The impact on medical practice of commitments to change following CME lectures: A randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Self-reported commitment to change (CTC) could be a potentially valuable method to address the need for continuing medical education (CME) to demonstrate clinical outcomes. AIM: This study determines: (1) are clinicians who make CTCs more likely to report changes in their medical practices and (2) do these changes persist over time? METHODS: Intervention participants (N = 80) selected up to three commitments from a predefined list following the lecture, while control participants (N = 64) generated up to three commitments at 7 days post-lecture. At 7 and 30 days post-lecture, participants were queried if any practice change occurred as a result of attending the lecture. RESULTS: About 91% of the intervention group reported practice changes consistent with their commitments at 7 days. Only 32% in the control group reported changes (z = 7.32, p < 0.001). At 30 days, more participants in the intervention group relative to the control group reported change (58% vs. 22%, z = 3.74, p < 0.01). Once a participant from either group made a commitment, there were no differences in reported changes (63% vs. 67%, z = <0.00, p = 0.38). CONCLUSION: Integration of CTC is an effective method of reinforcing learning and measuring outcomes.
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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 | 0.015 | 0.178 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".