QA & QC Chapter Flashcards

1
Q

Accuracy

A

The closeness of agreement of a measured value with the true value

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2
Q

Average

A

The sum of a set of values divided by the number of values in the set; aka the mean

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3
Q

Blind spot

A

An assayed sample that is provided as an unknown to laboratories participating in proficiency testing programs

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4
Q

Calibration

A

The process of checking, standardizing, or adjusting a method or instrument so it yields accurate results

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5
Q

Coefficient of variation

A

Aka CV - a calculated value that compares the relative variability between different sets of data

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6
Q

Controls

A

Commercially available assayed solutions that are chemically and physically similar to the unknown and are tested in the same manner as the unknown to monitor the precision of a test method.

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7
Q

Gaussian curve

A

A graph plotting the distribution of values around the mean normal frequency curve

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8
Q

Levey- Jennings chart

A

A quality control chart used to record daily quality control values.

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9
Q

Mean

A

The sum of a set of values divided by the number of values in the set; the average

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10
Q

Population

A

The entire group of items or individuals from which the samples under consideration are presumed to have come

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11
Q

Precision

A

Reproducibility of results: the closeness of obtained values to each other.

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12
Q

QA

A

Quality assessment - in the laboratory a program that monitors the total testing process with the aim of providing the highest quality patient care. Formally called quality assurance.

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13
Q

QC

A

Quality control - a system that verifies the reliability of analytical test results through the use of standards, control, and statistical analysis.

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14
Q

QS

A

Quality System - in an institution, a comprehensive program in which all areas of operation are monitored to ensure quality with the aim of providing the highest quality patient care.

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15
Q

Random error

A

Error that is inconsistent and whose source cannot be definitely identified

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16
Q

Sample

A

In statics a subgroup of a population

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17
Q

Shift

A

An abrupt change from the established mean indicated by the occurrence of all control values on one side of the mean

18
Q

Standard

A

A chemical solution of a known concentration that can be used as a reference or calibration substance

19
Q

Standard deviation (s)

A

A measure of the spread of a population of values around the mean

20
Q

Statistics

A

The branch of mathematics that deals the collection, classification, analysis, and interpretation of numerical data, a collection of quantitative data

21
Q

Systematic error

A

Error that is introduced into a test system and is not a random occurrence.

22
Q

Trend

A

An indication of error in the analysis, detected by a progressive drift of control values in one direction for at least 5 consecutive runs.

23
Q

Variance ( s^2)

A

The square of the standard deviation, mean square deviation

24
Q

Westgard rules

A

A set of rules used to determine when a method is out of control.

25
What are westgard rules? And what does it mean if rules are failed
If rules are not met, means the test results are rejected. Can not report until method is considered “ in control “ - both controls are outside the +/- 2s limit - the same control level ( concentration) is outside the +/- 2s limit in two successive runs. - controls in four consecutive runs have values greater than 1s all the same direction. - ten consecutive control values fall on one side of the mean.
26
QA in the clinical laboratory
Error can occur at several points during the specimen collection, test performance, and results reporting.
27
TQM
Total Quality management - is a program combining both quality control and quality assessment. This ensures quality throughout the total testing process, from ordering test to entering results on the patient charts.
28
Why is QA so important?
- laboratory results are used to help diagnose . prescribe treatment and monitor the patient progress. - they need to be reliable and the lab WC procedures and results must be documented. - lab techs need to ensure quality results and in order to achieve that the QA program needs to happen with every patient results.
29
List important parts of a QC system
- ensure that certain limits for a test results or product is maintained. - control materials, calibrating instruments, instrument maintenance and repair records, comparison of test methods and reagent preparation.
30
How are results generated in laboratory validated?
- all analytical instruments must be calibrated and control must be run with each set of patient samples. - calibrations can be accomplished either by analyzing solutions of known compositions called standards.
31
Control Serum
- also known as control sera - solution that contains the same constituents as those being analyzed in the patient sample. -
32
What is another name for standard?
reference material
33
Why must standard precautions be followed while using the standards and controls?
- techs can be exposed to bloodborne pathogens while using calibrators and controls. - many of the samples are of human origin and although they are screened for certain pathogens, may still be infectious.
34
Explain how one might have precision without accuracy?
- one could produce results near in value to each other but because an error, the values may be inaccurate / not near the true value.
35
Why use a Gaussian curve? And what is the standard deviation range?
- the curve can be divided into percentage divisions. - in a normal distributed population, 68.2% of all results obtained in the analysis will fall between 1s below the mean and 1s above the mean. - must establish the allowable standard deviation for every test performed in the lab. A 2 standard deviation limit is a common choice.
36
Pre-analytical
errors include misidentifying the patient, collecting a sample of blood at the wrong time, mishandling the specimen.
37
Analytical
errors occur during the test procedure and may be random or systematic.
38
Systematic error
a variation that may make results consistently higher or lower than actual values. Factors that may cause this are deteriorated reagents, mechanical trouble in the instrument, or a peculiarity in worker methodology such as manner of popetting.
39
Random error
- cannot be absolutely identified. - causes variations on either side of the mean. Factors that may contribute is air bubbles in reagent lines, difference in technique among workers and certain specimen characteristics.
40
Post-analytical errors
- errors that occur during results reporting. - Ex. results may be accurate but may be transferred to another patient's records by entering the wrong patient identification number in computer. -Ex. when results are transcribed by hand, the wrong value may be copied from laboratory reports to a patient's chart.