Development of clinical indicators for type 2 diabetes
Bibliographic record
Abstract
Background/Objective:Preventable drug-related morbidity in patients with type 2 diabetes is a major concern. Our objective was to develop a set of Canadian clinical indicators of preventable drug-related morbidity (PDRM) and preventable care-related morbidity (PCRM) for type 2 diabetes.Methods:Each study partner (Dalhousie University, Nova Scotia Department of Health, Diabetes Care Program of Nova Scotia, and Sobeys Pharmacy Group) was asked to identify the priorities of medication-related diabetes care from the Canadian Diabetes Association 2003 clinical practice guidelines using the nominal group technique. Based on the priorities identified, a survey was constructed listing the clinical outcome and pattern of care related to a number of possible PDRMs/PCRMs in patients with type 2 diabetes. Using the Delphi technique, an interdisciplinary panel of 10 experts scored each clinical indicator in an attempt to achieve consensus.Results:Education/reinforcement of targets was identified by the nominal group t...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".