Literature DB >> 16196514

Point-of-care testing error: sources and amplifiers, taxonomy, prevention strategies, and detection monitors.

Frederick A Meier1, Bruce A Jones.   

Abstract

CONTEXT: In a survey performed 4 years ago, testing venues doing only point-of-care testing (POCT) made up 78% of sites for patient testing licensed under federal regulations.
OBJECTIVES: To identify sources of POCT error, to present a classification of such errors, to suggest strategies to prevent errors, and to describe monitors that assess and reduce the frequency of errors.
DESIGN: To identify sources of POCT error, large studies of error among US Federal Certificate of Waiver laboratories (CoWs) and practitioner-performed microscopy certificate holders were reviewed. To facilitate investigation and management of POCT error, a taxonomy of such errors (modified from a classification previously published by Gerald Kost) was used to identify 4 steps with error potential in each of the 3 phases (ie, preanalytic, analytic, and postanalytic) of the POCT process. To prevent observed POCT errors, 4 strategies are suggested: direct observation of instrument/method functionality, structured observation of method performance, proficiency testing/use of relevant test scenarios, and autonomation. To assess frequency of errors, a quartet of indices are introduced as detection monitors: order documentation, patient identification, specimen adequacy, and result integrity.
RESULTS: Three sources of POCT error were identified: operator incompetence, nonadherence to test procedures, and use of uncontrolled reagents and equipment. Three other characteristics of many point-of-care tests amplify their risk of error: incoherent regulation, rapid availability of results, and the results' immediate therapeutic implications. Two members of the quartet of detection monitors, order documentation and specimen adequacy, are relatively difficult to measure and are controversial, but the other 2, patient identification and result integrity, are easier to assess and are relatively widely accepted.
CONCLUSIONS: Point-of-care testing errors are relatively common, their frequency is amplified by incoherent regulation, and their likelihood of affecting patient care is amplified by the rapid availability of POCT results and the results' immediate therapeutic implications. The modified Kost taxonomy offers a reasonable approach to the identification of POCT errors. Direct observation of test functionality, structured observation of test performance, and testing the competence of POCT operators, as well as autonomation of devices, are strategies to prevent such errors. In this context, we suggest monitoring POCT order documentation, patient identification, specimen integrity, and result reporting to detect errors in this sort of testing.

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Year:  2005        PMID: 16196514     DOI: 10.5858/2005-129-1262-PTESAA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  13 in total

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

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4.  Pre-analytical error for three point of care venous blood testing platforms in acute ambulatory settings: A mixed methods service evaluation.

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Review 5.  Technical considerations to development of serological tests for SARS-CoV-2.

Authors:  Emilie Ernst; Patricia Wolfe; Corrine Stahura; Katie A Edwards
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6.  Identifying sources of error and selecting quality indicators for point of care testing.

Authors:  Miranda Brun; Anna K Füzéry; Bailey Henschke; Kallie Rozak; Allison A Venner
Journal:  Pract Lab Med       Date:  2021-03-21

7.  Results of a survey among GP practices on how they manage patient safety aspects related to point-of-care testing in every day practice.

Authors:  Claudette de Vries; Carine Doggen; Ellen Hilbers; Robert Verheij; Maarten IJzerman; Robert Geertsma; Ron Kusters
Journal:  BMC Fam Pract       Date:  2015-02-05       Impact factor: 2.497

8.  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

9.  Impact of point-of-care diagnostics on maternal outcomes in HIV-infected women: systematic review and meta-analysis protocol.

Authors:  T P Mashamba-Thompson; B Sartorius; L Thabane; C X Shi; P K Drain
Journal:  BMJ Open       Date:  2016-01-27       Impact factor: 2.692

10.  Effect of Point-of-Care Diagnostics on Maternal Outcomes in Human Immunodeficiency Virus-Infected Women: Systematic Review and Meta-analysis.

Authors:  Tivani P Mashamba-Thompson; Rebecca L Morgan; Benn Sartorius; Brittany Dennis; Paul K Drain; Lehana Thabane
Journal:  Point Care       Date:  2017-06
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