Literature DB >> 25389340

Method precision and frequent causes of errors observed in point-of-care glucose testing: a proficiency testing program perspective.

Berna Aslan1, Julia Stemp2, Paul Yip3, Jane Gun-Munro2.   

Abstract

OBJECTIVES: Method imprecision, error rates, and explanatory causes that were identified in the Institute for Quality Management in Healthcare point-of-care (POC) glucose proficiency testing (PT) program were assessed in comparison with results obtained from laboratory glucose PT surveys.
METHODS: POC and laboratory glucose PT data were assessed from September 2009 to June 2011. Peer group means and coefficients of variation (CVs) were estimated using the robust algorithm recommended in the International Organization for Standardization/International Electrotechnical Commission 13528(E). Discordant finding investigations were also reviewed to determine the causes of significant and recurring errors.
RESULTS: POC glucose CVs were higher than laboratory method CVs (median CV, 4.5% and 1.6%, respectively). While all laboratory glucose results were within the performance limits, 305 (0.59%) of 51,379 POC glucose results exceeded limits. Investigations were required for 277 (0.53%) POC results. Pre- and postanalytical errors accounted for 76% of the discordant findings. Using wrong PT items, sample mix-up on the bench, and reporting results for the wrong sample were the most frequent reasons, while 21% of discordant findings identified manufacturer issues, and 3% were of unknown origin.
CONCLUSIONS: Both method CVs and error rates were higher in POC than in laboratory glucose methods, even though larger performance limits were used for the assessment of POC glucose. Copyright© by the American Society for Clinical Pathology.

Entities:  

Keywords:  Analytic quality goals; External quality assessment; POC glucose; Performance standards; Proficiency testing

Mesh:

Substances:

Year:  2014        PMID: 25389340     DOI: 10.1309/AJCPP5YS2MVSKBYY

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  4 in total

1.  Algorithm-based arterial blood sampling recognition increasing safety in point-of-care diagnostics.

Authors:  Jörg Peter; Wilfried Klingert; Kathrin Klingert; Karolin Thiel; Daniel Wulff; Alfred Königsrainer; Wolfgang Rosenstiel; Martin Schenk
Journal:  World J Crit Care Med       Date:  2017-08-04

2.  Commutability of external quality assessment materials for point-of-care glucose testing using the Clinical and Laboratory Standards Institute and International Federation of Clinical Chemistry approaches.

Authors:  Yan Wang; Mario Plebani; Laura Sciacovelli; Shunli Zhang; Qingtao Wang; Rui Zhou
Journal:  J Clin Lab Anal       Date:  2020-04-27       Impact factor: 2.352

3.  Patient-based quality control for glucometers: using the moving sum of positive patient results and moving average.

Authors:  Chun Yee Lim; Tony Badrick; Tze Ping Loh
Journal:  Biochem Med (Zagreb)       Date:  2020-06-15       Impact factor: 2.313

4.  Association between Blood Glucose and cardiac Rhythms during pre-hospital care of Trauma Patients - a retrospective Analysis.

Authors:  Janett Kreutziger; Stefan Schmid; Nikolaus Umlauf; Hanno Ulmer; Maarten W Nijsten; Daniel Werner; Thomas Schlechtriemen; Wolfgang Lederer
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-07-13       Impact factor: 2.953

  4 in total

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