“When you’re in the office, it means you managed to get somewhere”: An interpretive descriptive study of the perceptions of adolescents accessing primary care for mental health services
Bibliographic record
Abstract
Objective: Primary care offers an entry point into the health care system for adolescents experiencing mental illnesses. This study explored the perceptions of adolescents with an anxiety or mood disorder accessing primary care for mental health services. Methods: Qualitative interpretive descriptive design was employed. Participants ages 15-18 years (n = 10) were recruited from a mid-sized city in Canada utilizing flyers and social media advertisements. Data were collected between August and December 2019. Data generation methods included photo-elicitation, demographic survey, and semi-structured interviews. Analysis was guided by a health care access framework and ecological model. Results: Adolescents perceived the process of accessing primary care for mental health services as complex and beginning prior to entering the primary care environment; a novel conceptual framework was developed to depict the process. Adolescents described three stages in this process: feeling uncertain about their concerns and requiring help; seeking informal support from parents and friends to initiate help-seeking; and receiving mental health services through primary care. Discussion: A novel conceptual framework to depict the process of access for adolescents is proposed. Primary care practitioners require awareness of the access process adolescents conceptualize prior to deciding to seek help in primary care, as well as the need to foster their emerging adulthood in care. Targeted interventions to enable early intervention include providing information about mental health services available during routine interactions.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".