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dc.contributor.authorBietenbeck, Andreas
dc.contributor.authorGeilenkeuser, Wolf J
dc.contributor.authorKlawonn, Frank
dc.contributor.authorSpannagl, Michael
dc.contributor.authorNauck, Matthias
dc.contributor.authorPetersmann, Astrid
dc.contributor.authorThaler, Markus A
dc.contributor.authorWinter, Christof
dc.contributor.authorLuppa, Peter B
dc.date.accessioned2018-11-09T14:42:30Z
dc.date.available2018-11-09T14:42:30Z
dc.date.issued2018-07-26
dc.identifier.issn1437-4331
dc.identifier.pmid29708877
dc.identifier.doi10.1515/cclm-2017-1142
dc.identifier.urihttp://hdl.handle.net/10033/621551
dc.description.abstractDetermination of blood glucose concentration is one of the most important measurements in clinical chemistry worldwide. Analyzers in central laboratories (CL) and point-of-care tests (POCT) are both frequently used. In Germany, regular participation in external quality assessment (EQA) schemes is mandatory for laboratories performing glucose testing. Glucose testing data from the two German EQAs "Reference Institute for Bioanalytics" (RfB) and "INSTAND - Gesellschaft zur Förderung der Qualitätssicherung in medizinischen Laboratorien" (Instand) were analyzed from 2012 to 2016. Multivariable odds ratios (OR) for the probability to reach a "good" result were calculated. Imprecision and bias were determined and clinical risk of measurement errors estimated. The device employed was the most important variable required for a "good" performance in all EQAs. Additional participation in an EQA for CL automated analyzers improved performance in POCT EQAs. The reciprocal effect was less pronounced. New participants performed worse than experienced participants especially in CL EQAs. Imprecision was generally smaller for CL, but some POCT devices reached a comparable performance. Large lot-to-lot differences occurred in over 10% of analyzed cases. We propose the "bias budget" as a new metric to express the maximum allowable bias that still carries acceptable medical risk. Bias budgets were smallest and clinical risks of errors greatest in the low range of measurement 60-115 mg/dL (3.3-6.4 mmol/L) for most devices. EQAs help to maintain high analytical performances. They generate important data that serve as the foundation for learning and improvement in the laboratory healthcare system.en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectbias budgeten_US
dc.subjectlearning healthcare systemen_US
dc.subjectpoint-of-care testingen_US
dc.subjectproficiency testingen_US
dc.subjectring trialsen_US
dc.titleExternal quality assessment schemes for glucose measurements in Germany: factors for successful participation, analytical performance and medical impact.en_US
dc.typeArticleen_US
dc.contributor.departmentHZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.en_US
refterms.dateFOA2018-11-09T14:42:31Z
dc.source.journaltitleClinical chemistry and laboratory medicine


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