Literature DB >> 25719323

Assessing quality on the Sigma scale from proficiency testing and external quality assessment surveys.

James O Westgard, Sten A Westgard.   

Abstract

BACKGROUND: There is a need to assess the quality being achieved for laboratory examinations that are being utilized to support evidence-based clinical guidelines. Application of Six Sigma concepts and metrics can provide an objective assessment of the current analytical quality of different examination procedures.
METHODS: A "Sigma Proficiency Assessment Chart" can be constructed for data obtained from proficiency testing and external quality assessment surveys to evaluate the observed imprecision and bias of method subgroups and determine quality on the Sigma scale.
RESULTS: Data for hemoglobin A1c (HbA1c) from a 2014 survey by the College of American Pathologists (CAP) demonstrates that approximately two-thirds of the examination subgroups provide only two-Sigma quality when evaluated against the CAP requirement of an allowable total error of 6.0%. The weighted averages were 1.46 Sigma for a survey sample with an assigned value of 6.49% Hb (average bias 2.31%, CV 2.87%), 1.45 Sigma at 6.97% Hb (average bias 2.29%, CV 2.81%), and 1.75 at 9.65% Hb (average bias 1.55%, CV 2.71%). Maximum biases for examination subgroups were 5.7%, 5.8%, and 4.1%, respectively.
CONCLUSIONS: Assessment of quality on the Sigma scale provides evidence of the analytical performance that is being achieved relative to requirements for intended use and should be useful for identifying and prioritizing improvements that are needed in the analytical quality of laboratory examinations. In spite of global and national standardization programs, bias is still a critical limitation of current HbA1c examination procedures.

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Year:  2015        PMID: 25719323     DOI: 10.1515/cclm-2014-1241

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  11 in total

1.  Application of Sigma Metrics and Performance Comparison Between Two Biochemistry Analyser and a Blood Gas Analyser for the Determination of Electrolytes.

Authors:  Yasemin Ustundag-Budak; Kagan Huysal
Journal:  J Clin Diagn Res       Date:  2017-02-01

2.  Selecting a Risk-Based SQC Procedure for a HbA1c Total QC Plan.

Authors:  Sten A Westgard; Hassan Bayat; James O Westgard
Journal:  J Diabetes Sci Technol       Date:  2017-09-14

3.  Accuracy of HbA1c as Monitored by External Quality Assessment and Compared With Patient Mean Values.

Authors:  Gunnar Nordin
Journal:  J Diabetes Sci Technol       Date:  2018-06-19

4.  Assessing quality from an accuracy-based HbA1c proficiency survey.

Authors:  Randie R Little; Curt L Rohlfing
Journal:  Clin Chem Lab Med       Date:  2016-03       Impact factor: 3.694

5.  Sigma-Metrics of Electrolyte Tests From a Recently Launched New-Generation Proficiency Testing Program of the Korean Association of Quality Assurance for Clinical Laboratory.

Authors:  Hee Jin Huh; Yun Mi Park; Seungok Lee; Chunhwa Ihm; Soyeon Seo; Sang Gon Lee; Joonseok Park; Hae Il Park
Journal:  Ann Lab Med       Date:  2017-07       Impact factor: 3.464

6.  Sigma metrics for assessing the analytical quality of clinical chemistry assays: a comparison of two approaches: Electronic supplementary material available online for this article.

Authors:  Xiuzhi Guo; Tianjiao Zhang; Xuehui Gao; Pengchang Li; Tingting You; Qiong Wu; Jie Wu; Fang Zhao; Liangyu Xia; Ermu Xu; Ling Qiu; Xinqi Cheng
Journal:  Biochem Med (Zagreb)       Date:  2018-06-15       Impact factor: 2.313

7.  Evaluation of Analytical Performance of Variant II Turbo HbA1c Analyzer According to Sigma Metrics.

Authors:  Giray Bozkaya; Nuriye Uzuncan; Sibel Bilgili; Ozlem Demirezen
Journal:  J Med Biochem       Date:  2019-03-01       Impact factor: 3.402

8.  The Evaluation of Analytical Performance of Immunoassay Tests by using Six-sigma Method.

Authors:  Rukiye Nar; Dilek Iren Emekli
Journal:  J Med Biochem       Date:  2017-10-28       Impact factor: 3.402

9.  Application of sigma metrics for the assessment of quality assurance using the MQ-2000 PT HbA1c analyzer.

Authors:  Kağan Huysal; Yasemin U Budak
Journal:  Biochem Med (Zagreb)       Date:  2015-10-15       Impact factor: 2.313

10.  Utility of process capability indices in assessment of quality control processes at a clinical laboratory chain.

Authors:  Ping Dong; Yong-Bo Wang; De-Zhi Peng; Jia-Jia Wang; Ya-Ting Cheng; Xiao-Yan Deng; Biao Zheng; Ran Tao
Journal:  J Clin Lab Anal       Date:  2021-06-24       Impact factor: 2.352

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