Transfusion practice in Helsinki University Central Hospital: an analysis of diagnosis-related groups (DRG).
Transfusion data combined with data automatically recorded in hospital databases provides an outstanding tool for blood utilization reporting. When the reporting is performed with an online analytical processing (OLAP) tool, real time reporting can be provided to blood subscribers. When this data is combined with a common patient classification system, Diagnosis-Related Groups (DRG), it is possible to produce statistical results, that are similar in different institutions and may provide a means for international transfusion bench-marking and cost comparison. We use a DRG classification to describe the transfusion practice in Helsinki University Central Hospital. The key indicators include the percentage of transfused patients, the number of transfused units and costs in different DRG groups, as well as transfusion rates per DRG weighted treatment episodes. Ninety-three per cent of all transfusions could be classified into different DRGs. The largest blood-using DRG group was acute adult leukaemia (DRG 473), which accounted for 10.4% of all transfusion costs. The 13 largest blood consuming DRGs accounted for half the total costs in 1998. Currently, there is a lack of an internationally accepted standardized way to report institutional or national transfusion practices. DRG-based transfusion reporting might serve as a means for transfusion benchmarking and thus aid studies of variations in transfusion practice.
Syrjälä
M T
MT
Department of Laboratory Administration, Helsinki University Central Hospital, Haarmaninkatu 4, PO Box 340, 00029 HUS, Helsinki, Finland. martti.syrjala@hus.fi
Kytöniemi
I
I
Mikkolainen
K
K
Ranimo
J
J
Lauharanta
J
J
D001803:Blood Transfusion / Q000191:economics / Q000706:statistics & numerical data*; D016208:Databases, Factual; D003953:Diagnosis-Related Groups / Q000191:economics / Q000706:statistics & numerical data; D001330:Electronic Data Processing; D005387:Finland; D006785:Hospitals, University; D006801:Humans