Evaluating the inventory impact of utilizing low titer platelets in regional hospitals
Bibliographic record
Abstract
BACKGROUND: As a result of constrained supply, it is sometimes necessary to provide patients with ABO-mismatched platelets. Such practices increase the risk of acute hemolytic transfusion reaction (AHTR). Providing patients with platelets suspended in O plasma having low-titer Anti-A and Anti-B antibodies (LtABO) could reduce the incidence of AHTR. However, natural scarcity limits the number of such units that can be produced. In this paper we present a study to evaluate strategies for deploying LtABO at regional hospitals in Canada. STUDY DESIGN AND METHODS: Regional hospitals often experience demand for platelets on an irregular basis. They are, however, required to stock some number of platelets (typically one A-unit and one O-unit) for emergencies; outdates are common, with discard rates sometimes >>50%. A simulation study was completed to determine the impact of replacing a (1A, 1O) inventory with 2 or 3 units of LtABO at regional hospitals. RESULTS: A significant decreases in wastage and shortage can be expected by replacing a (1A, 1O) inventory policy with 2 units of LtABO. In tested cases, a 2-unit LtABO dominated a (1A, 1O) policy, resulting in statistically fewer outdates and instances of shortage. Holding 3 units of LtABO, increases product availability, but results in an increase in outdates when compared to a (1A, 1O) policy. CONCLUSION: Providing LtABO platelets to smaller, regional hospitals will lower wastage rates and improve patient access to care, when compared to existing (1A, 1O) inventory policies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".