Method Evaluation & Quality Control Flashcards

1
Q

is used to verify the acceptability of new

methods prior to reporting patient results.

A

method evaluation

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2
Q

The foundation for monitoring performance (known

as QC)

A

descriptive statistics

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3
Q

The three most commonly used descriptions of the center of a data set

A

Mean, median, mode

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4
Q

There are four commonly used descriptions of

spread:

A

Range, SD, CV, SDI

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5
Q

the most frequently used

measure of variation.

A

SD

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6
Q

represent the “average” distance from the center of the

data (the mean) and every value in the data set.

A

CV

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7
Q

a calculation to show the number of SDs a value is from the target mean.

A

SDI

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8
Q

Three

factors are generated in a linear regression

A

Slope, y-intercept, correlation coefficient (r)

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9
Q

is a measure of the strength of the

relationship between the two methods.

A

correlation coefficient (r)

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10
Q

indicates that both variables increase and

decrease together,

A

positive r

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11
Q

indicates that as one variable increases,

the other decreases.

A

negative r

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12
Q

An r value of ___ indicates no relationship,

A

0

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13
Q

r = ___

indicates a perfect relationship.

A

1.0

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14
Q

An alternate approach to visualizing paired data is the difference plot, which
is also known as the:

A

Bland-Altman plot

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15
Q

The difference between test and reference method results is called

A

error

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16
Q

is present in all measurements and can be either
positive or negative, typically a combination of both positive and negative errors
on both sides of the assigned target value.

A

Random error

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17
Q

influences observations consistently in one direction

higher or lower

A

Systematic error

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18
Q

exists when there is a
continual difference between the test method and the comparative method
values, regardless of the concentration.

A

Constant systematic error

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19
Q

exists when the differences between the test
method and the comparative method values are proportional to the analyte
concentration.

A

Proportional error

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20
Q

TRUE/FALSE: The CLIA final rule requires

that waived tests simply follow the manufacturer’s instructions.

A

TRUE

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21
Q

Systematic error can be due to constant or proportional error and is estimated
from three types of study:

A

recovery, interference, and COM

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22
Q

Ability of a method to detect small quantities or

small changes in concentration of an analyte.

A

Analytic sensitivity

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23
Q

Ability of a method to detect only the analyte it is

designed to determine, also known as cross-reactivity.

A

Analytic specificity

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24
Q

Also known as linear or dynamic
range. Range of analyte concentrations that can be directly measured
without dilution, concentration, or other pretreatment.

A

AMR (analytic measurement range)

25
Range of analyte that a method can quantitatively report, allowing for dilution, concentration, or other pretreatment used to extend AMR.
CRR (clinically reportable range)
26
Method evaluation begins with a _____
precision study
27
Ability of an analytic test to measure a known amount of | analyte; a known amount of analyte is added to real sample matrices.
Recovery
28
``` Effect of (a) compound(s) on the accuracy of detection of a particular analyte. ```
Interference
29
``` Body component (e.g., fluid and urine) in which the analyte is to be measured. ```
Matrix
30
The purpose of this type of study is to determine how much of the analyte can be detected (recovered) in the presence of all the other compounds in the matrix.
Recovery studies
31
examines patient samples by the method being | evaluated (test method) with a reference method.
COM studies
32
designed to determine if specific compounds affect the | accuracy of laboratory tests.
Interference studies
33
A nonparametric regression method for | comparison studies. It is a robust method that is resistant to outliers.
Passing-Bablok regression
34
Linear regression analysis (orthogonal least squares) used to compare two methodologies using the best fit line through the data points
Deming regression
35
Defines the strength of relationship | between two variables.
Correlation Coefficient (r)
36
Indicates the proportion of | variation explained by one variable to predict another.
Coefficient of Determination (r2 or R2)
37
determined for each test based on the amount of error that will not negatively affect clinical decisions.
Allowable error
38
in the laboratory involves the systematic monitoring of analytic processes to detect analytic errors that occur during analysis and to ultimately prevent the reporting of incorrect patient test results.
Quality Control
39
Threshold at which the value is statistically unlikely.
Control limits
40
Material analyzed only for QC purposes.
Control material
41
QC for general chemistry assays generally uses ____ levels of control, while immunoassays commonly use ____.
two;three
42
TRUE/FALSE: The underlying rationale for running repeated assays is to detect random errors that affect precision.
TRUE
43
With a new instrument or with new lots of control material, the different levels of control material must be analyzed for ____ DAYS
20
44
are the criteria used to decide that a given method meets the clinical requirements.
QC specifications
45
“voice of the customer” “the performance the health care provider needs”
QC specifications
46
“voice of the process” “natural variation of a given test”
QC limits
47
A pair of medical decision points that span the | limits of results expected for a defined healthy population.
Reference interval
48
Subject preparation, prescription medications, collection time, sample storage, stress, food/beverage ingestion
Preanalytic factors
49
Precision, accuracy, lot to lot reagents, linearity, interference, recovery
Analytic factors
50
Statistical test that makes no specific | assumption about the distribution of data.
Nonparametric method
51
Statistical test that assumes the observed values, or some mathematical transformation of those values, follow a (normal) Gaussian distribution
Parametric method
52
To establish a reference interval, it is recommended that the study includes at least ____ individuals.
120
53
1. Changes in reagent formulations by the vendor 2. Minor changes in reagents due to lot to lot variations 3. Differences between reference interval & test popuations-selection bias
Common Problems Encountered when Monitoring | Reference Intervals
54
Ability of a test to detect a given disease or | condition.
Diagnostic sensitivity
55
Ability of a test to correctly identify the absence | of a given disease or condition.
Diagnostic specificity
56
Chance of an individual having a given | disease or condition if the test is abnormal.
Positive predictive value
57
Chance an individual does not have a given | disease or condition if the test is within the reference interval.
Negative predictive value
58
To define an appropriate cutoff, laboratorians often use a graphical tool called the:
receiver operator characteristic (ROC)
59
can be used to determine the most efficient cutoff for | a test and are an excellent tool for comparing two different tests.
ROC curves