Bibliographic record
Abstract
For over 60 years, warfarin has been the treatment of choice in the prevention of strokes and other thromboembolic events. In recent years, a new class of Novel Oral Anticoagulant (NOAC) medication has become available, leaving clinicians and health system payors to question whether warfarin continues to have a place in therapy. This article argues that it may not be the medication that should be in question but instead the systems in place to manage anticoagulation for the patients who need it. Usual Care (UC) for warfarin management has traditionally required multiple healthcare visits, blood collection visits, and laboratory analysis of International Normalized Ratio (INR) with results to then later be relayed to the patient along with dosage adjustments. The article reviews a new model of care, Community Pharmacist-led Anticoagulation Management Service (CPAMS), in which patients receive a point-of-care INR test along with a pharmacist assessment at a pharmacy and results within minutes. Pharmacists then prescribe dosage adjustments immediately, counsel patients, and provide supporting adherence tools such as a colourful picture-based dosing calendar, created by the decision support tool, INR Online. The Nova Scotia CPAMS Demonstration Project shows that this model will result in efficiencies for healthcare providers and optimal anticoagulation with improved time in therapeutic range outcomes for patients. In addition, the CPAMS Costing Study finds the model to be a cost-effective solution for health systems when compared to UC for warfarin as well as NOAC patients.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".