Costs of health services utilization of people with fetal alcohol spectrum disorder by sex and age group in Alberta, Canada.
Bibliographic record
Abstract
OBJECTIVES: To estimate the annual health services utilization (HSU) cost per person with FASD by sex and age; the lifetime HSU cost per person with FASD by sex, and the annual HSU cost of FASD for Alberta by sex. METHODS: The HSU costs of FASD including physician, outpatient, and inpatient services were described by sex and age. The costs per person-year were estimated by multiplying the average number of hospitalizations, outpatient visits, and physician visits per person-year by the average cost of each service. The annual HSU cost of FASD for Alberta was estimated by multiplying the annual HSU cost per person with FASD by the number of people living with FASD in Alberta in 2012. The lifetime HSU cost per person with FASD was estimated by sex for several lifespans ranging from 10 to 70 years. RESULTS: The annual cost of HSU for people with FASD in Alberta was $259 million, of which FAS accounted for 26%. The annual HSU cost per person with FAS and FASD were $6,200 and $5,600, respectively. The incremental annual HSU cost per person with FAS is $4,100 and with FASD is $3,400 as compared to the general population. The lifetime (70 years) HSU cost per person with FAS was $506,000 and with FASD was $245,000. Males had higher HSU costs than females. HSU costs of FAS and FASD varied greatly by age group. CONCLUSION: The findings suggest that FASD is a public health issue in Alberta and can be used for economic evaluations of FASD intervention and/or prevention in the province.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| 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) | 0.002 | 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".