Do US medical students report more training on evidence-based prevention topics?
Bibliographic record
Abstract
Little is known about the extent to which evidence-based prevention topics are taught in medical school. All class of 2003 medical students (n = 2316) at 16 US schools were eligible to complete three questionnaires: at the beginning of first and third years and in their senior year, with 80.3% responding. We queried these students about 21 preventive medicine topics, concerning the extent of their training and their patient counseling frequency at some of these time points. At the beginning of the third year, self-reported extensive training was low for all preventive medicine topics (range 7-26%). USPSTF-recommended topics received more curricular time (median for topics: 36% if recommended versus 24.5% if not, P = 0.025), as did topics addressed through testing rather than through discussion (median for topics: 37% for testing and 25% for discussion, P = 0.005). Extensive training was always associated with higher counseling frequency, and intention to go into primary care, female gender, a positive attitude toward prevention and positive personal health habits were associated with higher counseling frequency. Although some bemoan the overall low levels of US medical students' prevention-related training and practice, we demonstrate that at least they are preferentially evidence-based, a novel and encouraging finding for preventionists.
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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 | 0.043 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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; both teacher heads agree on what is shown here.
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".