Engagement of people with lived experience of dementia advisory group and cross-cutting program: reflections on the first year
Bibliographic record
Abstract
BACKGROUND: The objective of this paper is to describe the activities, challenges and mitigation strategies, lessons learned and reflections on the importance of engagement from the first year of the Canadian Consortium on Neurodegeneration in Aging (CCNA) Engagement of People with Lived Experience of Dementia (EPLED) Advisory Group and cross-cutting program. EPLED was created to support persons with dementia and care partners to be actively involved in the CCNA research process. MAIN BODY: The Advisory Group was formed to work with CCNA researchers and programs to develop new ways to further collaborate and advance the methods of patient engagement in research on dementia. A role profile and recruitment poster were developed and, after interviews, 17 people were invited to join the Advisory Group. We planned three online EPLED meetings to take place between July-August of 2020, with one in-person meeting to be held in Canada. Due to COVID-19, we moved all of these meetings online. In the first year, EPLED and the Advisory Group met seven times formally, four times informally, developed a website, engaged with CCNA research projects, participated in CCNA "Central" activities and formulated an evaluation plan. For researchers and people with lived experience of dementia, motivations for patient engagement included challenging stigma, making meaning from their experience (such as building relationships and having their voices heard) and contributing to research. Common challenges to engagement were related to navigating the impact of COVID-19, such as difficulty in getting to know each other and technical issues with video-conference software. We learned that developing trusting relationships, providing education, offering support, being flexible and acknowledging tensions between research, practice and lived experience, were vital to the success of the Advisory Group. CONCLUSION: The first year of the EPLED Advisory Group demonstrated the potential contributions of people with lived experience of dementia as partners in research. Building these collaborations with individuals and communities-people living with dementia, care partners, researchers and research institutions-has the potential for positive impact across these groups and, ultimately, improve the lives of people living with dementia and their care partners.
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How this classification was reachedexpand
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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".