A Gap Analysis of Mental Health and Addictions Support Services in Richmond, British Columbia — A Community-Based Research Study
Bibliographic record
Abstract
Across Canada, mental health and addictions (MHA) has become an area of concern for health providers: it is estimated that one in five adults is affected by a mental illness or addiction. In line with the provincial Ministries of Health Services and Child and Family Development ten-year plan to address MHA in BC, a community-based MHA service gap analysis was undertaken in the present study in Richmond, BC. The primary objectives of this research project were to identify and validate gaps in MHA support services in Richmond based on the informed perspectives of MHA community service providers. In addition to independent and consumer informants, a total of 22 administrators and frontline workers from 10 Richmond-based organizations were interviewed for the purposes of gap validation. Analysis of key informant responses for recurring themes elucidated four main areas of improvement: navigation of MHA services, continuum of support, personalized support, and outreach. Following a meeting among key informants to discuss the results of the current gap analysis, the expectation was raised of developing a strategic action plan to address gaps in MHA service in Richmond, BC.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".