Healthcare utilisation and characteristics of adults with fetal alcohol syndrome: a descriptive population-based cohort study in Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: Adults with Fetal Alcohol Syndrome (FAS) experience many adverse health and social outcomes, yet their healthcare utilisation is under-researched. METHOD: This population-based descriptive cohort study utilised ICES provincial administrative health databases and Canadian Death Vital Statistics to identify adults with FAS via usage of hospital-based services (2002-2013) and examine their demographics, healthcare utilisation, mental health and addiction diagnoses, and mortality during follow-up (2014-2017). RESULTS: 565 adults with FAS were included in the cohort. During the follow-up period, 27% used in-patient psychiatric care; 30% the emergency department 12 + times; 28% were hospitalised at least once; and 17% used home care services. They displayed high rates of physical and mental health comorbidities, substance use disorders, history of abuse, and income from social assistance. CONCLUSION: Adults with FAS require accessible and extensive healthcare services to address their complex needs and improve long-term outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| 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".