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고찬규 ( Chan Kyu Ko ),김민경 ( Min Kyung Kim ),양원모 ( Won Mo Yang ),정문영 ( Mun Yeong Jeong ),황형태 ( Hyung Tae Hwang ),이성임 ( Sung Im Lee ),강주형 ( Ju Hyeong Kang ),오진아 ( Jin A Oh ),최영실 ( Young Sill Choi ) 한국보건정보통계학회(구 한국보건통계학회) 2015 보건정보통계학회지 Vol.40 No.1
Objectives: The purpose of this report is to monitor the status of blood management based on blood supply, usage, and wastage data provided by Korea Blood Inventory Monitoring System (KBIMs). Methods: KBIMs is the ongoing national surveillance system for blood management. The current report includes data from 25 sentinel hospitals during 2009-2012 years. In this sample, the data collected in each hospital were summed and defined on the weekly basis for the use of the control chart. Results: Since the amount of blood usage covers over 99 percent of the supply, they appear to have similar control chart patterns. Blood type A, B and O show obvious shifts in mean supply and usage which occur beyond the center line in 2012. Blood wastage is out of control in 2010 and 2012. Interestingly, this does not occur in the winter season and the pattern of blood wastage has significant seasonal difference (p=0.001). Conclusions: Findings suggest that the blood usage has an increasing tendency in all blood types except AB in 2012, while blood wastage has seasonal variations. Even though such state may not stay the same, this analysis provides enough warrants for further study.
황형태 ( Hyungtae Hwang ),이성임 ( Sungim Lee ),고찬규 ( Chan Kyu Ko ),나경인 ( Kyoung In Na ) 한국보건정보통계학회 2015 보건정보통계학회지 Vol.40 No.3
Objectives: Blood inventory level is required to predict blood shortage at a national level. The purpose of this report is to monitor the blood inventory level based on the data provided by the Korea blood inventory monitoring system (KBIMs), the ongoing national surveillance system for blood management. Methods: The current report includes data from 25 sentinel hospitals that participate in the KBIMs. The blood inventory ratio for 25 sentinel hospitals is proposed and the individual control chart is used to detect the changes in the mean of the inventory ratio. Results: Blood type A has an inventory ratio between 5.2 and 4.4 days, the lowest among all blood types, during 2009-2012. In addition, the annual mean value of the inventory ratios of both blood type A and O decreased consistently every year. Control chart shows that all blood types are out-of-control status since the mid of 2010. Conclusions: Simply by setting and modifying the control chart, we can develop a reasonable control chart which reflects the current status.