. Passive immunization against the Respiratory Syncytial Virus, the most common causative agent of infant bronchiolitis, is available. METHODS: We tabulated transportation, in-hospital care and family accommodation costs for infants of less than 12 months of age residing in the Baffin Region of Nunavut aged who were admitted to Baffin Regional Hospital in Iqaluit, Nunavut, and the Children's Hospital of Eastern Ontario in Ottawa, Ontario, with a primary diagnosis of bronchiolitis or viral pneumonia, over a 36-month period, between April 1999 and March 2002. RESULTS: One hundred fifty-nine infants were admitted a total of 210 times, with 196 admissions to Baffin Regional Hospital, and 14 to the Children's Hospital of Eastern Ontario, during the study period. The overall, annual, population-based admission rate for the Baffin Region of Nunavut was 197 admissions per thousand infants per year. Total costs were $2,997,373 ($2,357,747 for Baffin Regional Hospital, $639,625 for the Children's Hospital of Eastern Ontario). Overall average costs were $14,273 per admission, $12,029 for infants admitted to Baffin Regional Hospital and $45,688 for infants admitted to the Children's Hospital of Eastern Ontario. CONCLUSIONS: Infant bronchiolitis in the Baffin Region of Nunavut represents a significant burden on the territorial health care system.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".