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Three years’ experience of quality monitoring program on pre‐analytical errors in china

BACKGROUND: Various errors in the procedure of specimen collection have been reported as the primary causes of pre‐analytical errors. The aim of this study was to monitor and assess the reasons and frequencies of rejected samples in China. METHODS: A pre‐analytical external quality assessment (EQA)...

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Detalles Bibliográficos
Autores principales: Kang, Fengfeng, Li, Weixing, Xia, Xiaohua, Shan, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958002/
https://www.ncbi.nlm.nih.gov/pubmed/33458892
http://dx.doi.org/10.1002/jcla.23699
Descripción
Sumario:BACKGROUND: Various errors in the procedure of specimen collection have been reported as the primary causes of pre‐analytical errors. The aim of this study was to monitor and assess the reasons and frequencies of rejected samples in China. METHODS: A pre‐analytical external quality assessment (EQA) scheme involving six quality indicators (QIs) was conducted from 2017 to 2019. Rejection rate was calculated for each QI. The difference of the rejection rates over the time was checked by Chi‐square test. Furthermore, the 25th, 50th, and 75th percentiles of the results from total laboratories each year were calculated as optimum, desirable, and minimum level of performance specifications. RESULTS: In total, 423 laboratories submitted data continuously for six EQA rounds. The overall rejection rates were 0.2042%, 0.1709%, 0.1942%, 0.1689%, 0.1593%, and 0.1491%, respectively. The most common error was sample hemolysed (0.0514%–0.0635%), and the least one was sample not received (0.0008%–0.0014%). A significant reduction in percentages was observed for all QIs. For biochemistry and immunology, hemolysis accounted for more than half of the rejection causes, while for hematology, the primary cause shifted from incorrect fill level to sample clotted. The quality specifications had improved over time, except for the optimum level. CONCLUSION: The significant reduction in error rates on sample rejection we observed suggested that laboratories should pay more attention to the standardized specimen collection. We also provide a benchmark for QIs performance specification to help laboratories increase awareness about the critical aspects in the need of improvement actions.