Bringing the Benefits of Anticoagulation Management Services to the Community
Bibliographic record
Abstract
Background: While warfarin is efficacious for the prevention of thromboembolic disorders, many patients are undertreated. To optimize therapy, anticoagulation management services (AMSs) deliver a coordinated, focused approach to this care; however, AMSs are limited in their ability to impact patients outside of tertiary care settings. Objective: To describe the methods used to develop community-based AMSs across Alberta. Methods: Through a three-staged approach, this project created community-based, pharmacist-managed AMSs for patients requiring warfarin therapy. Stage I was the initiation of a central or “core” AMS, located at a quaternary referral centre. Starting with the core enabled us to develop and test the program and create an environment to serve as a training and support centre for future aspects of the program. Next, an educational program was developed and implemented (Stage II) for a diverse group of pharmacists to establish and manage a community-based or “satellite” AMS (Stage III) at their practice site. All three stages are undergoing detailed evaluation, capturing project-specific (patient outcome) data as well as system-level (integration within the health care infrastructure) data. Conclusion: By offering a focused, coordinated, and consistent approach to warfarin management, with ongoing collaboration with other providers, the ultimate goal of this program is to optimize patient outcomes. Utilizing pharmacists as central players within a collaborative setting will enhance the use of our current infrastructure. This program may serve as a model for other health regions and other chronic diseases.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".