Podcast
Questions and Answers
The Levey-Jennings Diagram displays scattered values for inaccurate and imprecise data.
The Levey-Jennings Diagram displays scattered values for inaccurate and imprecise data.
False
Expired controls or reagents can cause a trend in the measurements.
Expired controls or reagents can cause a trend in the measurements.
True
A sudden shift in values indicates a change in the instrument's calibration.
A sudden shift in values indicates a change in the instrument's calibration.
False
Imprecise data is characterized by values that are far from the target value.
Imprecise data is characterized by values that are far from the target value.
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Verifying the instrument's calibration is part of preventative maintenance.
Verifying the instrument's calibration is part of preventative maintenance.
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A trend in the measurements is always caused by an instrument drift.
A trend in the measurements is always caused by an instrument drift.
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Accurate data is characterized by values that are close to the target value.
Accurate data is characterized by values that are close to the target value.
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A shift in values can be caused by a change in the laboratory environment.
A shift in values can be caused by a change in the laboratory environment.
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Hematology analyzers do not require quality control to ensure valid patient results.
Hematology analyzers do not require quality control to ensure valid patient results.
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Instrument manufacturers typically supply hematology controls with only one level designed to resemble patient samples.
Instrument manufacturers typically supply hematology controls with only one level designed to resemble patient samples.
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Quality control in hematology is only necessary for accreditation purposes.
Quality control in hematology is only necessary for accreditation purposes.
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The main purpose of internal QC is to monitor the analytical process only.
The main purpose of internal QC is to monitor the analytical process only.
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Accuracy and precision are interchangeable terms in hematology controls.
Accuracy and precision are interchangeable terms in hematology controls.
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Hematology controls cover only a few blood parameters.
Hematology controls cover only a few blood parameters.
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Quality control samples are only used for five-part differential analysis.
Quality control samples are only used for five-part differential analysis.
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Internal QC is not necessary for laboratories to establish their own QC program.
Internal QC is not necessary for laboratories to establish their own QC program.
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Study Notes
Importance of Quality Control in Hematology
- Hematology controls ensure precise and accurate patient results, meeting accreditation requirements
- Daily measurement of quality control samples is obligatory for intra-instrument quality control
Types of Hematology Controls
- Controls with assayed values for three-part and five-part differential analysis as well as erythrocyte sedimentation controls are available
- They cover multiple blood parameters, including erythrocytes, platelets, granulocytes, lymphocytes, monocytes, hematocrit, hemoglobin, and many more
Purposes of Internal Quality Control (QC)
- Monitoring of the analytical process
- Detection of errors due to system failure, adverse environmental conditions, or operator performance
- Monitoring of long-term test performance
- Providing proof of adequate long-term quality level and complying with regulatory requirements
Accuracy and Precision in Hematology Controls
- Accuracy refers to the ability to achieve the right result
- Precision refers to the ability to achieve the same result over and over again
- Four possible scenarios can occur with hematology controls: accurate and precise, not accurate and precise, not accurate but precise, and accurate but not precise
Scenarios of Accuracy and Precision
1. Accurate and Precise
- Ideal scenario with accurate and precise values
- Levey-Jennings Diagram shows a constant line around the mean
2. Not Accurate and Precise (Trend)
- Neither accurate nor precise values
- Levey-Jennings curve shows a trend, indicating a drift of the instrument
- Possible causes: incorrect use of controls or reagents, expired materials, approaching calibration date, or need for preventative maintenance
3. Not Accurate but Precise (Shift)
- Sudden shift in values
- Precise measurements but not accurate
- Possible causes: part change, reagent lot number change, or environmental changes
4. Accurate but Not Precise (Imprecision)
- Accurate mean value but varying measurements
- Several conditions can cause imprecision
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Description
Learn about the importance of quality control in hematology, including types of controls and their role in ensuring accurate patient results.