Implementation of a Diabetes Management Flow Sheet in a Long-Term Care Setting
Bibliographic record
Abstract
OBJECTIVES: Physicians lack clear guidance about adaptation of clinical practice guidelines for elderly institutionalized patients with diabetes. In a large long-term care facility, a diabetes management flow sheet was trialed to determine which clinical parameters were found useful by clinicians in the management of diabetes in that setting. METHODS: Clinical practice guidelines for diabetes management were reviewed with attending physicians. Diabetes management flow sheets were distributed for all patients coded as having diabetes on their most recent minimum data sets. After a period of 14 months, flow sheet completion rates were ascertained and physicians were surveyed regarding the utility of the flow sheet. RESULTS: Initial flow sheet data were completed in full or in part for only 57% of the 121 study subjects; 39% of the subjects died within 14 months. Quarterly follow-up data were completed for 58% of the flow sheets. CONCLUSIONS: The diabetes management flow sheet was not found to be useful by attending physicians as a chronic-disease management tool.
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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 | 0.059 | 0.122 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".