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Basics of laboratory quality control




                 Ola H. Elgaddar
              MBChB, MSc, MD, CPHQ
            Lecturer of Chemical Pathology
              Medical Research Institute
                 Alexandria University
            Ola.elgaddar@alex-mri.edu.eg
Total Quality Management (TQM)
      - A continuous approach that seeks to
      improve quality and performance which
      will meet or exceed customer
      expectations.
      - This can be achieved by integrating all
      quality-related functions and processes
      throughout the organization.
      - TQM requires the involvement of
      everyone;
      management, workforce, suppliers, and
      customers (feedback)
      - Divided     into     four   sequential
      categories: plan, do, check, and act
In a medical lab, we have three
main stages that need control:

1) Pre-analytical
2) Analytical
3) Post-analytical

All of them should be under tight control
1) Pre-analytical:

•   Patient & specimen identification
•   Patient preparation
•   Specimen collection, transport and handling
•   Monitoring personnel
2) Analytical:


• Internal quality control (IQC)
• External quality assessment (EQA)
IQC is used, on daily basis, in the decision to
accept or reject results of patients samples
and enables the lab to describe and monitor
the quality of its work.

EQA permits a comparison of quality between
laboratories and thus describes the “state of
the art ” for that area of laboratory work
encompassed by the EQA program .
It is used to confirm results of IQC
3) Post-analytical:


• Transcriptional errors
• Unclear report format or information
IQC procedures
• A stable control material which mimics
  patient’s sample is analyzed (day to day)

• Individual measurements are plotted on a
  control chart (Levey Jennings charts)

• Evaluation whether measurement is “in
  control” (Westgard multi-rules)
Control material
IFCC defines control material as a solution
analyzed solely for Q.C. purpose and not for
calibration

Criteria to be considered:
•   1.   Matrix
•   2.   Reconstitution
•   3.   Stability
•   4.   Assayed or un assayed
•   5.   Appropriate analyte level
1) Matrix:
-BASE from which the control material is
prepared.

-Ideally the same matrix as specimen so that
they behave like a specimen.

- Controls available are HUMAN BASED or
BOVINE BASED
2) Reconstitution:
• Liquid / lyophilized (Liquid controls better)
• Reconstitution material
• Quantity of solvent (volume?)
• Mixing
• Waiting (when to use the reconstituted
  control)
• Vial to vial variation

(Standardization of these factors necessary)
3) Stability:
• Expiry date and stability after reconstitution
  should be considered


• Desirable is one year supply of the same
  lot, so that the lab can have its own QC
  range for a longer period of time.
4) Assayed / Un-assayed QC:
• Assayed QC material are the usually used
  type in our labs
• They have manufacturer values for each
  instrument / method
• Those values should be considered as
  guidelines only till each lab establish its own
  QC range
• Minimum period of time for a lab to
  establish its own range is 20 days
• Ideally, a new QC lot should be run, hand in
  hand with the old lot, its values are
  established before it is run routinely.
5) Appropriate analyte level
• The used QC material should be covering
  the measured range of the analyte, both in
  its normal and pathological range.

• It is preferable to have a control value near
  the medical decision level.

• Ideally, there are two levels of QC material
  used in Chemistry analysis and three levels
  for hormones and tumor markers.
Plotting QC result on
   Levey Jennings control chart
• Mean and SD of QC material (manufacturer
  or each lab’s values)

• Y-axis: control value Vs X-axis: time of run

• Most autoanalyzers plot the
  charts, otherwise they should be drawn
  manually

• A chart is plotted for each control level
Basics of laboratory internal quality control, Ola Elgaddar, 2012
Evaluating QC results using
          Westgard rules

• Detects whether results are “in control” or
  not.

• Detects the type of laboratory error
• Random error, RE, or imprecision is
  described as an error that can be either
  positive or negative, whose direction and
  exact       magnitude         cannot     be
  predicted, where the distribution of results
  when replicate measurements are made on
  a single specimen.
• Usually, due to error in pippetting
• Systematic error, SE, or inaccuracy is an
  error      that    is     always      in one
  direction, displacing the mean of the
  distribution from its original value.
• In contrast to random errors, systematic
  errors are in one direction and cause all the
  test results to be either high or low.
• Either constant or proportionate
• Usually, due to error in calibration
Basics of laboratory internal quality control, Ola Elgaddar, 2012
1 reading exceeding 2 SD
         Warning
1 reading exceeding 3 SD
      Random error
        Rejection
2 readings exceeding 2 SD
     Systematic error
         Rejection
4 readings exceeding 1 SD, on one side of mean
               Systematic error
                   Rejection
10 readings on the same side of the mean
            Systematic error
                Rejection
2 readings, their sum exceeds 4 SD
           Random error
              Rejection
Basics of laboratory internal quality control, Ola Elgaddar, 2012

