Basic QC Stastics

Basic QC Stastics

Basic QC Stastics

Product catalog summary
Introduction
Quality Control (QC) in laboratories is crucial for ensuring accurate patient diagnoses and treatments, as 60-70% of medical decisions are based on lab results. QC processes monitor and evaluate laboratory procedures to detect and correct deficiencies before patient results are released.

Types of Quality Control
External Quality Assessment (EQA): EQA compares a laboratory's performance with others using the same methods through blind sampling, providing an accuracy benchmark.
Internal Quality Control (IQC): IQC involves daily QC operations within the lab, comparing results to predetermined target values to ensure accuracy before releasing patient results.

Importance of Running QC
Failure to run adequate QC can lead to patient misdiagnosis, treatment delays, inappropriate treatments, and increased costs due to retests. In the US, avoidable retests cost $200 million annually.

Frequency of QC
The frequency of QC depends on factors like test volume, risk level, staff competency, and method stability. ISO 15189 recommends QC frequency based on procedure stability and patient risk.

Basic QC Statistics
Mean ( ): Used to identify the 'true value' of data points. A minimum of 20 data points is recommended for establishing the mean.
Standard Deviation (SD): Measures data dispersion around the mean, indicating precision. A 2SD range is commonly used for result acceptability.
Coefficient of Variation (CV): Expresses SD as a percentage of the mean, allowing precision comparison across different concentrations.

Levey-Jennings Charts
These charts use the mean and ±3SD range to identify trends, biases, and precision issues in QC data, helping laboratories troubleshoot problematic tests.

Complete QC Process
1. Establish mean and performance limits.
2. Run daily QC material.
3. Create a Levey-Jennings Chart.
4. Evaluate QC data before releasing patient results.

Randox Laboratories
Randox provides multi-analyte third-party controls, reducing costs and storage needs while ensuring unbiased performance assessment. Their Acusera range meets ISO 15189:2012 requirements and offers flexibility for various laboratory sizes and budgets.

Software Features
Acusera 24•7 software aids in QC data monitoring and interpretation, offering features like interactive charts, automatic calculation of performance metrics, and real-time peer group statistics.
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Catalog excerpts

Basic QC Stastics-1

EDUCATIONAL GUIDE Basic QC Statistics QUALITY CONTROL

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Basic QC Statistics qual-ity con-trol - noun A system of maintaining standards in manufactured products by testing a sample of the output against the specification. (Oxford Dictionary; Oxford Universities Press 2013) When testing patient samples the outcome of the result will often be used to diagnose the patient, with an estimated 60 to 70% of all decisions regarding a patient’s diagnosis and treatment based on laboratory test results. As a consequence, the quality of laboratory work is of the utmost importance in ensuring patients are correctly diagnosed and administered the appropriate treatment....

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How Often Should We Run QC? How often a laboratory should run QC will be very much dependant on the individual lab and their processes. Many factors will determine this, such as: • The quantity of tests run per day • Which tests are higher risk and have a higher impact if results are erroneous • Experience and competency of laboratory staff • The instrument, reagent and method in use • Available time between QC evaluations • Which assays are more stable compared to others It is often recommended that QC is run at the beginning and end of each analytical run or when a batch of reagents is changed....

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Working Examples of Standard Deviation The individual results in example A and example B are significantly different and yet they have the same . SD can be used to distinguish between the sets of data by assessing the variability of the values around the . The SD for example B is much larger than that for example A as the values are more spread out about the . Example A illustrates a set of data with a close distribution around the representing better precision or result reproducibility producing a lower standard deviation. Ranges & Limits Limits for data acceptability are defined using the and...

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The following equation is used to measure CV: A CV is a measure of variability and precision. This takes into consideration the magnitude of the overall result and expresses the SD as a percentage of the mean. This calculation will therefore allow comparison of precision at different concentrations of patient testing. The lower the %CV the better the precision. CV = Coefficient of Variation SD = Standard Deviation = Mean result Levey-Jennings Charts Using the and ±3s range a Levey-Jennings Chart can be created for each test. Levey-Jennings Charts will alert a laboratory to any identifiable trends,...

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ACUSERA True third party quality controls As a world leading manufacturer of multi-analyte true third party controls, thousands of laboratories rely on Randox to accurately assess test system performance and ultimately empower them with the confidence required to release patient test results. With more than 390 analytes available, the number of individual controls required to cover your test menu is significantly reduced while simultaneously reducing costs, time and storage space. A choice of formats is available, including liquid or lyophilised, which ensures flexibility and suitability for...

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ACUSERA 24•7 Interlaboratory Data Management Designed for use with the Acusera range of third party controls, the Acusera 24•7 software helps laboratories monitor and interpret their QC data. Access to an impressive range of features, including interactive charts, the automatic calculation of Measurement Uncertainty & Sigma Metrics and live peer group data generated from our extensive database of laboratory participants, ensures Acusera 24•7 is the most comprehensive package available. • Advanced statistical analysis with automatic calculation of performance metrics including; Sigma, UM, TE &...

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Copyright © 2019 Randox Laboratories Ltd. All rights Reserved. VAT number: GB 151682708. Product availability may vary from country to country. Some products may be for Research Use Only. For more information on product application and availability, please contact your local Randox Representative.

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