Examining the relationship between neighbourhood deprivation and mental health service use of immigrants in Ontario, Canada: a cross-sectional study
Bibliographic record
Abstract
OBJECTIVE: While newcomers are often disproportionately concentrated in disadvantaged areas, little attention is given to the effects of immigrants' postimmigration context on their mental health and care use. Intersectionality theory suggests that understanding the full impact of disadvantage requires considering the effects of interacting factors. This study assessed the inter-relationship between recent immigration status, living in deprived areas and service use for non-psychotic mental health disorders. STUDY DESIGN: Matched population-based cross-sectional study. SETTING: Ontario, Canada, where healthcare use data for 1999-2012 were linked to immigration data and area-based material deprivation scores. PARTICIPANTS: Immigrants in urban Ontario, and their age-matched and sex-matched long-term residents (a group of Canadian-born or long-term immigrants, n=501,417 pairs). PRIMARY AND SECONDARY OUTCOME MEASURES: For immigrants and matched long-term residents, contact with primary care, psychiatric care and hospital care (emergency department visits or inpatient admissions) for non-psychotic mental health disorders was followed for 5 years and examined using conditional logistic regression models. Intersectionality was investigated by including a material deprivation quintile by immigrant status (immigrant vs long-term resident) interaction. RESULTS: Recent immigrants in urban Ontario were more likely than long-term residents to live in most deprived quintiles (immigrants--males: 22.8%, females: 22.3%; long-term residents--both sexes: 13.1%, p<0.001). Living in more deprived circumstances was associated with greater use of mental health services, but increases were smaller for immigrants than for long-term residents. Immigrants used less mental health services than long-term residents. CONCLUSIONS: This study adds to existing research by suggesting that immigrant status and deprivation have a combined effect on recent immigrants' care use for non-psychotic mental health disorders. In settings where immigrants are over-represented in deprived areas, policymakers focused on increasing immigrants' access of mental health services should broadly address the influence of structural and cultural factors beyond the disadvantage.
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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 | 0.002 | 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) | 0.000 | 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".