525-P: Effectiveness of a T1D Patient and Health Professional Codesigned Diabetic Ketoacidosis (DKA) Prevention Infographic
Bibliographic record
Abstract
Introduction and Objective: To meet an urgent need, with 68 patients and health professionals we co-designed and refined a DKA education infographic (Figure 1, Infographic Facepage). We aimed to evaluate its effectiveness on changes in patient behaviour, knowledge, beliefs and attitudes. Methods: Through national practice-based recruitment in our project network, we administered two effectiveness outcome questionnaires (‘DKA Behavior’ and DKA Knowledge) before providing the DKA Infographic (‘Day 0’), one day after (‘Day 1’), and one month later (‘Day 30’). Scores were compared by paired t-tests or McNemar’s tests for all subjects from Day 0 to Day 1 (N=20), and explored Day 0 to 30 (n=10). Results: The study recruited a total of 20 participants (11 females, 9 males, mean age 46 (range 31-70), mean A1c 6.8 percent). Mean DKA Behavior summary scores improved from 44.3 to 52.9 (out of 70, p=0.002) on Day 1, and to 53.5 on Day 30 (p=0.021). Mean DKA Knowledge summary scores improved from 5.3 to 7.7 (out of 10, p<0.001) on Day 1, and to 7.9 on Day 30 (p=0.033). 12/20 (60%) reported willingness to test ketones on sick days and/or with ketoacidosis symptoms on Day 0, 20/20 (100%, p=0.013) on Day 1, and 9/10 (90%) on Day 30. Conclusion: A dramatically simplified patient and professional co-designed DKA education infographic in preliminary analysis improves knowledge and behavior for sick day management. Disclosure W. Cheema: None. M. Waniss: None. M.T. Cheema: None. D. Mumford: None. A. Al Mulla: None. N. Verhoeff: None. A. Orszag: None. A. Weisman: None. L. Lovblom: None. N. Ivers: 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".