Zhongguo shuxue zazhi (Mar 2024)

Application of quality control indicator system in blood banks of Shandong

  • Qun LIU,
  • Yuqing WU,
  • Xuemei LI,
  • Zhongsi YANG,
  • Zhe SONG,
  • Zhiquan RONG,
  • Shuhong ZHAO,
  • Lin ZHU,
  • Xiaojuan FAN,
  • Shuli SUN,
  • Wei ZHANG,
  • Jinyu HAN,
  • Xuejing LI,
  • Bo ZHOU,
  • Chenxi YANG,
  • Haiyan HUANG,
  • Guangcai LIU,
  • Kai CHEN,
  • Xianwu AN,
  • Hui ZHANG,
  • Junxia REN,
  • Hui YE,
  • Mingming QIAO,
  • Hua SHEN,
  • Dunzhu GONGJUE,
  • Yunlong ZHUANG

DOI
https://doi.org/10.13303/j.cjbt.issn.1004­549x.2024.03.003
Journal volume & issue
Vol. 37, no. 3
pp. 267 – 274

Abstract

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Objective To establish an effective quality monitoring indicator system for blood quality control in blood banks, in order to analyze the quality control indicators for blood collection and supply, and evaluate blood quality control process, thus promoting continuous improvement and standardizing management of blood quality control in blood banks. Methods A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation services, component preparation, blood testing, blood supply and quality control was established. The Questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process was distributed to 17 blood banks in Shandong, which clarified the definition and calculation formula of indicators. The quality monitoring indicator data from January to December 2022 in each blood bank were collected, and 20 quality control indicators data were analyzed by SPSS25.0 software. Results The average pass rate of key equipment monitoring, environment monitoring, key material monitoring, and blood testing item monitoring of 17 blood banks were 99.47%, 99.51%, 99.95% and 98.99%, respectively. Significant difference was noticed in the pass rate of environment monitoring among blood banks of varied scales(P<0.05), and the Pearson correlation coefficient (r) between the total number of blood quality testing items and the total amount of blood component preparation was 0.645 (P<0.05). The average discarding rates of blood testing or non-blood testing were 1.14% and 3.36% respectively, showing significant difference among blood banks of varied scales (P<0.05). The average discarding rate of lipemic blood was 3.07%, which had a positive correlation with the discarding rate of non testing (r=0.981 3, P<0.05). There was a statistically significant difference in the discarding rate of lipemic blood between blood banks with lipemic blood control measures and those without (P<0.05). The average discarding rate of abnormal color, non-standard volume, blood bag damage, hemolysis, blood protein precipitation and blood clotting were 0.20%, 0.14%, 0.06%, 0.06%, 0.02% and 0.02% respectively, showing statistically significant differences among large, medium and small blood banks(P<0.05).The average discarding rates of expired blood, other factors, confidential unit exclusion and unqualified samples were 0.02%, 0.05%, 0.003% and 0.004%, respectively. The discarding rate of blood with air bubbles was 0.015%, while that of blood with foreign body and unqualified label were 0. Conclusion The quality control indicator system of blood banks in Shandong can monitor weak points in process management, with good applicability, feasibility, and effectiveness. It is conducive to evaluate different blood banks, continuously improve the quality control level of blood collection and supply, promote the homogenization and standardization of blood quality management, and lay the foundation for comprehensive evaluation of blood banks in Shandong.

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