Encouraging Reflection and Change in Clinical Practice: Evolution of a Tool
Bibliographic record
Abstract
This article describes the systematic development and gradual transformation of a tool to guide participants in a continuing medical education program to reflect on their current practices and to make commitments to change. The continuous improvement of this tool was influenced by evolving needs of the program, reviews of relevant educational literature, feedback from periodic program surveys, interviews with group facilitators, and results from educational research studies. As an integral component of the educational process used in the Practice Based Small Group Learning Program, the current tool is designed to help family physicians think about what has been learned during each educational session and examine issues related to the implementation of evidence-based changes into their clinical practice. Lessons learned will be highlighted. Both the developmental processes employed and the practice reflection tool itself have applicability to other educational environments that focus on continuing professional development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.119 | 0.216 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.011 | 0.005 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.012 | 0.016 |
| Open science | 0.006 | 0.012 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".