Development of the Department of Veterans Affairs Centers of Excellence in Primary Care Education Trainee Participant Survey: Measuring Trainees’ Perceptions of an Interprofessional Education Curriculum
Bibliographic record
Abstract
Background: The Trainee Participant Survey was developed for the evaluation of the Department of Veterans Affairs, Centers of Excellence in Primary Care Education (VA CoEPCE), which developed and delivered an interprofessional education (IPE) postgraduate curriculum to learners of multiple professions at seven geographically diverse VA facilities across the United States.Methods and findings: Perceptions of the curriculum by learners across professions were assessed to identify differences in curricular perceptions and unmet needs to inform programmatic changes. The comparison of responses by profession revealed no statistically significant differences across the core domains; precepting, supervising, mentoring; or program practices. Trainee professions differed significantly on satisfaction and system impacts.Conclusion: The Trainee Participant Survey has excellent psychometric properties and can serve as a model for evaluating future IPE programs.
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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 | 0.022 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".