Improving the LGBTQ2S+ cultural competency of healthcare trainees: Advancing health professional education.
Bibliographic record
Abstract
BACKGROUND: Lesbian, Gay, Bisexual, Trans, Queer, and Two-spirit (LGBTQ2S+) populations experience worse health outcomes compared to age-matched heterosexual and cisgender peers. Health professionals' deficient knowledge and negative attitudes can contribute to these inequities. Healthcare trainees report insufficient LGBTQS2+ cultural competence training. METHODS: In this prospective, mixed-methods pre-post design, Atlantic Canadian health students were tested on knowledge, attitudes and self-reported behaviours towards LGBTQ2S+ populations in healthcare settings. Assessment included psychometric measurements and clinical cases involving normative and non-normative fictional patients. Participants were randomised to intervention or control groups. The intervention consisted of three training sessions lead by LGBTQ2S+ experts and elders from the community. The control group continued with usual training. Full assessment was repeated after training. We also held focus group discussions with students and faculty. RESULTS: The intervention group significantly improved attitudes toward and knowledge of LGBTQ2S+ populations and changed relevant aspects of their performance in the simulated clinical situations. Focus groups identified key gaps in current local training. CONCLUSIONS: Integrating specific training related to LGBTQ2S+ health within health professions programs is an important step toward improving these populations' accessibility to a competent, exhaustive and nurturing healthcare. Additional research on innovative means to expand and broaden the scope of our training is warranted.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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 teacher head, 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".