A Qualitative Exploration of Experiences of Accessing Services Among Patients with Mental Health and Addiction Disorders
Bibliographic record
Abstract
The mental health crisis in Canada is escalating rapidly, placing immense pressure on the healthcare system. This is particularly concerning for individuals with mental health and addiction disorders, who depend on primary and community-based healthcare services to manage their conditions. Inadequate and delayed care for these populations can result in worsening symptoms, higher mortality rates, and excessive reliance on emergency services. This study explores patients' experiences with accessing primary and community-based healthcare service to enhance service accessibility and utilization, and address excessive use of emergency services, which are often poorly equipped to provide long-term mental health and addiction care. Interviews with 22 individuals living with mental health and/or addiction disorders highlight the significance of positive relationships with healthcare providers, the impact of systemic barriers on help-seeking behaviors, and the coping strategies developed to navigate these challenges. The paper concludes with actionable policy recommendations aimed at addressing barriers and strengthening facilitators to improve healthcare delivery to those with mental health and/or addiction disorders.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".