BUILDING BRIDGES FOR PAIN COMMUNICATION AND MANAGEMENT: COMMUNITY-LED INSIGHTS FROM CREE AND DENE/MÉTIS COMMUNITIES IN NORTHERN SASKATCHEWAN
Bibliographic record
Abstract
Background Indigenous Peoples in Canada experience a higher prevalence of chronic musculoskeletal (MSK) pain compared to non-Indigenous populations. However, effective communication and management of pain within Indigenous communities remain largely unexplored. This study aimed to collaborate with the Cree community of Pelican Narrows and the Dene/Métis community of La Loche, both located in northern Saskatchewan, to identify elements that would better promote culturally appropriate ways of pain communication and pain management. Methods This thesis encompasses two studies. The first study focuses on the collaborative development of the Community Directed Pain Scale in partnership with a Cree Elder and a Knowledge Keeper in Pelican Narrows. The pain assessment tool was piloted and followed by semi-structured interviews to assess the scale's concurrent validity and gather recommendations for improving pain communication. The second study involves a comprehensive needs assessment conducted in partnership with the community of La Loche to identify the strengths and needs of the community in terms of pain communication and pain management. Results: The Community Directed Pain Scale yielded comparable outcomes as the Faces Pain Scale-Revised, a well-established pain assessment tool. The needs assessments in La Loche revealed the impact the patient-provider relationship has on the effectiveness of pain communication. Recommendations were made from the members of both communities on ways to enhance rapport and improve pain communication. Conclusions This research emphasized the significance of creating a safe environment for Indigenous community members to share their chronic MSK pain journeys. Through open and respectful conversations with community members in Pelican Narrows and La Loche, foundational elements such as patient-centered care, the provision of culturally responsive approaches, and the patient-provider relationship were identified as key to effective pain communication and management.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".