526-P: A Patient and Health Care Professional Codesigned Diabetic Ketoacidosis Educational Infographic for Type 1 Diabetes
Bibliographic record
Abstract
Introduction and Objective: Diabetic Ketoacidosis (DKA) prevention protocols are underused and difficult to understand by patients. We aimed to co-create with people living with T1D, caregivers, and healthcare professionals a core DKA education infographic. Methods: Focus groups were recruited through purposive sampling. In a user-centered design process involving oversight by a User Advisory Panel, participants were shown iterative versions of the infographic in semi-structured interviews. Thematic analysis of coded transcripts informed iterative refinements until convergence was achieved. Results: Following focus groups that defined barriers and behaviours for DKA prevention, a total of 20 diverse participants and 10 members of a User Advisory Panel were involved in seven iterative design sessions. A final draft of the infographic (Figure 1, Faceplate) emerged that incorporated key actions and barriers. Findings emphasized the importance of simplification compared to existing resources; use of clear and accessible language defining the necessary actions. Main design themes were flow of the infographic, legibility, and use of visuals that enhance understanding. Conclusion: A dramatically simplified patient co-created DKA education infographic that addressed known barriers and behaviours is ready for evaluation of DKA prevention knowledge in an intervention study. Disclosure W. Cheema: None. D. Mumford: None. N. Ivers: None. M.T. Cheema: None. N. Verhoeff: None. A. Al Mulla: None. A. Orszag: None. L. Lovblom: None. A. Weisman: None. B.A. Perkins: Other Relationship; Abbott, Novo Nordisk, Sanofi. Advisory Panel; Abbott, Insulet Corporation, Sanofi, Novo Nordisk, Nephris, Vertex Pharmaceuticals Incorporated. Research Support; Novo Nordisk. Funding Diabetes Canada Operating Grant (OG-3-21-5572-BP)
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.057 | 0.007 |
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".