Literature DB >> 19298804

Does POCT reduce the risk of error in laboratory testing?

Mario Plebani1.   

Abstract

Point-of-care testing (POCT), the fastest growing segment of the current clinical laboratory testing market, is a rapid means for providing test results in different clinical settings. In theory, this tool eliminates some of the more problematic steps in the testing process, including specimen transport and result distribution. However, POCT has created new challenges, and sources of potential errors; moreover, while the upsurge in its use has generated concerns regarding the quality of test results, few data are available in the literature on errors with POCT. Nor are data available for the evaluation of errors, and the risk of errors in POCT based on all steps in the entire testing process, including test requesting and result utilization. According to a modified Kost model, which takes into account all steps of the testing process and latent conditions for error, POCT reduces errors and the risk of error in only a few steps of the testing process. There is therefore an urgent need for an evaluation of errors and risks of error in POCT that is based on the entire testing process and uses well-designed studies aiming to improve clinical outcomes and increase patient safety.

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Year:  2009        PMID: 19298804     DOI: 10.1016/j.cca.2009.03.014

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  17 in total

1.  Surface plasmon resonance aided electrochemical immunosensor for CK-MB determination in undiluted serum samples.

Authors:  Fernando Garay; Greggory Kisiel; Aiping Fang; Erno Lindner
Journal:  Anal Bioanal Chem       Date:  2010-05-08       Impact factor: 4.142

2.  Performance of a rapid and simple HIV testing algorithm in a multicenter phase III microbicide clinical trial.

Authors:  Tania Crucitti; Doug Taylor; Greet Beelaert; Katrien Fransen; Lut Van Damme
Journal:  Clin Vaccine Immunol       Date:  2011-07-13

Review 3.  Point-of-care blood glucose testing for diabetes care in hospitalized patients: an evidence-based review.

Authors:  Rajesh Rajendran; Gerry Rayman
Journal:  J Diabetes Sci Technol       Date:  2014-06-05

4.  Correlation Between Capillary and Venous Blood Glucose in the Lactose Tolerance Test.

Authors:  José Luis Domínguez Jiménez; Antonio Fernández Suárez
Journal:  Dig Dis Sci       Date:  2015-08-30       Impact factor: 3.199

5.  Reducing patient identification errors related to glucose point-of-care testing.

Authors:  Gaurav Alreja; Namrata Setia; James Nichols; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2011-05-11

6.  Performance evaluation of the Pima™ point-of-care CD4 analyser using capillary blood sampling in field tests in South Africa.

Authors:  Deborah K Glencross; Lindi M Coetzee; Mamsallah Faal; Martin Masango; Wendy S Stevens; Wd Francois Venter; Regina Osih
Journal:  J Int AIDS Soc       Date:  2012-01-30       Impact factor: 5.396

7.  Comparability of Point-of-Care versus Central Laboratory Hemoglobin Determination in Emergency Patients at a Supra-Maximal Care Hospital.

Authors:  Ramona C Dolscheid-Pommerich; Sarah Dolscheid; Daniel Grigutsch; Birgit Stoffel-Wagner; Ingo Graeff
Journal:  PLoS One       Date:  2016-11-23       Impact factor: 3.240

8.  Use of portable blood physiology point-of-care devices for basic and applied research on vertebrates: a review.

Authors:  Lauren J Stoot; Nicholas A Cairns; Felicia Cull; Jessica J Taylor; Jennifer D Jeffrey; Félix Morin; John W Mandelman; Timothy D Clark; Steven J Cooke
Journal:  Conserv Physiol       Date:  2014-04-04       Impact factor: 3.079

9.  Prospective, observational study comparing automated and visual point-of-care urinalysis in general practice.

Authors:  Sanne van Delft; Annelijn Goedhart; Mark Spigt; Bart van Pinxteren; Niek de Wit; Rogier Hopstaken
Journal:  BMJ Open       Date:  2016-08-08       Impact factor: 2.692

10.  Feasibility of HIV point-of-care tests for resource-limited settings: challenges and solutions.

Authors:  Wendy Stevens; Natasha Gous; Nathan Ford; Lesley E Scott
Journal:  BMC Med       Date:  2014-09-08       Impact factor: 8.775

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