Self-perceived confidence and competence of medical students in treating patients with diverse sexualities and genders
Bibliographic record
Abstract
Introduction: Insufficient knowledge among health staff about people with diverse sexualities and genders (DSGs) can hinder access to care. This student-initiated project aimed to ascertain medical students’ self-perceived confidence and competence in treating patients with DSGs, identify student satisfaction with DSG curricular content and identify discrimination and/or biases. Methods: In 2022, medical students from an Australian medical program were surveyed using an adapted medical student survey instrument used in the United States and Canada. Results: The response rate of 15% (n = 91) included 70% heterosexual students. Respondents reported more confidence in treating patients with diverse sexualities (68%) compared to patients with diverse genders (41%). They reported greater competence in identifying their own implicit biases and impact on the delivery of DSG care (75%) but were less competent in describing treatment options (17%). Respondents reported having witnessed or experienced DSG discrimination (26%) and heterosexism (38%). Respondents (93%) want increased DSG content in the medical curriculum. Conclusion: To address gaps in DSG health knowledge among clinicians, further DSG teaching in the medical curriculum may inform better future practice and patient care.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".