The patient's voice in health and social care professional education: The vancouver statement
Bibliographic record
Abstract
© Emerald Group Publishing Limited. Purpose - The purpose of this paper is to present a statement about the involvement of patients in the education of health and social care professionals developed at an international conference in November 2015. It aims to describe the current state and identify action items for the next five years. Design/methodology/approach - The paper describes how patient involvement in education has developed as a logical consequence of patient and public participation in health care and health research. It summarizes the current state of patient involvement across the continuum of education and training, including the benefits and barriers. It describes how the conference statement was developed and the outcome. Findings - The conference statement identifies nine priorities for action in the areas of policy, recognition and support, innovation, research and evaluation, and dissemination and knowledge exchange. Originality/value - The conference statement represents the first time that an international and multidisciplinary group has worked together to assemble in a single document specific priorities for action to embed the patient's voice in health professional education.
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.
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 | 0.034 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.017 | 0.026 |
| 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".