Patient and public involvement in the development of clinical practice guidelines: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Clinical practice guidelines (CPGs) are intended to optimise patient care by recommending care pathways based on the best available research evidence and practice experience. Patient and public involvement (PPI) in healthcare is recommended based on the expectation that it will improve the quality and relevance of outcomes. There is no consensus on what constitutes meaningful and effective PPI in CPG. We will conduct a scoping review to identify and synthesise knowledge in four key areas: who have been the patients and public previously involved in CPG development, how were they recruited, at what stage in the CPG process were they involved and how were they involved. This knowledge will inform a general model of PPI in CPG to inform CPGs development. METHODS AND ANALYSIS: We will conduct a scoping review using the Methodology for Scoping Reviews refined by the Joanna Briggs Institute. Searches will be conducted in electronic databases (PubMed, Embase, CINAHL and PsycINFO). National standards for developing CPGs from Australia, UK, Canada and the USA will also be identified. A forward and backward citation search will be conducted on the included studies and national standards. Abstracts and full-text studies will be independently screened by two researchers. Extracted data will include study details, type of clinical guideline and the four key areas, which patients and public were involved, how were they recruited, at what stage were they included and how they were involved. Data will be narratively synthesised. ETHICS AND DISSEMINATION: As a scoping review, this study does not require ethics approval. We intend to disseminate the results through publication in a peer-reviewed journal and conference presentations. Furthermore, we will use the findings from our scoping review to inform future research to fill key evidence gaps identified by this review.
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 | 0.215 | 0.160 |
| Meta-epidemiology (narrow) | 0.005 | 0.007 |
| Meta-epidemiology (broad) | 0.010 | 0.011 |
| Bibliometrics | 0.019 | 0.016 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.008 | 0.010 |
| Research integrity | 0.014 | 0.011 |
| Insufficient payload (model declined to judge) | 0.089 | 0.029 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".