Mental health service use by recent immigrants from different world regions and by non-immigrants in Ontario, Canada: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Given that immigration has been linked to a variety of mental health stressors, understanding use of mental health services by immigrant groups is particularly important. However, very little research on immigrants' use of mental health service in the host country considers source country. Newcomers from different source countries may have distinct experiences that influence service need and use after arrival. This population study examined rates of use of primary care and of specialty services for non-psychotic mental health disorders by immigrants to Ontario Canada during their first five years after arrival. Service use by recent immigrants in broad source region groups representing all world regions was compared to use by age-matched Canadian-born or long term immigrants (called long term residents). METHOD: This matched population-based cross-sectional study assessed likelihood of any use and counts of visits for each of primary care, psychiatric care and hospital care (emergency department visits or inpatient admissions) for non-psychotic mental health disorders from 1993-2012. Adult immigrants living in urban Ontario (n = 912,114) were categorized based on their nine world regions of origin. Sex-stratified conditional logistic regression models and negative binomial models were used to compare service use by immigrant region groups to their age-matched long term residents. RESULTS: Immigrant were more or less likely to access primary mental health care compared to age-matched long term residents, depending on their world region of origin. Regarding specialty mental health care (psychiatry and hospital care), immigrants from all regions used less than long term residents. Across the three mental health services, estimates of use by immigrant region groups compared to long term residents were among the lowest for newcomers from East Asian and Pacific (range: 0.16-0.82) and among the highest for persons from Middle East and North Africa (range: 0.56-1.23). CONCLUSION: This population-based study showed lower use of mental health services by recent immigrants than long-term immigrants or native born individuals, with variation in immigrants' use linked to world region of origin and type of mental health care. Variation across source region groups underscores the importance of identifying underlying individual characteristics that affect service use to make services more responsive to newcomers.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 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".