Engaging older adults in healthcare research and planning: a realist synthesis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PLAIN ENGLISH SUMMARY: The importance of citizen involvement in healthcare research and planning has been widely recognized. There is however, a lack of understanding of how best to engage older adults, Canada's fastest growing segment of the population and biggest users of the healthcare system. We aimed to address this gap by developing an understanding of the engagement of older adults and their caregivers in healthcare research and planning. We conducted a review of available knowledge on engagement in healthcare research and planning with a focus on older adults and their caregivers. A five stage engagement framework emerged from this study that can be used to guide engagement efforts. We are continuing to collaborate with older adults and decision makers to develop and test strategies based on the presented framework. ABSTRACT: We have identified a framework that promotes meaningful engagement of older adults and their caregivers. We are continuing to collaborate with our community partners to further develop and evaluate engagement strategies that align with the presented framework.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.044 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it