Primary care access and foregone care: a survey of transgender adolescents and young adults
Bibliographic record
Abstract
Objective: To examine the issues of primary care access and foregone health care among transgender adolescents and young adults. Methods: This cross-sectional analysis of data from the Canadian Trans Youth Health Survey was conducted online during 2013-2014. Participants included 923 youth aged 14-25 (323 adolescents aged 14-18 and 600 young adults aged 19-25). Main outcome measures were self-reported general and mental health status, comfort discussing transgender identity and health care needs with general practitioners, and types of and reasons for self-identified foregone health care. Results: Most youth reported poor/fair general and mental health status. Comfort with a family doctor was positively correlated with both general health (r(528) = 21, P < 0.001) and mental health (r(450) = 26, P < 0.001) status, as was having a doctor who was aware of one's transgender status. 47.2% (n = 219) of young adults reported foregoing needed health care. Among adolescents, levels of comfort with family doctor were negatively correlated with foregone mental health care in the previous 12 months (F3,166 = 3.829, P = 0.011), but not correlated with foregone physical health care (F3,165 = 0.506, P = 0.679). Reasons for missing needed care spanned the dimensions of health care access, ranging from cost barriers to previous negative experiences with health care providers, and concerns that a doctor would be uneducated about transgender people. Conclusion: General practitioners can play a key role in improving the health of transgender youth by demonstrating understanding of the health care needs of transgender youth and competence in gender-affirming care, and by ensuring that their practices are accessible to all transgender youth in need of care.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".