The societal unit cost of allogenic red blood cells and red blood cell transfusion in Canada
Bibliographic record
Abstract
BACKGROUND: There is a dearth of information about the cost of allogenic red blood cells (RBCs) and RBC transfusion in Canada in the aftermath of the Canadian blood system reorganization and the introduction of various safety measures. The unit cost of allogenic RBCs and RBC transfusion in Canada in 1994 was estimated at 152.17 US dollars. The objective of this study was to determine the unit cost of allogenic RBC transfusion in Canada from a societal perspective. STUDY DESIGN AND METHODS: A cost-structure analysis using the cost information from 2001 through 2002 was used. Costs of blood collection, production, distribution, delivery (hospital transfusion service processing and patient administration), transfusion reaction management, and opportunity cost of donor's time were included in the analysis. Canadian Blood Services and Héma-Québec supplied the data for collection, production, and distribution stages. Delivery and transfusion reaction costs were collected from eight hospitals across six Canadian provinces. In-patient costs were assessed for the intensive care unit, emergency, general medicine ward, and operating room. RESULTS: The aggregate mean societal unit cost of RBCs transfused on an inpatient basis in 2002 was 264.81 US dollars (95% confidence interval [CI], 256.29 dollars-275.65 dollars). The mean cost of blood collection, production, and distribution was 202.74 US dollars (95% CI, 199.63 dollars-204.31 dollars), the mean opportunity cost of donor time was 18.21 US dollars (95% CI, 17.11 dollars-21.63 dollars), the mean cost of hospital transfusion service processing was 16.65 US dollars (95% CI, 13.50 dollars-19.79 dollars), of RBC transfusion was 26.92 US dollars (95% CI, 25.33 dollars-28.52 dollars), and of transfusion reaction management was 0.29 US dollars(95% CI, 0.22 dollars-0.36 dollars). There were substantial variations in hospital transfusion service processing and RBC transfusion costs across hospitals. CONCLUSION: The societal unit cost of RBC transfusion has doubled since 1994 to 1995. Further increases in unit costs would be expected as additional safety measures are introduced. This will have important financial implications for treating patient populations that require a high level of RBC transfusions.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".