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Evaluation of the clinical chemistry tests analytical performance with Sigma Metric by using different quality specifications - Comparison of analyser actual performance with manufacturer data

INTRODUCTION: The interest in quality management tools/methodologies is gradually increasing to ensure quality and accurate results in line with international standards in clinical laboratories. Six Sigma stands apart from other methodologies with its total quality management system approach. Howeve...

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Autor principal: Keleş, Murat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Croatian Society of Medical Biochemistry and Laboratory Medicine 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672391/
https://www.ncbi.nlm.nih.gov/pubmed/34955671
http://dx.doi.org/10.11613/BM.2022.010703
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author Keleş, Murat
author_facet Keleş, Murat
author_sort Keleş, Murat
collection PubMed
description INTRODUCTION: The interest in quality management tools/methodologies is gradually increasing to ensure quality and accurate results in line with international standards in clinical laboratories. Six Sigma stands apart from other methodologies with its total quality management system approach. However, the lack of standardization in tolerance limits restricts the advantages for the process. Our study aimed both to evaluate the applicability of analytical quality goals with Roche Cobas c 702 analyser and to determine achievable goals specific to the analyser used. MATERIALS AND METHODS: The study examined under two main headings as Sigma(laboratory) and Sigma(analyser). Sigma(laboratory) was calculated using internal and external quality control data by using Roche Cobas c 702 analyser for 21 routine biochemistry parameters and, Sigma(analyser) calculation was based on the manufacturer data presented in the package inserts of the reagents used in our laboratory during the study. Sigma values were calculated with the six sigma formula. RESULTS: Considering the total number of targets achieved, Sigma(analyser) performed best by meeting all CLIA goals, while Sigma(laboratory) showed the lowest performance relative to biological variation (BV) desirable goals. CONCLUSIONS: The balance between the applicability and analytical assurance of “goal-setting models” should be well established. Even if the package insert data provided by the manufacturer were used in our study, it was observed that almost a quarter of the evaluated analytes failed to achieve even “acceptable” level performance according to BV-based goals. Therefore, “state-of-the-art” goals for the Six Sigma methodology are considered to be more reasonable, achievable, and compatible with today’s technologies.
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spelling pubmed-86723912021-12-23 Evaluation of the clinical chemistry tests analytical performance with Sigma Metric by using different quality specifications - Comparison of analyser actual performance with manufacturer data Keleş, Murat Biochem Med (Zagreb) Original Articles INTRODUCTION: The interest in quality management tools/methodologies is gradually increasing to ensure quality and accurate results in line with international standards in clinical laboratories. Six Sigma stands apart from other methodologies with its total quality management system approach. However, the lack of standardization in tolerance limits restricts the advantages for the process. Our study aimed both to evaluate the applicability of analytical quality goals with Roche Cobas c 702 analyser and to determine achievable goals specific to the analyser used. MATERIALS AND METHODS: The study examined under two main headings as Sigma(laboratory) and Sigma(analyser). Sigma(laboratory) was calculated using internal and external quality control data by using Roche Cobas c 702 analyser for 21 routine biochemistry parameters and, Sigma(analyser) calculation was based on the manufacturer data presented in the package inserts of the reagents used in our laboratory during the study. Sigma values were calculated with the six sigma formula. RESULTS: Considering the total number of targets achieved, Sigma(analyser) performed best by meeting all CLIA goals, while Sigma(laboratory) showed the lowest performance relative to biological variation (BV) desirable goals. CONCLUSIONS: The balance between the applicability and analytical assurance of “goal-setting models” should be well established. Even if the package insert data provided by the manufacturer were used in our study, it was observed that almost a quarter of the evaluated analytes failed to achieve even “acceptable” level performance according to BV-based goals. Therefore, “state-of-the-art” goals for the Six Sigma methodology are considered to be more reasonable, achievable, and compatible with today’s technologies. Croatian Society of Medical Biochemistry and Laboratory Medicine 2021-12-15 2022-02-15 /pmc/articles/PMC8672391/ /pubmed/34955671 http://dx.doi.org/10.11613/BM.2022.010703 Text en Croatian Society of Medical Biochemistry and Laboratory Medicine. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Keleş, Murat
Evaluation of the clinical chemistry tests analytical performance with Sigma Metric by using different quality specifications - Comparison of analyser actual performance with manufacturer data
title Evaluation of the clinical chemistry tests analytical performance with Sigma Metric by using different quality specifications - Comparison of analyser actual performance with manufacturer data
title_full Evaluation of the clinical chemistry tests analytical performance with Sigma Metric by using different quality specifications - Comparison of analyser actual performance with manufacturer data
title_fullStr Evaluation of the clinical chemistry tests analytical performance with Sigma Metric by using different quality specifications - Comparison of analyser actual performance with manufacturer data
title_full_unstemmed Evaluation of the clinical chemistry tests analytical performance with Sigma Metric by using different quality specifications - Comparison of analyser actual performance with manufacturer data
title_short Evaluation of the clinical chemistry tests analytical performance with Sigma Metric by using different quality specifications - Comparison of analyser actual performance with manufacturer data
title_sort evaluation of the clinical chemistry tests analytical performance with sigma metric by using different quality specifications - comparison of analyser actual performance with manufacturer data
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672391/
https://www.ncbi.nlm.nih.gov/pubmed/34955671
http://dx.doi.org/10.11613/BM.2022.010703
work_keys_str_mv AT kelesmurat evaluationoftheclinicalchemistrytestsanalyticalperformancewithsigmametricbyusingdifferentqualityspecificationscomparisonofanalyseractualperformancewithmanufacturerdata