Success Rates in a Diabetes Specialist Nurse-Led Education Programme: Re-setting the Glucostat
Bibliographic record
Abstract
Analysis of National Diabetes Audit data from 2011-2012 of newly diagnosed people with type 1 diabetes mellitus (DM) found low initial success rates in much of the UK at 20% on initial training, while an unusually high success rate of 75% achieving target HbA1C<58 mmol/mol (< 7.5%) was found in Cheshire (England average=40.8%). We present a review of the approach taken by the Cheshire Diabetes team in the 12 months following diagnosis. Between 2012 and 2013, 15 consecutive newly diagnosed people with type 1 DM were followed up for 18 months. All received support and advice by community Diabetes Specialist Nurses (DSNs) and Dieticians covering Central and Eastern Cheshire, UK. Mean±SD age at diagnosis was 23±3 years. The period of contact with the DSN service varied from 7-12 weeks. Baseline HbA1C of 99 mmol/mol [11.2%] (95% CI: 86-111 mmol/mol [10.0-12.3%]) declined by ~50% to 49 mmol/mol [6.6%] (41-57 mmol/mol [5.9-7.4%]; F=16.9, p<0.001) at 6 months and did not change between 6-12 months. Of those newly diagnosed with type 1 DM, 84.6% achieved a target HbA1C<58 mmol/mol (<7.5%) and 61.5% met a target<48 mmol/mol (<6.5%). There was no significant weight change during the study. The key elements of this bio-psycho-social approach by the DSN team included providing psychological support, patient engagement, demonstrating positive regard, gaining trust, identifying health-seeking behaviour, providing key decision-making skills and developing a self-management plan. This resulted in improvements in overall glycaemic control well above the national average without untoward weight gain. The UK National Diabetes Audit (2011-2012) in newly diagnosed type 1 diabetics in Cheshire, UK, showed a success rate at 6 months post-diagnosis of 75% achieving a target HbA1C<58 mmol/mol (<7.5%) compared with the national average of 40.8%. Initially thought to be erroneous, these excellent results were confirmed. The approach taken to achieve them is herein described.
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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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".