The Development of a Conceptual Framework for Providing Tailored Diabetes Care for Individuals Experiencing Homelessness: A Qualitative Study
Bibliographic record
Abstract
Homelessness results in barriers to effective diabetes self-management. Programs targeting individuals facing homelessness have refined strategies to address these barriers. We sought to develop a framework to characterize these strategies that could help multidisciplinary providers to better support these individuals. Semi-structured interviews were conducted with a purposive sample of health and social care providers working in diabetes or homelessness in five Canadian cities (n=96). Interview transcripts were analyzed through qualitative thematic analysis. Providers described three groups of approaches that enabled care for this population. Person-centered provider behaviours: This included tailoring care plans to accommodate individuals' situational constraints. Lower-barrier organizational structure: Providers developed specialized organizational processes to increase accessibility. Bridging to larger care systems: Strategies included providing access to support workers. Across diverse program structures, similar approaches are used to enhance diabetes care for individuals who are experiencing homelessness, highlighting tangible opportunities for mainstream services to better engage with this population.
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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 | 0.039 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".