Access to mental health and addiction services for youth and their families in Ontario: perspectives of parents, youth, and service providers
Bibliographic record
Abstract
BACKGROUND: Canadian youth (aged 16-24) have the highest rates of mental health and addiction concerns across all age groups and the most unmet health care needs. There are many structural barriers that contribute to the unmet mental health care needs of youth including lack of available and appropriate services, high costs, long wait times, fragmented and siloed services, lack of smooth transition between child and adult services, stigma, racism, and discrimination, as well as lack of culturally appropriate treatments. Levesque et al. (2013) developed a framework to better understand health care access and this framework conceptualizes accessibility across five dimensions: (1) approachability, (2) availability, (3) affordability, (4) appropriateness, and (5) acceptability. The purpose of this study was to explore access to addiction and mental health services for youth in Ontario, Canada from the perspectives of youth, parents, and service providers. METHODS: This qualitative study was a university-community partnership exploring the experiences of youth with mental health concerns and their families from the perspectives of youth, caregivers, and service providers. We conducted semi-structured interviews and used thematic analysis to analyze data. RESULTS: The study involved 25 participants (n = 11 parents, n = 4 youth, n = 10 service providers). We identified six themes related to structural barriers impacting access to youth mental health and services: (1) "The biggest barrier in accessing mental health support is where to look," (2) "There's always going to be a waitlist," (3) "I have to have money to be healthy," (4) "They weren't really listening to my issues," (5) "Having more of a welcoming and inclusive system," and (6) "Health laws aren't doing what they need to do." CONCLUSION: Our study identified five structural barriers that map onto the Levesque et al. healthcare access conceptual framework and a sixth structural barrier that is not adequately captured by this model which focuses on policies, procedures, and laws. The findings have implications for policies and service provisions, and underline the urgent need for a mental health strategy that will increase access to care, improve mental health in youth, decrease burden on parents, and reduce inequities in mental health policies and services.
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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 | 0.001 | 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".