Cost of specialized addiction treatment of clients with fetal alcohol spectrum disorder in Canada
Bibliographic record
Abstract
BACKGROUND: Individuals with Fetal Alcohol Spectrum Disorder (FASD) constitute a special population that may be at particularly high risk for substance use. The purpose of the current study was to estimate the utilization of specialized addiction treatment services (SATS) and the associated cost, as a part of the total cost of health care associated with FASD in Canada. METHODS: The current study was a modeling study. Data on SATS by lifetime mental disorder status were obtained from the Drug and Alcohol Treatment Information System (DATIS) in Ontario, Canada for 2010/11. The number of clients with FASD who received SATS in Ontario in 2010/11 was estimated, assuming that approximately 37% (confidence interval: 21.6%-54.5%) of individuals with FASD abuse or are addicted to alcohol and/or drugs and that their utilization rate of SATS is the same as those for people with a lifetime mental disorder. The data from DATIS was then extrapolated to the total Canadian population. RESULTS: The cost of SATS for clients with FASD in Canada in 2010/11 ranged from $1.65 million Canadian dollars (CND) to $3.59 million CND, based on 5,526 outpatient visits and 9,529 resident days. When the sensitivity analysis was performed the cost of SATS ranged from $979 thousand CND to $5.34 million CND. CONCLUSIONS: Special attention must be paid to at-risk groups of individuals such as those with FASD, in order to reduce the likelihood of the development of co-morbid substance abuse problems, and thus, reducing the overall burden on Canadian society.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".