Developing a tracking system for coagulation factor concentrates in southern Ontario
Bibliographic record
Abstract
BACKGROUND: In response to the transfusion- transmitted AIDS epidemic, Canadian authorities recommended the development of tracking systems and improved reporting of adverse events. This study describes the development of a verifiable and comprehensive regional tracking system for coagulation factor concentrates. STUDY DESIGN AND METHODS: The Hamilton- Niagara Regional Hemophilia Program received distribution and utilization data from Canadian Blood Services, 26 regional hospitals, and 70 individuals with bleeding disorders on home-based therapy. Purpose-specific software, the Canadian Hemophilia Assessment and Resource Management System (CHARMS), was used to store, monitor, analyze, and validate data. RESULTS: During a 1-year period (2001), all factor concentrates distributed in this region were accounted for. A higher proportion of FVIII and FIX concentrates (88 vs. 12%) was infused at home than in hospitals, and a higher proportion (63 vs. 28%) was used to prevent than to treat bleeds. During a period of shortage, a 5-percent reduction in utilization of both FVIII and FIX concentrates was documented. One recall was managed swiftly and efficiently. Two patients reported allergic skin reactions. CONCLUSION: A verifiable tracking system has been developed that can provide ongoing data for both clinical and administrative purposes. Data collection from patients needs to be made more efficient and real-time recording is an important future objective. Such a system can be instituted locally for less than 1.5 percent of the cost of the factor concentrate used.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".