Module 3 Flashcards

1
Q

What are properties of controls?

A

Number of analytes- single or multi

Concentration of analytes- different levels run

Matrix- should be same as patient sample

Liquid or lyophilized

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2
Q

What is a control range?

A

Acceptable range of QC values that accounts for normal day to day variations

If a value falls out of the range it indicates an error in the analytical system

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3
Q

How is a control range established?

A

Control sample is run repeatedly (min of 20 measurements over 10 days for initial range)

Mean and SD are calculated

Control limits are calculated- 1s, 2s, 3s (outliers are excluded if there’s less than 2)

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4
Q

What range is most often selected for control range limits and why?

A

2s

95% confidence interval

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5
Q

What is a quality control chart used for?

A

To quickly document, inspect and review control data

Graphical representation of observed control values to the expected results or control limits

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6
Q

What is the most common type of control chart?

A

Levey-Jennings

Each control level has its own chart

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7
Q

What must be done if a control value falls outside the control range?

A

Value must be clearly indicated

Value must be trouble shot, evidence of corrective action must be recorded

When the issue is resolved controls and patient samples are rerun

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8
Q

What types of error are there?

A

Random- unpredictable sources, positive or negative, any magnitude, increased scatter, decreased precision

Systematic- sources that produce consistent effects, one direction only, magnitude and direction may be predictable, can represent a shift or a trend, decreased accuracy

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9
Q

What are some cause of random error?

A

Bubbles or leaks

Poor mixing

Unstable temp or power supply

Poor technique

Dirty or damaged probes

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10
Q

What are some causes of systematic error?

A

Change in lot numbers

Deterioration of calibrators, controls or reagent

Deterioration of instrument components

Improperly prepared calibrators, controls or reagents

Overdue maintenance

Improperly performed maintenance

Overdue calibration

Environmental changes

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11
Q

What is multi rule QC?

A

A way to minimize the chances of false rejections while maintaining high levels of error detection

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12
Q

What is the principle of Westgard rules?

A

Control rules are associated with control values displaying certain patterns

Established parameters aid in detecting errors while minimizing false rejections and repeat runs

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13
Q

How can Westgard rules be described?

A

Within runs- only a single run of a control level or within one run of two levels ran at the same time

Across runs- occurs over more than one run

Within controls- violation by only one level of control

Across controls- violation including multiple control levels

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14
Q

What are the Westgard rules?

A

1-2s

1-3s

2-2s

R4s

4-1s

10x

7T

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15
Q

What are the characteristics of the 1-2s rule?

A

Random error

One result outside 2s

Further inspection

No rejection

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16
Q

What are the characteristics of the 1-3s rule?

A

One result outside of 3s

Random error (or large systematic)

Rejection

17
Q

What are the characteristics of the 2-2s rule?

A

Two consecutive results outside 2s

Can be across runs or control levels

Systematic error

Rejection

18
Q

What are the characteristics of the R4s rule?

A

4s spread between results across control levels

Random error

Rejection

19
Q

What are the characteristics of the 4-1s rule?

A

Four consecutive results a outside 1s

Can apply across runs and levels

Systematic error

Rejection

20
Q

What are the characteristics of the 10x rule?

A

10 consecutive results on one side of the mean

Across runs and levels

Systematic error

Rejection

21
Q

What are the characteristics of the 7T rule?

A

7 consecutive results all trending in the same direction

Systematic error

Rejection

22
Q

What happens when controls are run more frequently?

A

Errors are more likely to be detected

Greater chance of false rejection

23
Q

What is the intent of multi rule QC?

A

Allow high level or error detection (probability of error detection, Ped)

Avoid too many false rejections (probability of false rejection, Pfr)

Pfr90%

24
Q

What is a power function graph?

A

Plot of the relationship between error detection and false rejection

Assists in deciding the appropriate number of controls and rules

25
Q

What is the difference between statistical and nonstatistical quality control?

A

Statistical- use of controls and QC charts to monitor performance of analytical methods and assess the validity of patient test results, detects error in procedures

Nonstatistical- procedures that maintain and improve performance, doesn’t actually monitor test result production, supports ability to ensure results are valid