Exploring the perspectives of community members as research partners in rural and remote areas
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
BACKGROUND: Community engagement in research has the potential to support the development of meaningful health promotion interventions to address health inequities. People living in rural and remote areas face increased barriers to participation in health research and may be unjustly excluded from participation. It is necessary to understand the process of patient and public engagement from the perspective of community members to support partnered research in underserved areas. The aim of this project was to increase understanding on how to include community members from rural and remote areas as partners on research teams. METHODS: Using purposive sampling, we completed semi-structured interviews with a representative sample of 12 community members in rural and remote areas of northern British Columbia, Canada. Interviews were audio recorded and transcribed verbatim. Following an integrated knowledge translation approach, an inductive thematic analysis was completed to incorporate researcher and knowledge user perspectives. RESULTS: The factors important to community members for becoming involved in research include: 1) relevance; 2) communication; and 3) empowering participation. The analysis suggests projects must be relevant to both communities and individuals. Most participants stated that they would not be interested in becoming partners on research projects that did not have a direct benefit or value for their communities. Participants expressed the need for clear expectations and clarification of preferred communication mechanisms. Communication must be regular, appropriate in length and content, and written in a language that is accessible. It is essential to ensure that community members are recognized as subject matter experts, to provide appropriate training on the research process, and to use research outcomes to support decision making. CONCLUSIONS: To engage research partners in rural and remote communities, research questions and outcomes should be co-produced with community members. In-person relationships can help establish trust and bidirectional communication mechanisms are prudent throughout the research process, including the appropriate sharing of research findings. Although this project did not include community members as research team members or in the co-production of this research article, we present guidelines for research teams interested in adding a patient or public perspective to their integrated knowledge translation teams.
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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 | Metaresearch Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | 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 | 0.044 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| 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