Canadian Children and Youth in Care: The Cost of Fetal Alcohol Spectrum Disorder
Bibliographic record
Abstract
BACKGROUND: A high prevalence of prenatal alcohol exposure has been reported among children in care and thus, the risk of fetal alcohol spectrum disorder (FASD) in this population is high. OBJECTIVE: The purpose of the current study was to estimate the number of children (0-18 years) in care with FASD and to determine the associated cost by age group, gender, and province/territory in Canada in 2011. METHODS: The prevalence of children in care by province/territory was obtained from the Canadian Child Welfare Research Portal, and the number of children in care with FASD for each province/territory was estimated from available epidemiological studies. In order to calculate the total cost per province/territory, the cost per individual per day, by age group, was applied to the respective number of children in care with FASD. RESULTS: The estimated number of children in care with FASD ranged from 2,225 to 7,620, with an annual cost of care ranging from $57.9 to $198.3 million Canadian dollars (CND). The highest overall cost ($29.5 to $101.1 million CND) was for 11-15 year-olds. CONCLUSION: The study findings can be used to demonstrate the substantial economic burden that FASD places on the child welfare system. Attention towards the needs of this population and prevention efforts to reduce FASD incidence in Canada, and other countries are urgently needed.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".