Literature DB >> 23769816

The cost of poor blood specimen quality and errors in preanalytical processes.

Sol F Green1.   

Abstract

OBJECTIVES: The increase in the prevalence of medical errors represents a disturbing trend; hospital-based errors are the eighth leading cause of death in the United States. For the clinical laboratory, errors that occur in the preanalytical phase of testing may account for up to 75% of total laboratory errors; 26% of these may have detrimental effects on patient care, which contribute to unnecessary investigations or inappropriate treatment, increase in lengths of hospital stay, as well as dissatisfaction with healthcare services. This review focuses on these errors, particularly those observed in the preanalytical phase, and how they may affect clinical and financial outcomes. Financial ramifications are also demonstrated through a model that estimates the costs of preanalytical errors for the hospital and laboratory as well as patient care.
Copyright © 2013 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Medical errors; Preanalytical phase; Specimen quality

Mesh:

Year:  2013        PMID: 23769816     DOI: 10.1016/j.clinbiochem.2013.06.001

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  30 in total

1.  Rapid isolation of blood plasma using a cascaded inertial microfluidic device.

Authors:  M Robinson; H Marks; T Hinsdale; K Maitland; G Coté
Journal:  Biomicrofluidics       Date:  2017-03-24       Impact factor: 2.800

2.  Evaluation of an intervention to improve blood culture practices: a cluster randomised trial.

Authors:  P Pavese; M Maillet; V Vitrat-Hincky; C Recule; J-P Vittoz; A Guyomard; A Seigneurin; P François
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-07-02       Impact factor: 3.267

3.  Preanalytical Errors in Hematology Laboratory- an Avoidable Incompetence.

Authors:  Vikram Narang HarsimranKaur; Pavneet Kaur Selhi; Neena Sood; Aminder Singh
Journal:  Iran J Pathol       Date:  2016

4.  Targeting Rejection: Analysis of Specimen Acceptability and Rejection, and Framework for Identifying Interventions in a Single Tertiary Healthcare Facility.

Authors:  Lisa Rooper; Jamal Carter; John Hargrove; Sheri Hoffmann; Stefan Riedel
Journal:  J Clin Lab Anal       Date:  2016-09-15       Impact factor: 2.352

5.  Impact of Educational Activities in Reducing Pre-Analytical Laboratory Errors: A quality initiative.

Authors:  Hamed Al-Ghaithi; Anil Pathare; Sahimah Al-Mamari; Rodrigo Villacrucis; Naglaa Fawaz; Salam Alkindi
Journal:  Sultan Qaboos Univ Med J       Date:  2017-10-10

6.  Errors in the Extra-Analytical Phases of Clinical Chemistry Laboratory Testing.

Authors:  Annalise E Zemlin
Journal:  Indian J Clin Biochem       Date:  2017-05-05

Review 7.  Current Methods of Haemolysis Detection and Reporting as a Source of Risk to Patient Safety: a Narrative Review.

Authors:  Euan J McCaughey; Elia Vecellio; Rebecca Lake; Ling Li; Leslie Burnett; Douglas Chesher; Stephen Braye; Mark Mackay; Stephanie Gay; Tony C Badrick; Johanna I Westbrook; Andrew Georgiou
Journal:  Clin Biochem Rev       Date:  2016-12

8.  Ten years of preanalytical monitoring and control: Synthetic Balanced Score Card Indicator.

Authors:  Maria Salinas; Maite López-Garrigós; Emilio Flores; Ana Santo-Quiles; Mercedes Gutierrez; Javier Lugo; Rosa Lillo; Carlos Leiva-Salinas
Journal:  Biochem Med (Zagreb)       Date:  2015       Impact factor: 2.313

9.  The rise in preanalytical errors during COVID-19 pandemic.

Authors:  Tapasyapreeti Mukhopadhyay; Arulselvi Subramanian; Shivam Pandey; Nirupam Madaan; Anjan Trikha; Rajesh Malhotra
Journal:  Biochem Med (Zagreb)       Date:  2021-06-15       Impact factor: 2.313

Review 10.  Croatian Society of Medical Biochemistry and Laboratory Medicine: national recommendations for venous blood sampling.

Authors:  Nora Nikolac; Vesna Supak-Smolcić; Ana-Maria Simundić; Ivana Celap
Journal:  Biochem Med (Zagreb)       Date:  2013       Impact factor: 2.313

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