Patients and public involvement in research
Bibliographic record
Abstract
This e-book is the outcome of a collaboration among physiotherapists, professors, and researchers from Brazilian public universities. It was produced with the aim of fostering advancements in health research in Brazil by engaging patients and the public. The primary goal is to offer insights, in a comprehensible manner, on patient and public involvement (PPI) in research, including methods for their engagement at various research phases, practical considerations, PPI training, assessment of PPI approaches, challenges, opportunities, and ethical aspects. The content provided will aid in the education of existing researchers and a new cohort of Brazilian researchers, dedicated to integrating the viewpoint of patients and the public throughout various research phases, spanning from formulating research inquiries to sharing findings, facilitating the creation of significant insights that influence their well-being. The education of patients and individuals keen on collaborating in research advancement can also be facilitated through the content of this e-book. The chapters were authored with the involvement of experienced professors in PPI, acquired through a partnership with researchers from Canada, the Netherlands, the United Kingdom, and Ireland. This collaboration included undergraduate, master's, and doctoral students engaged in pioneering research projects conducted in various regions of Brazil using PPI. This marks the initial of numerous PPI training endeavors to be pursued by this group. A subsequent e-book is presently in progress and will showcase successful PPI experiences in Brazil, Canada, Chile, the Netherlands, Ireland, the United Kingdom, and Uganda, crafted in partnership with our global associates. We are establishing PPI groups in Brazil and planning "PPI Schools" to educate the academic community and individuals from the public interested in patient and/or public involvement research. Follow the Patient and Public Involvement Group on Instagram (@epp.brasil) for additional details and upcoming PPI training initiatives
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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 | 0.025 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".