Development, implementation, and evaluation of a student-initiated undergraduate medical education elective in HIV care
Bibliographic record
Abstract
BACKGROUND: The literature indicates that medical students require more comprehensive HIV training. AIM: Medical students at the University of Toronto developed and implemented the preclerkship HIV elective (PHE) with the aim to increase trainee HIV knowledge, address important issues in HIV care, and prepare students to serve affected populations. METHODS: Developed in partnership with the Ontario HIV Treatment Network and in consultation with local AIDS service organizations and the University of Toronto Faculty of Medicine, the PHE was inaugurated in November 2008 as an elective supplement to medical curriculum content. Eighteen second-year medical students participated in the PHE, consisting of lectures, small group sessions, clinical observerships, community placements, reading assignments, and an HIV counseling and testing workshop. Participants completed a self-assessment of HIV knowledge prior to starting and after PHE completion. RESULTS: Self-assessment scores of HIV knowledge among PHE participants significantly increased from 78.1% (pre-PHE) to 90.2% (post-PHE) (p = 0.0016). Common themes from feedback on participant satisfaction included enthusiasm for small group sessions, clinical observerships, community agency placements, and the diversity of topics covered. CONCLUSIONS: Student-run initiatives can supplement medical curriculum content and program feedback may be used to advocate for curriculum changes. Factors influencing success include student leadership and interest, community partnerships, and faculty mentorship.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".