Engaging Ethnically Diverse Populations in Self-Management Interventions for Chronic Respiratory Diseases: A Narrative Review
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
The burden of chronic respiratory diseases continues to rise globally. Comprehensive management relies on a combination of treatment approaches including patient self-management, where health professionals are required to educate and support patients to take control of their disease. When self-management interventions are suitably directed and effectively executed, outcomes point to increases in quality of life and a reduction in unscheduled or emergency consultations for people living with chronic respiratory disease. However, despite these positive gains, the literature reveals poor trends of engagement with this management approach and reduced access to appropriately designed programs for people from ethnically diverse populations, including migrants and refugees. The purpose of this review article is to discuss factors influencing engagement in chronic respiratory disease self-management among people from ethnically diverse backgrounds and to propose strategies to improve the participation of this population in these interventions in the future.
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.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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