Quality Control for Quantitative Tests Flashcards

1
Q

measure the quantity of a particular substance in a sample

A

Quantitative Tests

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2
Q

quality control for quantitative tests is designed to assure that patient results are

A

 accurate
 reliable

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3
Q

material that contains the substance being analyzed

A

Control

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4
Q

used to validate reliability of the test system

A

Control

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5
Q

A substance with a specific concentration

A

Calibrators

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6
Q

A substance similar to patients’ samples that has an established concentration.

A

Controls

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7
Q

A calibrator can become a control

A

False

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8
Q

Used in laboratory conditions

A

Controls

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9
Q

Characteristics of Control Materials

A

◼ appropriate for the diagnostic sample
◼ values cover medical decision points
◼ similar to test sample (matrix)
◼ available in large quantity; ideally enough for one year
◼ can store in small aliquots

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10
Q

Types of Control Materials

A

◼ may be frozen, freeze-dried, or chemically preserved
◼ requires very accurate reconstitution if this step is necessary

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11
Q

Sources of Controls Materials

A

◼ commercially prepared
◼ made “in house”
◼ obtained from another laboratory, usually central or reference laboratory

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12
Q

Target value predetermined
Verify and use

A

Assayed Materials

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13
Q

Target value not predetermined
Full assay required before using

A

Unassayed Materials

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14
Q

In-house pooled sera
Full assay, validation

A

In-house Materials

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15
Q

Choosing Control Materials

A

◼ values cover medical decision points
◼ similar to the test sample
◼ controls are usually available in high, normal, and low ranges

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16
Q

Preparation and Storage of Control Material

A

◼ adhere to manufacturer’s
instructions
◼ keep adequate amount
of same lot number
◼ store correctly

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17
Q

Steps in Implementing Quantitative QC

A

◼ obtain control material
◼ run each control 20
times over 30 days
◼ calculate mean and +/-
1,2,3 Standard Deviations

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18
Q

Normal occurrence when a control is tested repeatedly

A

Variability

19
Q

Variability is affected by:

A

Operator technique (Medtech)
Environmental conditions (Environment)
Performance characteristics of the measurement (Machine)

20
Q

Measures of Central Tendency

A

Mean, Median, Mode

21
Q

the value which occurs with the greatest frequency

22
Q

the value at the center or midpoint of the observations

23
Q

the calculated average of the values

24
Q

Not all central values are the same

25
characteristic “bell-shaped” curve
Normal Distribution
26
used to monitor the accuracy and the precision of the assay.
Quality Control
27
The closeness of measurements to the true value
Accuracy
28
The amount of variation in the measurements
Precision
29
The difference between the expectation of a test result and an accepted reference value
Bias
30
Accurate is always precise
True
31
Precise is not always Accurate
True
32
For a set of data with a normal distribution, a random measurement will fall within:
+ 1 SD 68.3% of the time + 2 SD 95.5% of the time + 3 SD 99.7% of the time
33
principle measure of variability used in the laboratory
Standard Deviation
34
SD expressed as a percentage of the mean.
Coefficient of variation
35
Graphically Representing Control Ranges
Levey-Jennings Chart
36
results with no pattern-only a cause for rejection if outside 2SDs
random error
37
not acceptable, correct the source of error
systematic error
38
control on one side of the mean 6 consecutive days
shift
39
control moving in one direction–heading toward an “out of control” value
trend
40
represents a range of values in which the true value is reasonably expected to lie
Measurement Uncertainty
41
Measurement Uncertainty is estimated at
95% coverage
42
If QC is out of control
STOP testing Do not report patient results until problem is solved
43