scholarly journals Diagnostic Quality Assurance Pilot

2017 ◽  
Vol 19 (1) ◽  
pp. 1-3 ◽  
Author(s):  
Barbara Zehnbauer ◽  
Catherine Lofton-Day ◽  
John Pfeifer ◽  
Elizabeth Shaughnessy ◽  
Lindee Goh
2007 ◽  
Vol 12 (37) ◽  
Author(s):  
O Donoso-Mantke ◽  
M Niedrig ◽  
on behalf of the ENIVD members

In June 2007, the European Network for Diagnostics of Imported Viral Diseases started an external quality assurance analysis of both serological and molecular methods used for Chikungunya virus detection. Here we give preliminary results regarding the laboratory capacity and diagnostic quality for detection of CHIKV infections in Europe.


1986 ◽  
Vol 32 (5) ◽  
pp. 845-849 ◽  
Author(s):  
P J Compton ◽  
M C Stuart ◽  
L Lazarus

Abstract Laboratories participate in collaborative quality-assurance programs to maintain and improve the quality of their diagnostic assays, but little attention has been paid to diagnostic quality in these programs. We used a national quality-assurance program to assess the quality of laboratory reference intervals as exemplified by triiodothyronine, thyroxin, and thyrotropin immunoassays. The limits of the reference intervals used by laboratories bear virtually no relationship to laboratory bias, i.e., whether assays read "high" or "low." Further, correcting assay results from different laboratories for the reference limits used increases rather than decreases interlaboratory scatter. We conclude that the analytical quality of immunoassays now exceeds the quality of the reference limits supplied to clinicians to assist diagnosis, and that nationally or internationally defined reference limits would therefore provide more information at less cost than do individual laboratory reference limits.


2016 ◽  
Vol 54 (10) ◽  
Author(s):  
Leonid Rumer ◽  
Cristina Domingo ◽  
Oliver Donoso Mantke ◽  
Yuliya Dobrydneva ◽  
Matthias Greiner ◽  
...  

AbstractManagement of viral diagnostic quality is based on external quality assurance (EQA), where laboratories involved in diagnostics of a targeted virus are offered to analyze a panel of blinded samples. The utility of EQAs is compromised because of the absence of an approach to EQA design which upfront defines acceptance criteria and associated statistical analysis ensuring fair and consistent interpretation. We offer a rigorous statistically based approach for EQA planning. Instead of a conventional performance characteristic (the score) which is calculated as the sum of the points for correctly identified samples in a blinded test panel, Youden index is used as the performance measure. Unlike the score, Youden index requires an estimate of sensitivity and specificity and incorporates the relationship of these performance parameters. Based on the assumption that the coordinator is a reputable expert of viral diagnostics, the performance of the coordinator’s laboratory is defined as a proficiency standard for performance evaluation. The immediate goal of EQA is defined as to obtain a statistically reliable estimation for every laboratory whether its performance meets the proficiency standard, while the overall goal is to match every laboratory to its specific performance level. Dependence of informational capacities of test panel from the panel size and content is quantitatively analyzed and the optimal design and informational capacities of both idealized panels (whose size is not restricted by financial factors) and currently feasible panels are considered. Our approach provides the basis both for rational design of currently feasible EQA test panels and for an increased panel size.


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