Literature DB >> 19302995

Exploring the iceberg of errors in laboratory medicine.

Mario Plebani1.   

Abstract

The last few decades have seen a significant decrease in the rates of analytical errors in clinical laboratories, and currently available evidence demonstrates that the pre- and post-analytical steps of the total testing process (TTP) are more error-prone than the analytical phase. In particular, most errors are identified in pre-pre-analytic and post-post analytic steps outside the walls of the laboratory, and beyond its control. However, in a patient-centered approach to the delivery of health care services, there is the need to investigate any possible defect in the total testing process that may have a negative impact on the patient. In fact, in the interests of patients, any direct or indirect negative consequence related to a laboratory test must be considered, irrespective of which step is involved and whether the error is caused by a laboratory professional (e.g., calibration or testing error) or by a non-laboratory operator (e.g., inappropriate test request, error in patient identification and/or blood collection). Data on diagnostic errors in primary care and in the emergency department setting demonstrate that inappropriate test requesting and incorrect interpretation account for a large percentage of total errors whatever the discipline involved, be it radiology, pathology or laboratory medicine. Patient misidentification and problems in communicating results, which affect the delivery of all diagnostic services, are widely recognized as the main goals for quality improvement. Therefore, some common problems affect diagnostic errors, although specific faults characterising errors in laboratory medicine should lead to preventive and corrective actions if evidence-based quality indicators are developed, implemented and monitored. The lesson we have learned is that each practice must examine its own total testing process to discover its weaknesses and identify appropriate remedies.

Entities:  

Mesh:

Year:  2009        PMID: 19302995     DOI: 10.1016/j.cca.2009.03.022

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


  41 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 a light meal on routine haematological tests.

Authors:  Giuseppe Lippi; Gabriel Lima-Oliveira; Gian Luca Salvagno; Martina Montagnana; Matteo Gelati; Geraldo Picheth; Alberto José Duarte; Massimo Franchini; Gian Cesare Guidi
Journal:  Blood Transfus       Date:  2010-04       Impact factor: 3.443

3.  Errors in medicine and errors in laboratory medicine: what is the difference?

Authors:  Cosimo Ottomano
Journal:  Blood Transfus       Date:  2010-04       Impact factor: 3.443

4.  Quality indicators to detect pre-analytical errors in laboratory testing.

Authors:  Mario Plebani
Journal:  Clin Biochem Rev       Date:  2012-08

5.  Role of intervention on laboratory performance: evaluation of quality indicators in a tertiary care hospital.

Authors:  Rachna Agarwal; Sujata Chaturvedi; Neelam Chhillar; Renu Goyal; Ishita Pant; Chandra B Tripathi
Journal:  Indian J Clin Biochem       Date:  2012-01-07

6.  Accountability through regulation in Ontario's Medical Laboratory Sector.

Authors:  Brenda Gamble; Lavern Bourne; Raisa B Deber
Journal:  Healthc Policy       Date:  2014-09

7.  Effect of pre-analytical errors on quality of laboratory medicine at a neuropsychiatry institute in north India.

Authors:  Neelam Chhillar; Sarbjeet Khurana; Rachna Agarwal; Neeraj Kumar Singh
Journal:  Indian J Clin Biochem       Date:  2010-11-16

8.  Identifying Preanalytic and Postanalytic Laboratory Quality Gaps Using a Data Warehouse and Structured Multidisciplinary Process.

Authors:  Marsha A Raebel; LeeAnn M Quintana; Emily B Schroeder; Susan M Shetterly; Lisa E Pieper; Paul L Epner; Laura K Bechtel; David H Smith; Andrew T Sterrett; Joseph A Chorny; Ira M Lubin
Journal:  Arch Pathol Lab Med       Date:  2018-12-10       Impact factor: 5.534

9.  Consensus report: the current role of self-monitoring of blood glucose in non-insulin-treated type 2 diabetes.

Authors:  David C Klonoff; Lawrence Blonde; George Cembrowski; Antonio Roberto Chacra; Guillaume Charpentier; Stephen Colagiuri; George Dailey; Robert A Gabbay; Lutz Heinemann; David Kerr; Antonio Nicolucci; William Polonsky; Oliver Schnell; Robert Vigersky; Jean-François Yale
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

Review 10.  Managing the pre- and post-analytical phases of the total testing process.

Authors:  Robert Hawkins
Journal:  Ann Lab Med       Date:  2011-12-20       Impact factor: 3.464

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