Outcomes in transfusion.

Abstract

Outcomes data in medicine can be limited by subjective methodologic issues such as poor selection of end points and use of nonvalidated systems for quality adjustment. Blood transfusion analyses are further complicated by the fact that transfusion seldom is primary therapy but is usually supportive or adjunctive. Thus, much of the outcome data in transfusion medicine are either unavailable or in one of two areas. The first area is prevention of bad sequelae of various cytopenias or factor deficiencies. The second is decreasing adverse effects of transfusion itself. A different useful area for outcome and root cause approaches in individual institutions is examining preanalytical and postanalytical processes of their own. Examples are sample labeling accuracy, quality and timeliness of blood suppliers, internal delivery processes and times, and product wastage. Use review can be changed to real time from retrospective time. By reducing complaints about service to objective data, realistic change can be made in internal and external processes.