Nothing about me without me: a scoping review of how illness experiences inform simulated participants’ encounters in health profession education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Person-centred simulation in health professions education requires involvement of the person with illness experience. Objective: To investigated how real illness experiences inform simulated participants' (SP) portrayals in simulation education using a scoping review to map literature. Study selection: Arksey and O'Malley's framework was used to search, select, chart and analyse data with the assistance of personal and public involvement. MEDLINE, Embase, CINAHL, Scopus and Web of Science databases were searched. A final consultation exercise was conducted using results. Findings: 37 articles were within scope. Reporting and training of SPs are inconsistent. SPs were actors, volunteers or the person with the illness experience. Real illness experience was commonly drawn on in communication interactions. People with illness experience could be directly involved in various ways, such as through conversation with an SP, or indirectly, such as a recording of heart sounds. The impact on the learner was rarely considered. Conclusion: Authentic illness experiences help create meaningful person-centred simulation education. Patients and SPs may both require support when sharing or portraying illness experience. Patients' voices profoundly enrich the educational contributions made by SPs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it