Protocol for a scoping review on the methods for engaging long-term care residents with dementia in research and guideline development
Bibliographic record
Abstract
INTRODUCTION: Patient engagement is important when developing health guidelines to ensure high-quality and patient-centred recommendations. However, patient engagement in research and guideline development remains suboptimal, particularly for vulnerable populations, including residents with dementia living in long-term care (LTC) who are often not included in research and guideline development because of perceived and actual challenges with their health, memory, concentration and communication. Optimal strategies and methods for engaging LTC residents with dementia in research and guideline development remain unknown. METHODS AND ANALYSIS: We will conduct a scoping review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension to answer the research questions: (1) What methods have been used to engage LTC residents with dementia in research and guideline development? (2) What are the outcomes of resident engagement? (3) What are the barriers and facilitators to resident engagement? Systematic searches for peer-reviewed articles will be conducted in: Academic Search Premier (EBSCO), APA PsycINFO (EBSCO), CINAHL (EBSCO), Medline (OVID), Embase (Elsevier), Web of Science, and Cochrane Database and in grey literature. Two team members will screen articles and extract data. Results will be presented according to the research question they address. We will engage stakeholders including residents, family members, healthcare providers and representatives from relevant organisations throughout the study. ETHICS AND DISSEMINATION: The scoping review will synthesise what is known about resident engagement in research and guideline development. It may identify gaps in the literature about the optimal methods to engage residents in performing research and developing guidelines and reveal opportunities for new methods. The results will be helpful for researchers and policy-makers seeking to develop guidelines and researchers engaging in topics that reflect the priorities and experiences of people with dementia. Results of the scoping review will be disseminated via publication in a peer-reviewed journal and conference presentations, and a one-page lay summary will be shared with our engaged stakeholders.
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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 | 0.181 | 0.234 |
| Meta-epidemiology (narrow) | 0.007 | 0.008 |
| Meta-epidemiology (broad) | 0.016 | 0.021 |
| Bibliometrics | 0.018 | 0.018 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.007 | 0.009 |
| Research integrity | 0.016 | 0.015 |
| Insufficient payload (model declined to judge) | 0.160 | 0.039 |
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".