Literature DB >> 29031018

Strategies to define performance specifications in laboratory medicine: 3 years on from the Milan Strategic Conference.

Mauro Panteghini1, Ferruccio Ceriotti1, Graham Jones1, Wytze Oosterhuis1, Mario Plebani1, Sverre Sandberg1.   

Abstract

Measurements in clinical laboratories produce results needed in the diagnosis and monitoring of patients. These results are always characterized by some uncertainty. What quality is needed and what measurement errors can be tolerated without jeopardizing patient safety should therefore be defined and specified for each analyte having clinical use. When these specifications are defined, the total examination process will be "fit for purpose" and the laboratory professionals should then set up rules to control the measuring systems to ensure they perform within specifications. The laboratory community has used different models to set performance specifications (PS). Recently, it was felt that there was a need to revisit different models and, at the same time, to emphasize the presuppositions for using the different models. Therefore, in 2014 the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) organized a Strategic Conference in Milan. It was felt that there was a need for more detailed discussions on, for instance, PS for EQAS, which measurands should use which models to set PS and how to set PS for the extra-analytical phases. There was also a need to critically evaluate the quality of data on biological variation studies and further discussing the use of the total error (TE) concept. Consequently, EFLM established five Task Finish Groups (TFGs) to address each of these topics. The TFGs are finishing their activity on 2017 and the content of this paper includes deliverables from these groups.

Entities:  

Keywords:  biological variation; outcome; performance specifications

Mesh:

Year:  2017        PMID: 29031018     DOI: 10.1515/cclm-2017-0772

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


  5 in total

Review 1.  Toward a Framework for Outcome-Based Analytical Performance Specifications: A Methodology Review of Indirect Methods for Evaluating the Impact of Measurement Uncertainty on Clinical Outcomes.

Authors:  Alison F Smith; Bethany Shinkins; Peter S Hall; Claire T Hulme; Mike P Messenger
Journal:  Clin Chem       Date:  2019-08-23       Impact factor: 8.327

Review 2.  Uncertainty in measurement: A review of the procedures for determining uncertainty in measurement and its use in deriving the biological variation of the estimated glomerular filtration rate.

Authors:  Ian Farrance; Tony Badrick; Robert Frenkel
Journal:  Pract Lab Med       Date:  2018-04-05

Review 3.  Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories.

Authors:  Sten Westgard; Hassan Bayat; James O Westgard
Journal:  Biochem Med (Zagreb)       Date:  2018-06-15       Impact factor: 2.313

4.  Determining the Need for Repeat Testing of Blood Ethanol Concentration: Evaluation of the Synchron Blood Ethyl Alcohol Assay Kit.

Authors:  Yasemin Ustundağ; Kağan Huysal; Sevim Eşmedere Eren
Journal:  J Med Biochem       Date:  2019-05-11       Impact factor: 3.402

Review 5.  Biological variation: Understanding why it is so important?

Authors:  Tony Badrick
Journal:  Pract Lab Med       Date:  2021-01-04
  5 in total

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