Adolescents Identify Modifiable Community-Level Barriers to Accessing Mental Health and Addiction Services in a Rural Canadian Town: A Survey Study
Bibliographic record
Abstract
Adolescents are particularly vulnerable to inadequate provision of mental health and addictions care, as services have been traditionally conceptualized to serve the needs of children or adults. Additionally, rural communities have been largely excluded from research investigating mental healthcare access and exhibit unique barriers that warrant targeted interventions. Finally, perspectives from the target population will be most important when understanding how to optimize adolescent mental health and addictions care. Therefore, the purpose of this study was to identify what adolescents in a rural town perceive as barriers to accessing mental health services. We conducted a cross-sectional survey study with high school students to generate ranked lists of the top perceived individual-level, community-level, and overall barriers. A total of 243 high school students responded to the survey. Perceived barriers were predominantly at the community level. Overall, the top barriers reported were a lack of awareness and education regarding mental health, resources, and the nature of treatment. Students who had previously accessed mental health services identified primary barriers related to mental health professionals, whereas students who had not accessed care reported fear and uncertainty as primary barriers. Modifiable community-level factors related to (1) mental health literacy and (2) mental healthcare professionals were identified by adolescents as the main perceived barriers to accessing mental health and addiction services in a rural town. The findings of this preliminary study should inform intervention strategies and further rigorous research for this traditionally underserved target population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".