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Blood transfusion costs by diagnosis-related groups in 60 university hospitals in 1995
L C Jefferies1, B S Sachais, D S Young
1Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA. jefferie@mail.med.upenn.edu
Insights
Analyzing blood transfusion costs across Diagnosis-Related Groups (DRGs) identified high-cost areas. Targeting these DRGs can significantly reduce overall blood transfusion expenses.
Area of Science:
- Healthcare Economics
- Transfusion Medicine
- Hospital Administration
Background:
- Healthcare systems face pressure to reduce blood transfusion costs.
- Analyzing costs by Diagnosis-Related Groups (DRGs) is a key strategy.
- Identifying high-cost DRGs enables targeted cost-reduction efforts.
Purpose of the Study:
- To analyze blood transfusion costs across Diagnosis-Related Groups (DRGs).
- To identify specific DRGs with high transfusion expenditures.
- To provide a basis for cost-saving interventions in transfusion services.
Main Methods:
- Analysis of 486 Diagnosis-Related Groups (DRGs) from 60 university hospitals in 1995.
- Utilized cost-to-charge ratios to determine blood transfusion-related costs.
- Rank-ordered DRGs by transfusion costs for interinstitutional comparison.
Main Results:
- Transfusion costs were <1% of total costs for most DRGs.
- Millions were spent on transfusions; high-cost DRGs ranged from 5.0-8.6% of total costs.
- Transfusion costs showed higher variability in lower-cost DRGs.
Conclusions:
- Hospital systems can identify outlier DRGs for transfusion cost analysis.
- Targeting high-cost DRGs allows for focused evaluation of clinical practices.
- Interventions in DRGs like bone marrow transplant and liver transplant can significantly impact overall transfusion costs.
Background:
Transfusion services are frequently challenged to initiate efforts to reduce blood transfusion costs. One approach is to analyze blood transfusion costs for individual medical and surgical Diagnosis-Related Groups (DRGs). Rank ordering of DRGs by transfusion costs and interinstitutional comparisons of these costs may lead to the selection of DRGs for further analysis of the process of blood transfusion.
Study Design And Methods:
Common DRGs (n = 486) that were related to discharges in 1995 were analyzed from 60 university hospital members of the University HealthSystems Consortium (UHC). Cost data were tabulated by using cost-to-charge ratios reflecting all aspects of blood transfusion-related costs of participating institutions.
Results:
Of these 486 DRGs, 471 had identifiable mean blood costs, and 34 had median blood costs, mostly for surgical conditions. Transfusion costs represented a small proportion (< or = 1%) of total hospitalization costs for most DRGS: Nonetheless, millions of dollars were spent on blood transfusion, and for the most expensive DRGs, the costs ranged from 5.0 to 8.6 percent of total hospitalization costs. Transfusion costs are more variable for the DRGs with the lowest transfusion costs than for those with the highest transfusion costs.
Conclusion:
Members of the UHC may utilize such analyses to identify surgical or medical diagnoses with transfusion costs at variance with the group norm. These DRGs could then be targeted for further evaluation of components contributing to high costs, for possible alterations in physician or clinical laboratory practices. Considering those conditions with the highest cumulative transfusion costs (e.g., BMT, liver transplant, acute leukemia, and cardiothoracic procedures), changes in transfusion practices that affect these particular patient categories may have a significant impact on global blood transfusion costs.
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