Literature DB >> 9267313

Errors, mistakes, blunders, outliers, or unacceptable results: how many?

D L Witte1, S A VanNess, D S Angstadt, B J Pennell.   

Abstract

We have studied 219353 individual clinical chemistry results obtained in methods comparison studies. Each result was prospectively compared with its replicate, comparative, or repeat value to identify differences from expected values. Unacceptable results were defined as differing from the expected values by < or = 7 SDs or CVs. We believe these differences represent special-cause variation and should be expressed as unacceptable rates per million results (ppm). We observed 447 ppm unacceptables: 196 ppm in control samples and 251 ppm in patients' samples. Results judged likely to alter patient care occurred at a rate of 41 ppm. To better understand the magnitude of these rates, we compared these results with reports of error rates in HIV testing and the airline industry. The measurements reported were made for the purpose of quality improvement, not judgment or discovery. The significance of these findings for laboratorians, manufacturers, and regulators is discussed.

Entities:  

Mesh:

Year:  1997        PMID: 9267313

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  9 in total

1.  A Root Cause Analysis Into the High Error Rate in Clinical Immunohistochemistry.

Authors:  Steven A Bogen
Journal:  Appl Immunohistochem Mol Morphol       Date:  2019-02-22

2.  Influence of method of specimen collection on various preanalytical sample quality indicators in EDTA blood collected for cell counting.

Authors:  Tester F Ashavaid; Sucheta P Dandekar; S Khodaiji; M H Ansari; Adarsh Pal Singh
Journal:  Indian J Clin Biochem       Date:  2009-12-30

Review 3.  Measurement of errors in clinical laboratories.

Authors:  Rachna Agarwal
Journal:  Indian J Clin Biochem       Date:  2013-03-26

4.  Evaluation of analytical errors in a clinical chemistry laboratory: a 3 year experience.

Authors:  As Sakyi; Ef Laing; Rk Ephraim; Of Asibey; Ok Sadique
Journal:  Ann Med Health Sci Res       Date:  2015 Jan-Feb

5.  Analytical robustness of nine common assays: frequency of outliers and extreme differences identified by a large number of duplicate measurements.

Authors:  Stefanie Neubig; Anne Grotevendt; Anders Kallner; Matthias Nauck; Astrid Petersmann
Journal:  Biochem Med (Zagreb)       Date:  2017-02-15       Impact factor: 2.313

6.  [External evaluation of the quality of CD4 T cells enumeration in the laboratory of immunology and hematology at the Cocody University Hospital Center].

Authors:  Koffi N'guessan; Yekayo Benedicte Koné; Oppong Richard Yéboah; Amah Patricia Goran-Kouacou; Séry Romuald Dassé
Journal:  Pan Afr Med J       Date:  2018-07-06

7.  Introduction of quality management in a National Reference Laboratory in Germany.

Authors:  Susanne Homolka; Julia Zallet; Heidi Albert; Anne-Kathrin Witt; Katharina Kranzer
Journal:  PLoS One       Date:  2019-10-15       Impact factor: 3.240

Review 8.  How to conduct External Quality Assessment Schemes for the pre-analytical phase?

Authors:  Gunn B B Kristensen; Kristin Moberg Aakre; Ann Helen Kristoffersen; Sverre Sandberg
Journal:  Biochem Med (Zagreb)       Date:  2014-02-15       Impact factor: 2.313

9.  Diagnostic Errors and Laboratory Medicine - Causes and Strategies.

Authors:  Mario Plebani
Journal:  EJIFCC       Date:  2015-01-27
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.