Quality indicators to detect pre-analytical errors in laboratory testing.
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| Title: | Quality indicators to detect pre-analytical errors in laboratory testing. |
|---|---|
| Authors: | Plebani, M.1 mario.plebani@unipd.it, Sciacovelli, L.1, Aita, A.1, Padoan, A.1, Chiozza, M.L.2 |
| Source: | Clinica Chimica Acta. May2014, Vol. 432, p44-48. 5p. |
| Subjects: | Bioindicators, Error analysis in mathematics, Laboratory techniques, Clinical pathology, Clinical chemistry, Medical care |
| Abstract: | Abstract: The identification of reliable quality indicators (QIs) is a crucial step in enabling users to quantify the quality of laboratory services. The current lack of attention to extra-laboratory factors is in stark contrast to the body of evidence pointing to the multitude of errors that continue to occur, particularly in the pre-analytical phase. The ISO 15189: 2012 standard for laboratory accreditation defines the pre-analytical phase, and recognizes the need to evaluate, monitor and improve all the procedures and processes in the initial phase of the testing cycle, including those performed in the phase of requesting tests and collecting samples, the so-called “pre-pre-analytical phase”. Therefore, QIs should allow the identification of errors and non-conformities that can occur in all steps of the pre-analytical phase. Traditionally, pre-analytical errors are grouped into identification and sample problems. However, appropriate test requesting and complete request forms are now recognized as fundamental components in providing valuable laboratory services. The model of QIs developed by the Working Group of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) includes indicators related to both identification and sample problems as well as all other pre-analytical defects, including those in test requesting and request forms. It, moreover, provides the framework (with objective criteria) necessary for promoting the harmonization of available QIs in the pre-analytical phase. [Copyright &y& Elsevier] |
| Copyright of Clinica Chimica Acta is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 96245676 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quality indicators to detect pre-analytical errors in laboratory testing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Plebani%2C+M%2E%22">Plebani, M.</searchLink><relatesTo>1</relatesTo><i> mario.plebani@unipd.it</i><br /><searchLink fieldCode="AR" term="%22Sciacovelli%2C+L%2E%22">Sciacovelli, L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Aita%2C+A%2E%22">Aita, A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Padoan%2C+A%2E%22">Padoan, A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chiozza%2C+M%2EL%2E%22">Chiozza, M.L.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Clinica+Chimica+Acta%22">Clinica Chimica Acta</searchLink>. May2014, Vol. 432, p44-48. 5p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Bioindicators%22">Bioindicators</searchLink><br /><searchLink fieldCode="DE" term="%22Error+analysis+in+mathematics%22">Error analysis in mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Laboratory+techniques%22">Laboratory techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Clinical+pathology%22">Clinical pathology</searchLink><br /><searchLink fieldCode="DE" term="%22Clinical+chemistry%22">Clinical chemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care%22">Medical care</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: The identification of reliable quality indicators (QIs) is a crucial step in enabling users to quantify the quality of laboratory services. The current lack of attention to extra-laboratory factors is in stark contrast to the body of evidence pointing to the multitude of errors that continue to occur, particularly in the pre-analytical phase. The ISO 15189: 2012 standard for laboratory accreditation defines the pre-analytical phase, and recognizes the need to evaluate, monitor and improve all the procedures and processes in the initial phase of the testing cycle, including those performed in the phase of requesting tests and collecting samples, the so-called “pre-pre-analytical phase”. Therefore, QIs should allow the identification of errors and non-conformities that can occur in all steps of the pre-analytical phase. Traditionally, pre-analytical errors are grouped into identification and sample problems. However, appropriate test requesting and complete request forms are now recognized as fundamental components in providing valuable laboratory services. The model of QIs developed by the Working Group of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) includes indicators related to both identification and sample problems as well as all other pre-analytical defects, including those in test requesting and request forms. It, moreover, provides the framework (with objective criteria) necessary for promoting the harmonization of available QIs in the pre-analytical phase. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Clinica Chimica Acta is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.cca.2013.07.033 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 44 Subjects: – SubjectFull: Bioindicators Type: general – SubjectFull: Error analysis in mathematics Type: general – SubjectFull: Laboratory techniques Type: general – SubjectFull: Clinical pathology Type: general – SubjectFull: Clinical chemistry Type: general – SubjectFull: Medical care Type: general Titles: – TitleFull: Quality indicators to detect pre-analytical errors in laboratory testing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Plebani, M. – PersonEntity: Name: NameFull: Sciacovelli, L. – PersonEntity: Name: NameFull: Aita, A. – PersonEntity: Name: NameFull: Padoan, A. – PersonEntity: Name: NameFull: Chiozza, M.L. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 00098981 Numbering: – Type: volume Value: 432 Titles: – TitleFull: Clinica Chimica Acta Type: main |
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