Family Physician Access among Trans People in Ontario: A Cross-sectional Analysis of Social Determinants of Health and Inequality Issues.
Bibliographic record
Abstract
For trans Ontarians with access to publicly insured health care, this study aimed to determine predictors of not having a family physician, as well as to identify factors that influence a trans patient’s comfort discussing trans status or trans-related health needs with their physician. Previously collected demographic and family physician access related data (n=433) were used. Multiple logistic predictive model showed that age, marital status, education, employment, income-to-needs ratio, and social support independently predicted not having a family physician. Marital status, negative trans-specific experience with family physicians, and perception of family physician's knowledge about trans health needs were identified as important predictors of discomfort with family physicians across gender spectra. These findings will be informative in addressing the inequality issues relating to access to care in trans communities. The results may also be helpful in changing the manner in which primary care services are delivered, helping to improve trans-related physician-patient discussion.
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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 | 0.000 | 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 | 0.002 | 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) | 0.002 | 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".