Primary Care and Access to Mental Health Consultations among Immigrants and Nonimmigrants with Mood or Anxiety Disorders: Soins de première ligne et accès aux consultations en santé mentale chez les immigrants et les non-immigrants souffrant de troubles de l’humeur ou anxieux
Bibliographic record
Abstract
OBJECTIVE: To examine the association between usual place of primary care and mental health consultation among those with self-reported mood or anxiety disorders. We also describe access to mental health services among people who are recent immigrants, longer-term immigrants, and nonimmigrants and determine whether the association with place of primary care differs by immigration group. METHODS: We used data from the Canadian Community Health Survey (2015 to 2016) to identify a representative sample of individuals with self-reported mood or anxiety disorders. We used logistic regression, with models stratified by immigration group (recent, longer-term, nonimmigrant), to examine the association between usual place of primary care and receiving a mental health consultation in the previous 12 months. RESULTS: Higher percentages of recent and longer-term immigrants see a doctor in solo practice, and a higher percentage of recent immigrants use walk-in clinics as a usual place of care. Compared with people whose usual place of care was a community health center or interdisciplinary team, adjusted odds of a mental health consultation were significantly lower for people whose usual place of care was a solo practice doctor's office (AOR = 0.71; 95% CI, 0.62 to 0.82), a walk-in clinic (AOR = 0.75; 95% CI, 0.66 to 0.85), outpatient clinic/other place (AOR = 0.72 95% CI, 0.59 to 0.88), and lowest among people reporting no usual place other than the emergency room (AOR = 0.59; 95% CI, 0.51 to 0.67). Differences in access to mental health consultations by usual place of primary care were greatest among immigrants, especially recent immigrants. CONCLUSIONS: People with mood or anxiety disorders who have access to team-based primary care are more likely to report mental health consultations, and this is especially true for immigrants. Expanded access to team-based primary health care may help reduce barriers to mental health services, especially among immigrants.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".