Patient Experience in Health Professions Curriculum Development
Bibliographic record
Abstract
To enhance student learning, many health profession programs are embracing involvement of patients in their curricula, yet little is known about the impact of such an experience on patients. OBJECTIVE: To understand the experiences of patients who contributed to the creation of a Verbatim Reader's Theater used in health professions curriculum. METHODS: A semi-structured interview was conducted with a focus group of 3 patients who participated in curriculum development. The interview was recorded, transcribed verbatim, and analyzed for themes using van Manen approach to hermeneutic phenomenology. RESULTS: Five themes emerged: (1) contextualizing contribution, (2) addressing expectations, (3) changing health-care service delivery, (4) sharing common experiences, and (5) coordinating participation. CONCLUSION: Patients had a positive experience contributing to curriculum development and found meaning in sharing their lived experience to shape the values of future clinicians. Strategies to promote continued success in partnership between patients and health professional curriculum developers include clear communication about the project's direction and early discussion of patient role and expectations.
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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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".