An Integrated Knowledge Translation Approach to Develop a Shared Decision-making Strategy for Use by Inuit in Cancer Care: A Qualitative Study
Bibliographic record
Abstract
Background: In relation to the general Canadian population, Inuit face increased cancer risks and barriers to health services use. In shared decision-making (sdm), health care providers and patients make health care decisions together. Enhanced participation in cancer care decisions is a need for Inuit. Integrated knowledge translation (kt) supports the development of research evidence that is likely to be patient-centred and applied in practice. Objective: Using an integrated kt approach, we set out to promote the use of sdm by Inuit in cancer care. Methods: An integrated kt study involving researchers with a Steering Committee of cancer care system partners who support Inuit in cancer care ("the team") consisted of 2 theory-driven phases:■ using consensus-building methods to tailor a previously developed sdm strategy and developing training in the sdm strategy; and■ training community support workers (csws) in the sdm strategy and testing the sdm strategy with community members. Results: The team developed a sdm strategy that included a workshop and a booklet with 6 questions for use by csws with patients. The sdm strategy (training and booklet) was finalized based on feedback from 5 urban-based Inuit csws who were recruited and trained in using the strategy. Trained csws were matched with 8 community members, and use of the sdm strategy was assessed during interviews, reported as 6 themes. Participants found the sdm strategy to be useful and feasible for use. Conclusions: An integrated kt approach of structured research processes with partners developed a sdm strategy for use by Inuit in cancer care. Further work is needed to test the sdm strategy.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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, 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".