Exploring a case for education about sexual and gender minorities in postgraduate emergency medicine training: forming recommendations for change
Bibliographic record
Abstract
Social medicine and health advocacy curricula are known to be uncommon in postgraduate medical education. As justice movements work to unveil the systemic barriers experienced by sexual and gender minority (SGM) populations, it is imperative that the emergency medicine (EM) community progress in its efforts to provide equitable, accessible, and competent care for these vulnerable groups. Given the paucity of literature on this subject in the context of EM in Canada, this commentary borrows evidence from other specialties across North America. Trainees across specialties and of all stages are caring for an increasing number of SGM patients. Lack of education at all levels of training is identified as a significant barrier to adequately caring for these populations, thereby precipitating significant health disparities. Cultural competency is often mistakenly attributed to a willingness to treat rather than the provision of quality care. However, positive attitudes do not necessarily correlate with trainee knowledge. Barriers to creating and implementing culturally competent curricula are plentiful, yet facilitating policies and resources are rare. While international bodies continuously publish position statements and calls to action, concrete change is seldom made. The scarcity of SGM curricula can be attributed to the universal absence of formal acknowledgment of SGM health as a required competency by accreditation boards and professional membership associations. This commentary synthesizes hand-picked literature in an attempt to inform healthcare professionals on their journey toward developing culturally competent postgraduate medical education. By thematically organizing evidence into a stepwise approach, the goal of this article is to borrow ideas across medical and surgical specialties to inform the creation of recommendations and make a case for an SGM curriculum for EM programs in Canada.
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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 | 0.069 | 0.142 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.023 | 0.030 |
| Scholarly communication | 0.021 | 0.034 |
| Open science | 0.013 | 0.021 |
| Research integrity | 0.055 | 0.062 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".