basics of laboratory internal quality control, ola elgaddar
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Ola H. ElgaddarMBChB, MSc, MD, CPHQ
Lecturer of Chemical PathologyMedical Research Institute
Alexandria [email protected]
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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 allquality-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 actthe PDCA c cle
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In a medical lab, we have three
main stages that need control:
1) Pre-analytical
2) Analytical3) Post-analytical
All of them should be under tight control
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1) Pre-analytical:
Patient & specimen identification
Patient preparation
Specimen collection, transport and handling Monitoring personnel
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2) Analytical:
Internal quality control (IQC)
External quality assessment (EQA)
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IQC is used, on daily basis, in the decision to
accept or reject results of patients samplesand 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
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3) Post-analytical:
Transcriptional errors
Unclear report format or information
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IQC procedures
A stable control material which mimicspatients sample is analyzed(day to day)
Individual measurements are plotted on acontrol chart (Levey Jennings charts)
Evaluationwhether measurement is incontrol (Westgard multi-rules)
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Control material
IFCC defines control material as a solutionanalyzed 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
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1) Matrix:
-BASE from which the control material isprepared.
-Ideally the same matrix as specimen so thatthey behave like a specimen.
- Controls available are HUMAN BASED orBOVINE BASED
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2) Reconstitution:
Liquid / lyophilized (Liquid controls better) Reconstitution material
Quantity of solvent (volume?)
Mixing
Waiting (when to use the reconstitutedcontrol)
Vial to vial variation
(Standardization of these factors necessary)
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3) Stability:
Expiry date and stability after reconstitutionshould be considered
Desirable is one year supply of the samelot, so that the lab can have its own QCrange for a longer period of time.
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4) Assayed / Un-assayed QC:
Assayed QC material are the usually usedtype in our labs
They have manufacturer values for eachinstrument / method
Those values should be considered asguidelines only till each lab establish its ownQC 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 areestablished before it is run routinely.
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5) Appropriate analyte level
The used QC material should be coveringthe measured range of the analyte, both inits normal and pathological range.
It is preferable to have a control value nearthe medical decision level.
Ideally, there are two levels of QC materialused in Chemistry analysis and three levelsfor hormones and tumor markers.
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Plotting QC result onLevey Jennings control chart
Mean and SD of QC material (manufactureror each labs 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
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Evaluating QC results usingWestgard rules
Detects whether results are in control ornot.
Detects the type of laboratory error
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Random error, RE, or imprecision isdescribed as an error that can be eitherpositive or negative, whose direction andexact magnitude cannot be predicted,
where the distribution of results whenreplicate measurements are made on asingle specimen.
Usually, due to error in pippetting
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Systematic error, SE, or inaccuracy is an
error that is always in one direction,displacing the mean of the distribution fromits original value.
In contrast to random errors, systematicerrors are in one direction and cause all thetest results to be either high or low.
Eitherconstant orproportionate
Usually, due to error in calibration
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1 reading exceeding 2 SD
Warning
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1 reading exceeding 3 SD
Random error
Rejection
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2 readings exceeding 2 SD
Systematic error
Rejection
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4 readings exceeding 1 SD, on one side of mean
Systematic error
Rejection
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10 readings on the same side of the mean
Systematic error
Rejection
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2 readings, their sum exceeds 4 SD
Random error
Rejection
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