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Analysis of Factors Influencing the Generation of Unqualified Clinical Samples and Measures to Prevent this Generation

BACKGROUND: We investigated the influence of pre-analytical factors on the results of clinical tests and thereby analyzed approaches to improve quality management in clinical laboratories. METHODS: Unqualified clinical samples were selected from all the samples received at our clinical laboratory. T...

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Autores principales: Lai, Xiaofei, Yang, Ping, Zhang, Yuhong, Cao, Ju, Zhang, Liping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Laboratory Medicine 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3339303/
https://www.ncbi.nlm.nih.gov/pubmed/22563558
http://dx.doi.org/10.3343/alm.2012.32.3.216
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author Lai, Xiaofei
Yang, Ping
Zhang, Yuhong
Cao, Ju
Zhang, Liping
author_facet Lai, Xiaofei
Yang, Ping
Zhang, Yuhong
Cao, Ju
Zhang, Liping
author_sort Lai, Xiaofei
collection PubMed
description BACKGROUND: We investigated the influence of pre-analytical factors on the results of clinical tests and thereby analyzed approaches to improve quality management in clinical laboratories. METHODS: Unqualified clinical samples were selected from all the samples received at our clinical laboratory. The data were collected for 2009 and 2010, i.e., the years before and after the establishment of the laboratory quality management system. The rate and causes of generation of unqualified samples were analyzed, and measures to improve the laboratory practices were studied and implemented. RESULTS: A total of 1,051 unqualified samples were identified from among the 553,158 samples (the overall incidence rate of unqualified samples was 0.19%). The number of unqualified samples substantially varied according to the nature of the sample, and clinical samples collected for routine blood tests or coagulation tests were the predominant unqualified samples. The main causes of generation of unqualified samples were insufficient sample volumes and improper methods of mixing the samples. The rate of generation of unqualified samples decreased significantly after the implementation of improvement measures (0.26% in 2009 vs. 0.13% in 2010, P<0.001). CONCLUSIONS: The number of unqualified samples decreased significantly after the establishment of the laboratory quality management system, which promoted active communication among and training of the clinical staff to reduce the occurrence of pre-analytical errors. Comprehensive control of pre-analytical factors is an important approach in improving the clinical laboratory practices.
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spelling pubmed-33393032012-05-05 Analysis of Factors Influencing the Generation of Unqualified Clinical Samples and Measures to Prevent this Generation Lai, Xiaofei Yang, Ping Zhang, Yuhong Cao, Ju Zhang, Liping Ann Lab Med Original Article BACKGROUND: We investigated the influence of pre-analytical factors on the results of clinical tests and thereby analyzed approaches to improve quality management in clinical laboratories. METHODS: Unqualified clinical samples were selected from all the samples received at our clinical laboratory. The data were collected for 2009 and 2010, i.e., the years before and after the establishment of the laboratory quality management system. The rate and causes of generation of unqualified samples were analyzed, and measures to improve the laboratory practices were studied and implemented. RESULTS: A total of 1,051 unqualified samples were identified from among the 553,158 samples (the overall incidence rate of unqualified samples was 0.19%). The number of unqualified samples substantially varied according to the nature of the sample, and clinical samples collected for routine blood tests or coagulation tests were the predominant unqualified samples. The main causes of generation of unqualified samples were insufficient sample volumes and improper methods of mixing the samples. The rate of generation of unqualified samples decreased significantly after the implementation of improvement measures (0.26% in 2009 vs. 0.13% in 2010, P<0.001). CONCLUSIONS: The number of unqualified samples decreased significantly after the establishment of the laboratory quality management system, which promoted active communication among and training of the clinical staff to reduce the occurrence of pre-analytical errors. Comprehensive control of pre-analytical factors is an important approach in improving the clinical laboratory practices. The Korean Society for Laboratory Medicine 2012-05 2012-04-18 /pmc/articles/PMC3339303/ /pubmed/22563558 http://dx.doi.org/10.3343/alm.2012.32.3.216 Text en © The Korean Society for Laboratory Medicine. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lai, Xiaofei
Yang, Ping
Zhang, Yuhong
Cao, Ju
Zhang, Liping
Analysis of Factors Influencing the Generation of Unqualified Clinical Samples and Measures to Prevent this Generation
title Analysis of Factors Influencing the Generation of Unqualified Clinical Samples and Measures to Prevent this Generation
title_full Analysis of Factors Influencing the Generation of Unqualified Clinical Samples and Measures to Prevent this Generation
title_fullStr Analysis of Factors Influencing the Generation of Unqualified Clinical Samples and Measures to Prevent this Generation
title_full_unstemmed Analysis of Factors Influencing the Generation of Unqualified Clinical Samples and Measures to Prevent this Generation
title_short Analysis of Factors Influencing the Generation of Unqualified Clinical Samples and Measures to Prevent this Generation
title_sort analysis of factors influencing the generation of unqualified clinical samples and measures to prevent this generation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3339303/
https://www.ncbi.nlm.nih.gov/pubmed/22563558
http://dx.doi.org/10.3343/alm.2012.32.3.216
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