Kallner A

Language: English
References: 7
Page: 25-29
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Measurement performance

Laboratory measurement performance needs to be estimated in a uniform and standardized manner to allow comparison of results and become scientifically valid. A much-used measure is the variation of repeated measurements and the agreement of the result with a reference or true value. There are thus principally two types of variation of results of measurements, systematic and random. Information on both types needs to be attached to the result of the measurement; that information shall be informative and understood by the end-users. Provided some rules are observed that can be achieved by relying on the concept of uncertainty.

REFERENCES

1. Guide to the expression of uncertainty in measurement. Geneva: ISO; 1993.

2. Eurachem/Citac. Guide quantifying uncertainty in analytical measurement 2000. Available from: URL: http//: www.eurachem.ul.pt (visited 11-03-07).

3. EA. Guidelines on the expression of uncertainty in quantitative testing (EA 4-16). 2004 Available from: URL: http//: www.european-accreditation.org (visited 11-03-07).

4. Australasian Association of Clinical Biochemists. Uncertainty of measurement in quantitative medical testing 2004. Available from: URL: http//: www.AACB.au (visited 11-03-07).

5. Kallner A, Khorovskaya L, Pettersson T. A method to estimate the uncertainty in measurements in a conglomerate of laboratories/instruments. Scand J Clin Lab Med. 2005; 65: 551-567.

6. Clinical and Laboratory Standards Institute. User Verification of Performance for Precision and Trueness; Aproved Guideline – Second Edition. CLSI document EP15-A2(e) [ISBN 1-56238-574-7].

7. Ricos C, Álvarez F, Cava F, García-Lacio JV, Hernández A, Jiménez CV, et al. Current databases on biological variation; pros, cons and progress. Scan J Clin Lab Invest. 1999; 59: 491-500. Table updated on the homepage of Dr J Westgard, available from: URL: HTTP//:www.westgard.com (visited 11-03-07).