Barriers to Access to Mental Health Services for Ethnic Seniors: The Toronto Study
Bibliographic record
Abstract
OBJECTIVE: To identify and describe barriers to access to mental health services encountered by ethnoracial seniors. METHOD: A multiracial, multicultural, and multidisciplinary team including a community workgroup worked in partnership with seniors, families, and service providers in urban Toronto Chinese and Tamil communities to develop a broad, stratified sample of participants and to guide the study. This participatory, action-research project used qualitative methodology based on grounded theory to generate areas of inquiry. Each of 17 focus groups applied the same semistructured format and sequence of inquiry. RESULTS: Key barriers to adequate care include inadequate numbers of trained and acceptable mental health workers, especially psychiatrists; limited awareness of mental disorders among all participants: limited understanding and capacity to negotiate the current system because of systemic barriers and lack of information; disturbance of family support structures; decline in individual self-worth; reliance on ethnospecific social agencies that are not designed or funded for formal mental health care; lack of services that combine ethnoracial, geriatric, and psychiatric care; inadequacy and unacceptability of interpreter services; reluctance of seniors and families to acknowledge mental health problems for fear of rejection and stigma; lack of appropriate professional responses; and inappropriate referral patterns. CONCLUSIONS: There is a clear need for more mental health workers from ethnic backgrounds, especially appropriately trained psychiatrists, and for upgrading the mental health service capacity of frontline agencies through training and core funding. Active community education programs are necessary to counter stigma and improve knowledge of mental disorders and available services. Mainstream services require acceptable and appropriate entry points. Mental health services need to be flexible enough to serve changing populations and to include services specific to ethnic groups, such as providing comprehensive care for seniors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".