Engaging people with lived experience on advisory councils of a national not-for-profit: an integrated knowledge translation case study of Heart & Stroke Mission Critical Area Councils
Bibliographic record
Abstract
BACKGROUND: In 2018, the Heart and Stroke Foundation of Canada transformed its approach to organizational strategic planning and priority-setting. The goal was to generate impact from bench to bedside to community, to improve the health of Canadians. It engaged researchers, clinician scientists, health systems leaders, and community members including people with lived experience (PWLE) on six Mission Critical Area (MCA) councils, each of which was co-chaired by a researcher or clinician scientist and a person with lived experience. Together, council members were tasked with providing advice to Heart & Stroke about the most relevant and impactful priorities of our time. The aim of this research was to explore the value of the MCA councils to Heart & Stroke, and to council members themselves. The research questions focused on understanding the process of managing and participating on the councils, the challenges and outcomes. METHODS: Using an integrated knowledge translation approach, we conducted a case study with developmental evaluation over a 2-year time period (2018-2020). We collected qualitative data from various sources (Heart & Stroke team responsible for managing the councils, council co-chairs, council members, and key informants). We collected documents and analysed them for contextual background. RESULTS: Participants noted that the MCA councils continuously evolved over the 2 years in various ways: from an uncertain direction to a concrete one, better integrating the voice of PWLE, and increased cohesiveness within and across MCA councils. This evolution was achieved in parallel with successes and challenges at three levels: the MCA councils and its members, Heart & Stroke, and Canadians. The MCA councils were disbanded in 2020, yet learnings, developments, initiatives and established partnerships remain as their legacy. CONCLUSIONS: Heart & Stroke's intended objectives for the MCA councils, to promote engagement and dialogue among community members including PWLE, clinician scientists, and researchers, and to provide advice into Heart & Stroke's strategic renewal process, were achieved. This collaborative structure and process for PWLE engagement within a community of multidisciplinary clinician scientists and researchers is possible yet requires flexibility, commitment to stakeholder relationship management, and considerable resources. These findings may be helpful for other not-for-profit and funding organizations interested in engaging the public and other stakeholders into their organizational activities.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | Metaresearch Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.035 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".