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A design for interlaboratory quality-control programs

M Lever, D J Munster

    Clinical Biochemistry
    |April 1, 1977
    PubMed
    Summary
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    This study introduces a quality control program for laboratories using paired samples and regression analysis. It helps identify laboratory inaccuracies like imprecision and systematic errors for better accuracy.

    Area of Science:

    • Laboratory Science
    • Analytical Chemistry
    • Quality Control

    Background:

    • Effective interlaboratory quality control is crucial for reliable analytical results.
    • Existing quality control methods may not fully capture systematic errors.
    • A robust system is needed to assess laboratory performance comprehensively.

    Purpose of the Study:

    • To present a novel design for interlaboratory quality control programs.
    • To provide a method for identifying both imprecision and systematic error in laboratory results.
    • To enhance the accuracy and reliability of laboratory testing.

    Main Methods:

    • Dispatching paired specimens to participating laboratories for analysis.
    • Comparing laboratory results against each other and against established reference values.

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  • Utilizing linear regression analysis between laboratory results and reference results.

    • Main Results:

    • Brief reports identify gross imprecision and inaccuracy early.
    • Linear regression analysis quantifies systematic error and imprecision.
    • Statistical data from regression provides a clear assessment of laboratory performance.

    Conclusions:

    • The proposed quality control design effectively identifies laboratory inaccuracies.
    • Linear regression analysis is a powerful tool for assessing systematic error.
    • This program enhances overall laboratory data reliability and accuracy.