Alleviating blood shortages in a resource-constrained environment.
BACKGROUND
The nation devotes considerable resources to the collection, processing, and distribution of blood products. Nonetheless, shortages of virtually every blood component persist. Economic theory suggests that the national blood supply can be increased either by increasing the level of resources used in the collection and production of blood components or by utilizing existing resources more efficiently.


METHODS
This study uses data envelopment analysis to analyze the efficiency of 70 blood centers to determine the extent to which operational efficiency can be improved, the increase in the nation's blood supply that would result, and management strategies that would lead to such improvements. Data were collected from the AABB 2002-2003 Directory of Community Blood Centers.


RESULTS
The study found that roughly half of the 70 blood centers studied are efficient. The remaining blood centers collectively can both increase outputs and decrease some inputs. If the inefficient blood centers were to eliminate half of their inefficiency, then systemwide output of platelets would be increased by 17 percent, cryoprecipitate by 12 percent, plasma by 10 percent, and red blood cells by 7 percent. Inefficient blood centers have little opportunity to reduce full-time employees or reduce expenditures; however, they can decrease their use of part-time employees by 10 percent and volunteers by 9 percent.


CONCLUSIONS
The results indicate that efficiency improvements would help to alleviate the nation's persistent blood shortages. These findings can be used by blood center managers to identify management interventions that can improve operational efficiency, resulting in greater output with existing levels of resources.
School of Health Technology and Management, Stony Brook University, Stony Brook, New York 11794-8200, USA. Christine.Pitocco@StonyBrook.edu
Christine
C
Pitocco
Thomas R
TR
Sexton
D001771:Blood Banks / Q000191:economics* / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D017598:Efficiency, Organizational; D017707:Erythrocyte Transfusion / Q000191:economics / Q000706:statistics & numerical data; D006801:Humans; D017713:Platelet Transfusion / Q000191:economics / Q000706:statistics & numerical data; D014481:United States