Patient and public involvement in international research: Perspectives of a team of researchers from six countries on collaborating with people with lived experiences of dementia and end‐of‐life
Bibliographic record
Abstract
BACKGROUND: Patient and public involvement (PPI) is a critical priority in research, policy, academia and advocacy organizations. PPI in dementia research is gaining momentum. However, these efforts are missing in international projects aimed at those living with advanced dementia in long-term care (LTC) homes. Additional complexities can arise in enacting PPI within the context of integration of a palliative approach to care and experiences around end-of-life in (EOL) dementia. The mySupport study involved implementing the Family Carer Decision Support (FCDS) intervention for care partners of those living with advanced dementia in LTC in six countries. RESEARCH DESIGN AND OBJECTIVE: An interpretive description study was conducted to explore the perspectives of international researchers from six countries on engaging people with lived experiences of dementia and EOL care in research processes. The findings from this study informed the development of a PPI strategy and a subsequent toolkit for the FCDS intervention. FINDINGS: Thirty-eight interviews were completed with project researchers: 12 from the United Kingdom, 8 from Canada, 7 from Ireland, 4 each from Italy and The Netherlands and 3 from the Czech Republic. Four broad themes describe international researchers' perspectives on advancing methods of engagement for people with lived experiences of dementia and EOL in international PPI activities: (1) Groundwork to engage in research; (2) planning for research activities is key; (3) focus on meaningful engagement and (4) having foresight for practical issues shaping PPI. DISCUSSION AND IMPLICATIONS: International projects that involve PPI can present many sources of challenges. The findings in this study highlight important considerations for foundational work for incorporating PPI in international projects. Learning from world leaders and those with lived experiences in various regions can be insightful and help share tools and resources. PATIENT OR PUBLIC CONTRIBUTION: PPI was envisioned as a critical part of conducting the mySupport study. The findings from this study informed the development of a PPI strategy and an international Strategic Guiding Council that included family carers of those living with advanced dementia in LTC homes in six countries. This manuscript focused on the perspectives of researchers on their engagement with people with lived experiences of dementia and EOL. The perspectives of persons with lived experiences on engaging in the mySupport research study will be reported in a forthcoming manuscript.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".