2017
DOI: 10.1371/journal.pone.0187263
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Internal quality assurance in diagnostic microbiology: A simple approach for insightful data

Abstract: Given the importance of microbiology results on patient care, high quality standards are expected. Internal quality assurance (IQA) could mitigate the limitations of internal quality control, competency assessment and external quality assurance, adding a longitudinal insight, including pre- and post-analytical steps. Here, we implemented an IQA program in our clinical microbiology facilities with blind resubmission of routine samples during 22 months. One-hundred-and-twenty-one out of 123 (98.4%) serological a… Show more

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Cited by 13 publications
(7 citation statements)
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References 41 publications
(49 reference statements)
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“…The first kind of variability (inter-laboratory) was studied and assessed through the trials in synthetic must. Inter-laboratory variability is caused by several factors, including laboratory personnel, metrics, reliability of tools, and equipment ( Scherz et al, 2017 ), which could be due to systematic bias; however, there is also a casual source of errors, which must be characterized and weighted because it is responsible of the uncertainty of the measure ( UNODC, 2009 ). The causal error cannot be completely avoided, but it should be within acceptable limit because results from different laboratories should not be significantly different when using the same conditions and the same setup.…”
Section: Resultsmentioning
confidence: 99%
“…The first kind of variability (inter-laboratory) was studied and assessed through the trials in synthetic must. Inter-laboratory variability is caused by several factors, including laboratory personnel, metrics, reliability of tools, and equipment ( Scherz et al, 2017 ), which could be due to systematic bias; however, there is also a casual source of errors, which must be characterized and weighted because it is responsible of the uncertainty of the measure ( UNODC, 2009 ). The causal error cannot be completely avoided, but it should be within acceptable limit because results from different laboratories should not be significantly different when using the same conditions and the same setup.…”
Section: Resultsmentioning
confidence: 99%
“…Differences affected several antibiotic classes. An internal quality control study in Switzerland found that even in highresource settings 14% of samples were not accurately retested in the same microbiological laboratory and 3% of tested antibiotics were interpreted differently (25). By the time of the study, internal quality controls including sterility tests were in place, but commercially available quality control strains were not established.…”
Section: Discussionmentioning
confidence: 99%
“…Repeated testing on identical samples is a recognized method for internal quality assurance, which can lead to the identification of systematic or sporadic vulnerabilities in microbiology laboratories (27). In the present quality monitoring, different samples from the same patient were compared, similarly to the “Delta check” routinely applied in clinical chemistry laboratories.…”
Section: Discussionmentioning
confidence: 99%