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Related Experiment Videos

[A model for evaluating internal accuracy].

R Salas1, N López, A Loría

  • 1Dpto. de Control de Calidad, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán.

Revista De Investigacion Clinica; Organo Del Hospital De Enfermedades De La Nutricion
|March 21, 2001
PubMed
Summary

This study introduces a new model for evaluating internal accuracy in clinical chemistry quality control. The model effectively identified inaccuracies in 30% of analytes, aiding in quality improvement.

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Area of Science:

  • Clinical Chemistry
  • Analytical Chemistry
  • Quality Control

Context:

  • Clinical chemistry laboratories perform numerous quantitative assays.
  • Ensuring the accuracy of these assays is critical for patient diagnosis and treatment.
  • Existing quality control methods may not fully dissect sources of accuracy variation.

Purpose:

  • To develop and evaluate a model for assessing internal accuracy in clinical chemistry.
  • To demonstrate the model's application within a quality control program.
  • To identify and quantify sources of inaccuracy in laboratory measurements.

Summary:

  • A novel evaluation model transforms data to percentage of assigned value (%AV) for pooling diverse controls.
  • Precision is assessed via intracontrol coefficients of variation, while accuracy uses mean %AV and standard deviation.

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  • The model analyzed 17,280 measurements across 23 analytes over four years on two automated analyzers, detecting significant inaccuracies and inter-analyzer differences.

    • Impact:

    • The model successfully identified inaccuracies in 5% to 25% for seven analytes, including five enzymes.
    • It revealed inter-analyzer accuracy differences in 22% of analytes and detected erroneous assigned values in 6% of controls.
    • This model offers a valuable tool for quality control programs in any quantitative assay system, enhancing diagnostic reliability.