ABSTRACT
【Objective】 To investigate the resource allocation status of blood testing laboratories in 14 blood stations in Gansu Province, explore the impact of differences in basic conditions on the comprehensive testing ability of laboratories, so as to promote the homogenization and standardization of blood screening capacity in blood stations in Gansu and improve blood safety and effectivenes. 【Methods】 An evaluation index system of laboratory resource allocation was constructed and a question-naire was designed. The data of human resources, infrastructure and key equipment of 14 blood stations were collected. The entropy weight -TOPSIS method was used to evaluate and rank the resource allocation of 14 blood stations. 【Results】 In the comprehensive evaluation of blood testing laboratory resource allocation in 14 blood stations in Gansu, the top three were laboratories A, B and I, and the last three were laboratories G, M and J. On the whole, the main issue was unreasonable structure of human resources: most laboratories had unreasonable age structure; except for Laboratory A, there was no personnel with bachelor's degree or above in laboratories; most laboratories had not established a team with intermediate professional titles. In terms of infrastructure, the size of seven laboratories could not meet the needs of modern laboratory testing, and all eight blood stations had no spare nucleic acid laboratories nor a mutual spare laboratory with other blood stations As for the key equipment, 5 laboratories had no automatic blood grouping diagnostic instrument, 5 laboratories only had one set of enzyme immunoassay detection system, 3 laboratories had no spare equipment for the key equipment, which means if the equipment failure could not be repaired in time, the release of results would be affected. 【Conclusion】 There were significant differences in human resources, infrastructure and key equipment of blood testing laboratories in 14 blood stations in Gansu, which had a great impact on laboratory testing capacity and subsequent development. It is suggested that governments at all levels and health administrative departments optimize the input of laboratory resource allocation according to the blood collection volume of blood stations to gradually narrow the differences in resource distribution between different regions, improve the degree of laboratory automation and optimize the personnel structure, so as to build high-quality and efficient blood testing laboratories and ensure the safety of clinical blood use.
ABSTRACT
【Objective】 To analyze testing ability of blood testing laboratories in domestic blood establishments, and to comprehensively understand the resource allocation, workload and unqualified blood samples. 【Methods】 All blood testing laboratories reported the quarterly quality indicator data via their EQA system on the website of National Center for Clinical Laboratories (https: //srv.clinet.cn/qblood/report/add1.aspx). We collected related quality indicators throughout 2020, including resource indicators, number of sample detection, and number (rate) of unqualified samples. All the data were integrated by EQA system. 【Results】 1) Throughout 2020, 324 blood testing laboratories reported that 13 529 778 donations were tested by immunoassays and 13 892 927 donations were tested by nucleic acid testing(NAT). Among them, 253 laboratories reported the data correctly throughout four quarters, and they tested 12 015 407 donations. 2) The number of equipment varied greatly among different laboratories, and a certain equipment was often overloaded in some laboratories. 3) The proportion of domestic ELISA reagents was 100% (322/322), while the proportion of imported NAT reagents was 75.33% (220/300). 4) The positive rate of HBsAg was closely related to geographical locations, as Sichuan (0.86%, 5 895/689 445), Guangdong (0.57%, 5 147/895 929), and Guangxi (0.53%, 3 021/573 216) provinces demonstrated higher positive rates than that of other provincial regions. 【Conclusions】 There are many blood stations across China, with great differences in scale and equipment. There are obvious differences in the positive rates of infectious indicators in different regions. Therefore, the laboratory should make horizontal comparison with the laboratories in the same region, to improve the detection quality of the laboratory in time and effectively.