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Basics of laboratory internal quality control, Ola Elgaddar, 2012

  • 1. Basics of laboratory quality control Ola H. Elgaddar MBChB, MSc, MD, CPHQ Lecturer of Chemical Pathology Medical Research Institute Alexandria University Ola.elgaddar@alex-mri.edu.eg
  • 2. Total Quality Management (TQM) - A continuous approach that seeks to improve quality and performance which will meet or exceed customer expectations. - This can be achieved by integrating all quality-related functions and processes throughout the organization. - TQM requires the involvement of everyone; management, workforce, suppliers, and customers (feedback) - Divided into four sequential categories: plan, do, check, and act
  • 3. In a medical lab, we have three main stages that need control: 1) Pre-analytical 2) Analytical 3) Post-analytical All of them should be under tight control
  • 4. 1) Pre-analytical: • Patient & specimen identification • Patient preparation • Specimen collection, transport and handling • Monitoring personnel
  • 5. 2) Analytical: • Internal quality control (IQC) • External quality assessment (EQA)
  • 6. IQC is used, on daily basis, in the decision to accept or reject results of patients samples and enables the lab to describe and monitor the quality of its work. EQA permits a comparison of quality between laboratories and thus describes the “state of the art ” for that area of laboratory work encompassed by the EQA program . It is used to confirm results of IQC
  • 7. 3) Post-analytical: • Transcriptional errors • Unclear report format or information
  • 8. IQC procedures • A stable control material which mimics patient’s sample is analyzed (day to day) • Individual measurements are plotted on a control chart (Levey Jennings charts) • Evaluation whether measurement is “in control” (Westgard multi-rules)
  • 9. Control material IFCC defines control material as a solution analyzed solely for Q.C. purpose and not for calibration Criteria to be considered: • 1. Matrix • 2. Reconstitution • 3. Stability • 4. Assayed or un assayed • 5. Appropriate analyte level
  • 10. 1) Matrix: -BASE from which the control material is prepared. -Ideally the same matrix as specimen so that they behave like a specimen. - Controls available are HUMAN BASED or BOVINE BASED
  • 11. 2) Reconstitution: • Liquid / lyophilized (Liquid controls better) • Reconstitution material • Quantity of solvent (volume?) • Mixing • Waiting (when to use the reconstituted control) • Vial to vial variation (Standardization of these factors necessary)
  • 12. 3) Stability: • Expiry date and stability after reconstitution should be considered • Desirable is one year supply of the same lot, so that the lab can have its own QC range for a longer period of time.
  • 13. 4) Assayed / Un-assayed QC: • Assayed QC material are the usually used type in our labs • They have manufacturer values for each instrument / method • Those values should be considered as guidelines only till each lab establish its own QC range • Minimum period of time for a lab to establish its own range is 20 days • Ideally, a new QC lot should be run, hand in hand with the old lot, its values are established before it is run routinely.
  • 14. 5) Appropriate analyte level • The used QC material should be covering the measured range of the analyte, both in its normal and pathological range. • It is preferable to have a control value near the medical decision level. • Ideally, there are two levels of QC material used in Chemistry analysis and three levels for hormones and tumor markers.
  • 15. Plotting QC result on Levey Jennings control chart • Mean and SD of QC material (manufacturer or each lab’s values) • Y-axis: control value Vs X-axis: time of run • Most autoanalyzers plot the charts, otherwise they should be drawn manually • A chart is plotted for each control level
  • 17. Evaluating QC results using Westgard rules • Detects whether results are “in control” or not. • Detects the type of laboratory error
  • 18. • Random error, RE, or imprecision is described as an error that can be either positive or negative, whose direction and exact magnitude cannot be predicted, where the distribution of results when replicate measurements are made on a single specimen. • Usually, due to error in pippetting
  • 19. • Systematic error, SE, or inaccuracy is an error that is always in one direction, displacing the mean of the distribution from its original value. • In contrast to random errors, systematic errors are in one direction and cause all the test results to be either high or low. • Either constant or proportionate • Usually, due to error in calibration
  • 21. 1 reading exceeding 2 SD Warning
  • 22. 1 reading exceeding 3 SD Random error Rejection
  • 23. 2 readings exceeding 2 SD Systematic error Rejection
  • 24. 4 readings exceeding 1 SD, on one side of mean Systematic error Rejection
  • 25. 10 readings on the same side of the mean Systematic error Rejection
  • 26. 2 readings, their sum exceeds 4 SD Random error Rejection