Patient engagement in research related to dementia: A scoping review
Bibliographic record
Abstract
Patient 'engagement' or 'involvement' in health research broadly refers to including people with lived experience (i.e. individuals with personal experience of a health issue and their friends, family and caregivers or carers) in the research process. Although previous reviews have systematically summarized approaches to patient engagement in research, it is unclear whether and how engagement activities have been implemented or adapted for research related to dementia. We conducted a scoping review to describe the extent and nature of patient engagement approaches that have been used to involve persons with dementia and their care partners in research. We then summarized the reported barriers, enablers, and impacts of this engagement. Fifty-four research articles were included in the review and almost all were published after 2010. Persons with dementia and their care partners have been engaged in diverse phases of the research process. The majority of engagement involved both persons with dementia and care partners. Barriers and enablers to engagement included those identified for general patient engagement in research, but some more specific to engaging persons with dementia and their care partners were also reported. Very few studies assessed the impact of patient engagement. While the arguments for patient engagement in research are compelling, research to demonstrate the impact - on the research process and outcomes as well as on persons with dementia, care partners, researchers, research institutions and society - is still needed.
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 | 0.016 | 0.064 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.013 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".