Teens' Perspectives on Barriers and Facilitators to Accessing School-based Clinics
Bibliographic record
Abstract
Objective: This qualitative study explores teens' perspectives on facilitators and barriers to accessing school-based clinics, emphasizing the importance of youth self-report. Methods: We conducted in-person interviews with teens (N = 25) at 2 high schools that had school-based clinics in Winnipeg, Manitoba (Canada). We supplemented the interviews with a brief questionnaire administered to a sample of teens at both schools (N = 105). Data were iteratively coded and analyzed using NVivo. Results: Teens framed 5 clinic attributes that facilitated access: confidential, welcoming, judgment-free, validating and understanding, and fast/easy/convenient. Teens identified judgment from peers, fear and anxiety, hours/wait times, lack of privacy, and teens who gather at the clinic to socialize as factors that made the clinic hard to access or inhibited access entirely. Conclusions: School-based clinics were highly regarded by teens who used them. The most important factors underlying ease of use were assurance of confidentiality and a positive client-provider relationship that made teens feel safe and comfortable. However, considerable individual and structural barriers remain to ensuring the clinics are teen-friendly and accessible.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".