Review and Analysis of International Transgender Adult Primary Care Guidelines
Bibliographic record
Abstract
Purpose: To examine and critique current international clinical practice guidelines (CPGs) related to providing primary care to transgender adults and to assess their applicability to practice. Methods: A review was conducted to obtain English language clinical guidelines. Guidelines included in this review were obtained from published journals and gray literature. Guidelines were critiqued using the AGREE II instrument. Results: Seventeen documents were included in the final review. Eleven were specifically designed for primary care practitioners, whereas the remaining six were deemed applicable to primary care. Overall, across the CPGs, the scope, purpose, and clarity of presentation were done well. However, the overall methodological rigor in guideline development was poor. Many CPGs included useful tools that could be helpful for the primary care practitioner. Conclusions: CPGs can be an important support for primary care providers' clinical practice with transgender people, particularly after having received limited formal education in transgender care. Improvements in transgender health CPG rigor and transparency are needed. Future CPGs would benefit from recommendations on the nuanced discussion of gender concepts and interpersonal communication that can create conflict in health care 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 | 0.034 | 0.143 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.022 | 0.021 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".