Literature DB >> 11978595

Errors in laboratory medicine.

Pierangelo Bonini1, Mario Plebani, Ferruccio Ceriotti, Francesca Rubboli.   

Abstract

BACKGROUND: The problem of medical errors has recently received a great deal of attention, which will probably increase. In this minireview, we focus on this issue in the fields of laboratory medicine and blood transfusion.
METHODS: We conducted several MEDLINE queries and searched the literature by hand. Searches were limited to the last 8 years to identify results that were not biased by obsolete technology. In addition, data on the frequency and type of preanalytical errors in our institution were collected.
RESULTS: Our search revealed large heterogeneity in study designs and quality on this topic as well as relatively few available data and the lack of a shared definition of "laboratory error" (also referred to as "blunder", "mistake", "problem", or "defect"). Despite these limitations, there was considerable concordance on the distribution of errors throughout the laboratory working process: most occurred in the pre- or postanalytical phases, whereas a minority (13-32% according to the studies) occurred in the analytical portion. The reported frequency of errors was related to how they were identified: when a careful process analysis was performed, substantially more errors were discovered than when studies relied on complaints or report of near accidents.
CONCLUSIONS: The large heterogeneity of literature on laboratory errors together with the prevalence of evidence that most errors occur in the preanalytical phase suggest the implementation of a more rigorous methodology for error detection and classification and the adoption of proper technologies for error reduction. Clinical audits should be used as a tool to detect errors caused by organizational problems outside the laboratory.

Entities:  

Mesh:

Year:  2002        PMID: 11978595

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


  127 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.  [The incorrect laboratory result. Part 1: Pre- and postanalytical phase].

Authors:  G M Fiedler; J Thiery
Journal:  Internist (Berl)       Date:  2004-03       Impact factor: 0.743

3.  Multilevel research and the challenges of implementing genomic medicine.

Authors:  Muin J Khoury; Ralph J Coates; Mary L Fennell; Russell E Glasgow; Maren T Scheuner; Sheri D Schully; Marc S Williams; Steven B Clauser
Journal:  J Natl Cancer Inst Monogr       Date:  2012-05

Review 4.  Effectiveness of barcoding for reducing patient specimen and laboratory testing identification errors: a Laboratory Medicine Best Practices systematic review and meta-analysis.

Authors:  Susan R Snyder; Alessandra M Favoretto; James H Derzon; Robert H Christenson; Stephen E Kahn; Colleen S Shaw; Rich Ann Baetz; Diana Mass; Corinne R Fantz; Stephen S Raab; Milenko J Tanasijevic; Edward B Liebow
Journal:  Clin Biochem       Date:  2012-06-28       Impact factor: 3.281

5.  Knowledge and perceptions of quality systems among Vermont laboratorians.

Authors:  Steven R Blumen; Phda Shelly Naud; Mary Val Palumbo; Barbara McIntosh; Burton W Wilcke
Journal:  Public Health Rep       Date:  2010 May-Jun       Impact factor: 2.792

Review 6.  Pre-analytic variability in cardiovascular biomarker testing.

Authors:  Roberto Cemin; Massimo Daves
Journal:  J Thorac Dis       Date:  2015-10       Impact factor: 2.895

7.  A guide for measurement of circulating metabolic hormones in rodents: Pitfalls during the pre-analytical phase.

Authors:  Maximilian Bielohuby; Sarah Popp; Martin Bidlingmaier
Journal:  Mol Metab       Date:  2012-08-09       Impact factor: 7.422

8.  Clinical chemistry through Clinical Chemistry: a journal timeline.

Authors:  Robert Rej
Journal:  Clin Chem       Date:  2004-12       Impact factor: 8.327

9.  Clinical impact associated with corrected results in clinical microbiology testing.

Authors:  Shan Yuan; Michael L Astion; Jeff Schapiro; Ajit P Limaye
Journal:  J Clin Microbiol       Date:  2005-05       Impact factor: 5.948

10.  Improvement of Blood Samples Preanalytic Management Alters the Clinical Results of Glucose Values: Population Study.

Authors:  Shlomi Codish; Doron Amichay; Maayan Yitshak-Sade; Roni Gat; Idit F Liberty; Lena Novack
Journal:  J Diabetes Sci Technol       Date:  2019-01-15
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