Think global, act local: Medical students contextualize global health education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: There is considerable heterogeneity in the extent to which global health education is emphasized in undergraduate medical curricula. Here, we performed an exploratory analysis to test the hypothesis that exposure to global health education may influence the attitudes of medical students toward the treatment of local vulnerable patient populations. METHODS: All pre-clerkship students at an urban Canadian university were invited to attend a voluntary global health education session on challenges in treating human immunodeficiency virus (HIV) in the developing world. Those who attended as well as those who did not completed pre- and post-session surveys measuring willingness to treat patients with HIV and related attitudes. A repeated measure analysis of variance (ANOVA) was performed to assess the effect of the intervention on attitudes toward locally affected populations. RESULTS: A total of 201 (81.4%) and 143 (58.3%) students completed the pre- and post-session surveys, respectively. Students who scored their willingness to treat patients with HIV within highest 10% of the scale on the pre-session survey were excluded from the analysis to account for a ceiling effect. On repeated measure ANOVA, willingness to treat local patients with HIV increased significantly following the session (P < 0.01). Students intending to attend the session also reported a greater propensity to treat patients with HIV than those who did not (P = 0.03). DISCUSSION: In this exploratory study, we find that following exposure to a global health lecture on the challenges of HIV in the developing world, students possessed more favorable attitudes toward the treatment of marginalized local patient populations, a finding that may be exploited in undergraduate and continuing medical education.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it