Application of the six sigma model to evaluate the analytical performance of serum lipid analytes and design quality control strategies: A multi-centre study.

IF 2.1 4区 医学 Q3 MEDICAL LABORATORY TECHNOLOGY
Qian Liu, Yu Lin, Fang Yang, Yaping Dai, Huan Hang, Menglin Wang, Ming Hu, Fumeng Yang
{"title":"Application of the six sigma model to evaluate the analytical performance of serum lipid analytes and design quality control strategies: A multi-centre study.","authors":"Qian Liu, Yu Lin, Fang Yang, Yaping Dai, Huan Hang, Menglin Wang, Ming Hu, Fumeng Yang","doi":"10.1177/00045632251350503","DOIUrl":null,"url":null,"abstract":"<p><p>BackgroundThe six sigma model is widely used in laboratory quality management. For the first time, this study introduced total allowable error (TEa) from WS/T403-2024 and 'desirable' biological variation (BV) as dual quality goals to evaluate serum lipid analytes in six laboratories and develop individualized quality control (QC) strategies.MethodsWe collected internal quality control (IQC) and external quality assessment (EQA) data to calculate sigma values for each serum lipid analyte. Normalized sigma method decision charts were employed, and the Westgard sigma rule flow chart with batch size plus the quality goal index (QGI) guided individualized QC strategies and improvement plans.ResultsUnder the same quality goal, different QC concentrations produced varying sigma values. Sigma values also differed significantly between the two quality goals. When WS/T403-2024 was applied, all analytes except triglycerides (TGs) showed lower sigma values than under 'desirable' BV. Normalized sigma method decision charts effectively highlighted these differences. Based on the Westgard sigma rule flow chart with batch size and QGI, individualized QC strategies were created, and priority improvement measures were proposed for analytes with sigma values below six.ConclusionsThe six sigma model is a valuable tool for laboratory quality management, guiding laboratories to enhance the detection capabilities of serum lipid analytes through targeted QC strategies and improvement measures.</p>","PeriodicalId":8005,"journal":{"name":"Annals of Clinical Biochemistry","volume":" ","pages":"45632251350503"},"PeriodicalIF":2.1000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Clinical Biochemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/00045632251350503","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

BackgroundThe six sigma model is widely used in laboratory quality management. For the first time, this study introduced total allowable error (TEa) from WS/T403-2024 and 'desirable' biological variation (BV) as dual quality goals to evaluate serum lipid analytes in six laboratories and develop individualized quality control (QC) strategies.MethodsWe collected internal quality control (IQC) and external quality assessment (EQA) data to calculate sigma values for each serum lipid analyte. Normalized sigma method decision charts were employed, and the Westgard sigma rule flow chart with batch size plus the quality goal index (QGI) guided individualized QC strategies and improvement plans.ResultsUnder the same quality goal, different QC concentrations produced varying sigma values. Sigma values also differed significantly between the two quality goals. When WS/T403-2024 was applied, all analytes except triglycerides (TGs) showed lower sigma values than under 'desirable' BV. Normalized sigma method decision charts effectively highlighted these differences. Based on the Westgard sigma rule flow chart with batch size and QGI, individualized QC strategies were created, and priority improvement measures were proposed for analytes with sigma values below six.ConclusionsThe six sigma model is a valuable tool for laboratory quality management, guiding laboratories to enhance the detection capabilities of serum lipid analytes through targeted QC strategies and improvement measures.

应用六西格玛模型评价血脂分析物的分析性能和设计质量控制策略:一项多中心研究。
背景:六西格玛模型在实验室质量管理中得到广泛应用。本研究首次引入WS/T403-2024的总允许误差(TEa)和理想生物变异(BV)作为双质量目标,对6个实验室的血脂分析结果进行评价,并制定个性化的质量控制(QC)策略。方法:收集内部质量控制(IQC)和外部质量评价(EQA)数据,计算各血脂分析物的sigma值。采用归一化西格玛方法决策图,采用批量加质量目标指数(QGI)的Westgard西格玛规则流程图指导个性化的质量控制策略和改进计划。结果:在相同的质量目标下,不同的QC浓度产生不同的sigma值。西格玛值在两个质量目标之间也存在显著差异。当使用WS/T403-2024时,除了甘油三酯(TG)外,所有分析物的sigma值都低于“理想”BV。规范化的西格玛方法决策图有效地突出了这些差异。基于Westgard批量和QGI的sigma规则流程图,创建个性化的QC策略,并针对sigma值低于6的分析物提出优先改进措施。结论:六西格玛模型是实验室质量管理的重要工具,可指导实验室通过有针对性的QC策略和改进措施,提高血脂分析物的检测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Annals of Clinical Biochemistry
Annals of Clinical Biochemistry Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
5.20
自引率
4.50%
发文量
61
期刊介绍: Annals of Clinical Biochemistry is the fully peer reviewed international journal of the Association for Clinical Biochemistry and Laboratory Medicine. Annals of Clinical Biochemistry accepts papers that contribute to knowledge in all fields of laboratory medicine, especially those pertaining to the understanding, diagnosis and treatment of human disease. It publishes papers on clinical biochemistry, clinical audit, metabolic medicine, immunology, genetics, biotechnology, haematology, microbiology, computing and management where they have both biochemical and clinical relevance. Papers describing evaluation or implementation of commercial reagent kits or the performance of new analysers require substantial original information. Unless of exceptional interest and novelty, studies dealing with the redox status in various diseases are not generally considered within the journal''s scope. Studies documenting the association of single nucleotide polymorphisms (SNPs) with particular phenotypes will not normally be considered, given the greater strength of genome wide association studies (GWAS). Research undertaken in non-human animals will not be considered for publication in the Annals. Annals of Clinical Biochemistry is also the official journal of NVKC (de Nederlandse Vereniging voor Klinische Chemie) and JSCC (Japan Society of Clinical Chemistry).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信