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Clinical Chemistry 43: 2149-2154, 1997;
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(Clinical Chemistry. 1997;43:2149-2154.)
© 1997 American Association for Clinical Chemistry, Inc.

Articles

Effect of analytical run length on quality-control (QC) performance and the QC planning process

Curtis A. Parvina and Ann M. Gronowski

a Author for correspondence. Fax 314-362-3016; e-mail parvin{at}wugcrc.wustl.edu

The performance measure traditionally used in the quality-control (QC) planning process is the probability of rejecting an analytical run when an out-of-control error condition exists. A shortcoming of this performance measure is that it doesn't allow comparison of QC strategies that define analytical runs differently. Accommodating different analytical run definitions is straightforward if QC performance is measured in terms of the average number of patient samples to error detection, or the average number of patient samples containing an analytical error that exceeds total allowable error. By using these performance measures to investigate the impact of different analytical run definitions on QC performance demonstrates that during routine QC monitoring, the length of the interval between QC tests can have a major influence on the expected number of unacceptable results produced during the existence of an out-of-control error condition.




The following articles in journals at HighWire Press have cited this article:


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C. A. Parvin and S. Robbins III
Evaluation of the Performance of Randomized versus Fixed Time Schedules for Quality Control Procedures
Clin. Chem., April 1, 2007; 53(4): 575 - 580.
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J. Dechert and K. E. Case
Multivariate approach to quality control in clinical chemistry
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S. P. Caudill, G. R. Cooper, S. J. Smith, and G. L. Myers
Assessment of current National Cholesterol Education Program guidelines for total cholesterol, triglyceride, HDL-cholesterol, and LDL-cholesterol measurements
Clin. Chem., August 1, 1998; 44(8): 1650 - 1658.
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Copyright © 1997 by the American Association for Clinical Chemistry.