A novel method of data analysis for utilization of red blood cell transfusion. Issue 12 (29th April 2013)

• Record Type: Journal Article
• Authors: Frank, Steven M.; Resar, Linda M.S.; Rothschild, James A.; Dackiw, Elizabeth A.; Savage, Will J.; Ness, Paul M.
• Is Part Of: Transfusion. Volume 53:Issue 12(2013)
• Page Start: 3052
• Page End: 3059
• Publication Date: 2013-04-29
• Subjects: Hematology -- Periodicals; Blood -- Transfusion -- Periodicals; Blood Group Antigens -- Periodicals; Blood Preservation -- Periodicals; Blood Transfusion -- Periodicals; 615
• DOI: 10.1111/trf.12227
• Languages: English
• ISSNs: 0041-1132

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="trf12227-sec-0001" sec-type="section"> <title>Background</title> <p>A necessary component of an effective blood management program is the accurate and comprehensive collection and analysis of blood utilization data. This study describes innovative methods for analyzing and presenting data for red blood cell (RBC) utilization that compare hemoglobin (Hb) transfusion triggers and targets to those representing the restrictive transfusion strategy advocated by previous large outcome studies.</p> </sec> <sec id="trf12227-sec-0002" sec-type="section"> <title>Study Design and Methods</title> <p>From one institution, blood utilization data for 134, 456 patients, 23, 559 of whom were transfused with RBCs, were analyzed. Hb triggers and targets for transfused patients were plotted and graphically compared to the trigger and target ranges from previously published randomized clinical trials.</p> </sec> <sec id="trf12227-sec-0003" sec-type="section"> <title>Results</title> <p>Nine hospital services with the highest transfusion rates were selected for analysis. The service with the highest Hb trigger and target was further analyzed by comparing transfusion thresholds for individual providers. Differences among services and among individual providers for mean Hb transfusion triggers and targets were significant (up to 1.5 g/dL, p < 0.0001). The variation between the 10th and 90th percentiles for both trigger and target was also significant (up to 3 g/dL, p < 0.0001). If a restrictive transfusion strategy were implemented, the need for transfusion would be reduced or eliminated in 10% to 50% of patients, depending on the service and the individual provider.</p> </sec> <sec id="trf12227-sec-0004" sec-type="section"> <title>Conclusion</title> <p>By using these methods for analyzing and presenting RBC utilization data, opportunities can be identified for blood conservation, and educational efforts can be directed toward the appropriate individual hospital services and providers.</p> </sec> </abstract>