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Related Experiment Videos

Quality-control (QC) performance measures and the QC planning process

C A Parvin1

  • 1Department of Pathology, Washington University School of Medicine, St. Louis, MO 63110, USA. parvin@wugcrc.wustl.edu

Clinical Chemistry
|April 1, 1997
PubMed
Summary
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Evaluating quality-control (QC) strategies requires considering the probability of reporting unacceptable test results. This approach determines worst-case QC performance, regardless of error magnitude, simplifying error condition definitions.

Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Quality Control

Background:

  • Traditional quality-control (QC) planning focuses on the probability of rejecting analytical runs during critical errors.
  • Alternative QC performance measures can be evaluated within the total allowable error framework.
  • Existing QC error conditions are often unrelated to those causing the highest probability of unacceptable results.

Purpose of the Study:

  • To introduce and evaluate a performance measure for QC strategies based on the probability of reporting an unacceptable test result.
  • To demonstrate how this measure can simplify QC planning by removing the need for defining critical error conditions.
  • To compare this approach with traditional QC performance metrics.

Main Methods:

  • The study defines a new performance measure: the probability that a reported test result exceeds total allowable error.

Related Experiment Videos

  • It analyzes out-of-control error conditions to identify those most likely to yield unacceptable results.
  • The proposed measure is used to assess worst-case QC performance.

    • Main Results:

    • The probability of reporting an unacceptable test result is a more comprehensive QC performance measure.
    • Worst-case QC performance can be determined without classifying specific critical error conditions.
    • This approach is robust across various magnitudes of out-of-control errors.

    Conclusions:

    • Shifting the primary QC performance measure to the probability of an unacceptable result optimizes QC strategy evaluation.
    • This method enhances QC planning by focusing on patient safety and test result acceptability.
    • The concept of 'critical' out-of-control errors becomes unnecessary with this revised performance metric.