Structuring Diabetes Mellitus Care in Long-Term Nursing Home Residents.
Bibliographic record
Abstract
Nursing home residents with diabetes have more complex care needs with higher levels of comorbidity, disability and cognitive impairment. We compared current practice in the 44 long-term residents in Peamount hospital with the standards recommended in the Diabetes UK "Good Clinical Practice Guidelines for Care Home Residents with Diabetes". Of 44 residents, 11 were diabetic. Residents did not have specific diabetes care plans. There were some elements of good practice with a low incidence of hypoglycaemia and in-house access to dietetics and chiropody. However, diabetes care was delivered on an ad-hoc basis without individualised care plans, documented glycaemic targets, or scheduled monitoring for complications and no formal screening for diabetes on admission. National and local policy to guide management of diabetes mellitus should be developed. There should be individualised diabetes care plans, clear policies for hypoglycaemia, hyperglycaemia and long-term diabetes complications, screening on admission and increased uptake of the national retinal screening and foot care programmes.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".