Engaging patient and community stakeholders in the optimization of the Compassionate And Loving Mindset towards heart health risk (CALM Hearts) physical activity intervention: a description of initial work and protocol for future engagement activities
Bibliographic record
Abstract
BACKGROUND: Participatory research approaches systematically integrate the perspectives of individuals, organizations, or communities that have a direct interest in a study's processes and outcomes (i.e., stakeholders) in research design and implementation. This supports interventions that are developed "by, not for" end-users, thereby increasing acceptability, uptake, and adherence. However, participatory approaches are relatively under-utilized in intervention development and behavioral change intervention research, in part, due to inadequate reporting of methodology. Therefore, to improve transparency in planning and reporting, we (a) describe how we engaged patients and community organizations (i.e., patient and community partners) in grant development for a self-compassion and physical activity behaviour change intervention for women with cardiovascular risk factors and (b) present a protocol for engaging patient and community partners in the optimization and implementation of the intervention moving forward. METHODS: Our participatory research approach was guided by the Strategy for Patient-Oriented Research patient engagement framework and our prior stakeholder engagement work. Four patients and three community partners were engaged at the level of Involve, meaning their perspectives informed directions, processes, and decisions at major project milestones. Specifically, patient and community partners engaged in three separate meetings during grant development wherein they: (a) established a Terms of Reference to guide engagement activities and expectations; (b) shaped the grant through guided conversations about research priorities, outcomes, and intervention delivery components that could be targeted for optimization and (c) co-developed a protocol that specifies how relationships will be initiated with future patient partners, proposes engagement activities across the research cycle, and includes plans for formal evaluation of engagement processes. CONCLUSIONS: Participatory research approaches provide valuable insights into the development of behavioural interventions, especially when stakeholders can partner early and have a meaningful impact. By detailing our engagement activities to date, we hope to model an approach to engaging stakeholders in behavioral intervention development and demonstrate the impacts of doing so.
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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 | 0.025 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.006 |
| 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".