CIHI Survey: Hospital Costs for Preterm and Small-for-Gestational Age Babies in Canada
Bibliographic record
Abstract
In 2006-2007, more than 54,000 (or one in seven) babies across Canada were born preterm or small for their gestational age (SGA). These babies are often at higher risk for morbidity and mortality than are full-term babies with normal birth weight, and account for a disproportionately high percentage of healthcare costs among newborns. This article highlights key findings from a recent report by the Canadian Institute for Health Information, Too Early, Too Small: A Profile of Small Babies across Canada, and provides information on the hospital costs among low birth weight, preterm and SGA babies. Birth weight and gestational age were found to be important determinants of hospital costs - as birth weight and gestational age decreased, average in-hospital costs increased. Furthermore, multiple-birth babies had higher hospital costs than did singleton babies. As in other areas of the health system, information relating to costs and spending can inform neonatal and obstetrical health planning and decision-making.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".