Use of the emergency department as a first point of contact for mental health care by immigrant youth in Canada: a population-based study
Bibliographic record
Abstract
BACKGROUND: Emergency department visits as a first point of contact for people with mental illness may reflect poor access to timely outpatient mental health care. We sought to determine the extent to which immigrants use the emergency department as an entryway into mental health services. METHODS: = 118 851). The main outcome measure was an emergency department visit for mental health reasons without prior mental health care from a physician on an outpatient basis. The main predictor of interest was immigrant status (refugee, non-refugee immigrant and non-immigrant). Immigrant-specific predictors included time since migration, and region and country of origin. We used Poisson models to estimate adjusted rate ratios (aRRs) and 95% confidence intervals (CIs). RESULTS: The cohort included 2194 (1.8%) refugee, 6680 (5.6%) non-refugee immigrant and 109 977 (92.5%) nonimmigrant youth. Rates of first mental health contact in the emergency department were higher among refugee (61.3%) and non-refugee immigrant youth (57.6%) than non-immigrant youth (51.3%) (refugee aRR 1.17, 95% CI 1.13-1.21; non-refugee immigrant aRR 1.10, 95% CI 1.08-1.13). Compared with non-refugee immigrants, refugees had a higher rate of first mental health contact in the emergency department (aRR 1.06, 95% CI 1.02-1.11). We also observed higher rates among recent versus longer-term immigrants (aRR 1.10, 95% CI 1.05-1.16) and immigrants from Central America (aRR 1.17, 95% CI 1.08-1.26) and Africa (aRR 1.15, 95% CI 1.06-1.24) versus from North America and Western Europe. INTERPRETATION: Immigrant youth are more likely to present with a first mental health crisis to the emergency department than non-immigrants, with variability by region of origin and time since migration. Immigrants may face barriers to access and use of outpatient mental health services from a physician. Efforts are needed to reduce stigma and identify mental health problems early, before crisis, among immigrant populations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".