Engaging First Nation and Inuit communities in asthma management and control: Assessing cultural appropriateness of educational resources
Bibliographic record
Abstract
INTRODUCTION: Asthma is a growing concern in First Nations and Inuit communities. As with many health indicators and outcomes, Aboriginal peoples living in remote areas experience greater disparities in respiratory health compared with non-Aboriginal Canadians. Therefore, it is critically important to take into account their unique needs when developing asthma educational materials and resources. The purpose of this study is to assess the cultural relevance of existing asthma education materials for First Nations and Inuit peoples. Five First Nations and Inuit communities from across Canada participated in the project. METHODS: A combination of quantitative evaluations (eg surveys) and qualitative approaches (eg open discussion, live chats) were used to assess printed and web-based asthma education materials. Participants represented First Nations and Inuit communities from across Canada and were selected on the basis of age and role: 6 to 12 years old (children), 12 and over (youth), parents and grandparents, community leaders and teachers, and community advisory group members. RESULTS: In general, the results showed that although participants of all age categories liked the selection of asthma educational materials and resources, they identified pictures and images related to First Nations and Inuit people living and coping with asthma as ways of improving cultural relevance. This reinforces findings that tailoring materials to include Aboriginal languages, ceremonies and traditions would enhance their uptake. Our findings also demonstrate that visually based content in both printed and virtual form were the preferred style of learning of all participants, except young children who preferred to learn through play and interactive activities. CONCLUSIONS: Asthma is a growing concern in First Nations and Inuit communities. Given this concern, it is essential to understand cultural needs and preferences when developing asthma education materials and resources. The findings from this research emphasize the need to adapt existing asthma educational materials to better suit First Nations and Inuit cultures and the importance of directly engaging community members in the process.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".