CH. 2 - Quality Assurance

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52 Terms

1

Quality

Implies the ability to provide accurate, reproducible assay results that offer clinically useful information

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2

Reliability

This requires vigilance and effort on the part of all laboratory professionals

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3

Quality Assurance

  • Defined as "part of quality management focused on providing confidence that quality requirements will be fulfilled.”

  • This is the broader concept, encompassing pre-analytical, analytical, and post-analytical variables.

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4

Pre-pre

Laboratory assay utilization and physician test ordering patterns

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5

Post-post

Analytical variables, and the appropriate application of laboratory assay results

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6

Null hypothesis

It states that there is no difference between or among the means or variances of the populations being compared

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7

Alternative (research) hypothesis

It is the logical opposite of the null hypothesis

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8

Power (P)

  • Defined as its ability to reject the null hypothesis when the null hypothesis is false.

  • Determined by the sample size (number of data points, n), the design of the research study, and the study’s ability to control for extraneous variables

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9

Mean

It is a standard expression of central tendency employed in most scientific applications

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10

Median

  • It is the data point that separates the upper half from the lower half of a data set.

  • It is a robust expression of central tendency in a skewed distribution because it minimizes the effects of outliers

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11

Mode

  • It is the data point that appears most often in the sample

  • It is NOT a true measure of central tendency

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12

Variance (σ2)

It expresses the deviation of each data point from its expected value, usually the mean of the data set (sample) from which the data point is drawn

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13

Standard deviation (SD)

  • It is a commonly used measure of dispersion

  • This is the square root of the variance and is the mean distance of all the data points in a sample from the sample mean

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14

Coefficient of variation (CV)

  • It is the normalized expression of the SD, ordinarily articulated as a percentage.

  • It is also the most commonly used measure of dispersion in laboratory medicine.

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15

Accuracy

Measure of agreement between an assay value and the theoretical “true value” of its analyte

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16

Precision

It is established by using repeated within-day, and day-to-day assays, then computing the mean, standard deviation (SD), and coefficient of variation (CV) of the results

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17

Linearity

It is the ability to generate results proportional to the calculated concentration or activity of the analyte

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18

Analytical Sensitivity (LLOD)

These assays are coupled with linearity and AMR studies

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19

Analytical Specificity

It is the ability of an assay to distinguish the analyte of interest from anticipated interfering substances within the specimen matrix.

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20

6

The recalibration interval may be once every __ months.

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21

Recalibration

This is necessary whenever reagent lots are updated.

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22

Once

In the lab, the controls should be run at least ______ per shift.

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23

Levey-Jennings Chart

It assumes that the control results distribute in a Gaussian manner and imprint limits at 1, 2, and 3 SD above and below the mean

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24

Dr. James Westgard

He established a series of internal QC rules that are routinely applied to long term deviations, called the Westgard rules

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25

(δ) Delta-check system

It compares a current analyte result with the result from the most recent previous analysis for the same patient

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26

External Quality Assessment

It validates the accuracy of hematology and hemostasis assays by comparing results from identical aliquots of specimens distributed at regular intervals among laboratories nationwide or worldwide

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27
  • Preserved human subject plasma and whole blood

  • Stained peripheral blood films

  • Bone marrow smears

  • Photomicrographs of cells or tissues

Examples of survey or proficiency testing specimens:

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28

Diagnostic efficacy testing

It includes determination of diagnostic sensitivity and specificity, positive and negative predictive value, and receiver operating characteristic (ROC) analysis

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29

False positives

Results are generated from non-disease specimens

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30

False negatives

Results are generated from specimens taken from patients with proven disease

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31

Prevalence

  • The total number of events or conditions in a broadly defined population.

  • Quantitates the burden of disease on society but is not qualified by time intervals and does not predict disease risk

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32

Incidence

  • The number of events occurring within a randomly selected number of subjects representing a population, over a defined time.

  • Numbers are non-cumulative.

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33

ROC curve

A further refinement of diagnostic efficacy testing that may be employed to determine the decision limit (cutoff, threshold) for an assay when the assay generates a continuous variable.

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34

Dr. Brian Bull

He proposed a method of employing patient RBC indices to monitor the stability of automated blood cell analyzers

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35

Screening test

It is an assay that is applied to a large number of subjects within a convenience sample where the participant’s condition is unknown

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36

Proficiency testing

All conscientious laboratory directors subscribe to an external quality assessment system, also known as?

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37

Moving average algorithm

GUIDE QUESTION:

What procedure is NOT employed to validate a new assay?

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38

Constant systematic error

GUIDE QUESTION:

You validate a new assay using linear regression to compare assay calibrator results with the distributor’s published calibrator results. The slope is 0.99 and the y intercept is 110%. What type of error is present?

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39

Student t-test

GUIDE QUESTION:

Which is a statistical test that compares means?

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40

Precise but not accurate

GUIDE QUESTION:

The acceptable hemoglobin control value range is 13 6 0.4 g/dL. The control is assayed five times and produces the following five results: 12.0 g/dL 12.3 g/dL 12.0 g/dL 12.2 g/dL 12.1 g/dL

These results are:

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41

5400 to 6600/mL

GUIDE QUESTION:

A WBC count control has a mean value of 6000/mL and an SD of 300/mL. What is the 95.5% confidence interval?

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42

Analytical specificity

GUIDE QUESTION:

The ability of an assay to distinguish the targeted analyte from interfering substances within the specimen matrix is called:

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43

Laboratory-developed test

GUIDE QUESTION:

The laboratory purchases reagents from a manufacturer and develops an assay using a protocol published in a volume of the Methods in Molecular Biology series. How would the FDA classify this assay?

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44

Distribution of proficiency materials to all sites

GUIDE QUESTION:

What process ensures comparability in multi-site validation?

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45

Establishing the RI by transference

GUIDE QUESTION:

A laboratory scientist measures prothrombin time for plasma aliquots from 15 healthy men and 15 healthy women. She computes the mean and 95.5% confidence interval and notes that they duplicate the manufacturer’s statistics within 5%. This procedure is known as:

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46

Control

GUIDE QUESTION:

You purchase a preserved whole blood specimen from a distributor who provides the mean values for several complete blood count analytes. What is this specimen called?

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47

College of American Pathologists (CAP)

GUIDE QUESTION:

What agency provides external quality assurance (proficiency) surveys and laboratory accreditation?

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48

American Society for Clinical Laboratory Science (ASCLS)

GUIDE QUESTION:

What agency provides continuing medical laboratory education?

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49

Preanalytical quality assurance

GUIDE QUESTION:

Regular review of blood specimen collection quality is an example of:

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50

Postanalytical quality assurance

GUIDE QUESTION:

Review of laboratory report integrity is an example of:

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51

Area under the curve

GUIDE QUESTION:

When performing a receiver operating curve analysis, what parameter assesses the overall efficacy of an assay?

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52

Proficiency testing

GUIDE QUESTION:

You require your laboratory staff to annually perform manual lupus anticoagulant profiles on a set of plasmas with known values. This exercise is known as:

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