2. QC Flashcards

1
Q

variable that can assume any value within the range of scores that define the limits of the variable

A

continuous

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Assume a defined set of integers

A

discrete

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Values fall into unordered categories or classes

A

nominal/categorical

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Numbers that are discrete and ordered (ranked)

A

ordinal data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Mean, range, variability, and distribution of a data set

A

descriptive statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Concerned with the relationship among different sets or samples of data

A

inferential statistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

The closeness of the agreement between the measured value of an analyte to its “true” value.

A

accuracy

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

procedures used to measure accuracy

A

Comparison of methods
Testing proficiency samples
Recovery experiments

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

calculate system’s bias

A

known value - result

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

describe recovery experiment

A

small amount of concentrtated analyte is spiked into patient sample
percent recovery is found

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

percent recovery

A

% recovery = (spiked result - baseline result)/analyte added

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

A systematic error in a method or error caused by some artifact or idiosyncrasy of the measuring system.

Presence of nonrandom events.

A

bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Ability to produce the same value for replicate measurements of the same sample.

A

precision

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

how to measure precision

A

Validated by running the same sample multiple times

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Closeness of agreement between results of successive measurements carried out under the same conditions

A

within-run analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Closeness of agreement between results of measurements performed under changed conditions of measurements

A

between-run analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

normal curve around QC mean reflects that…

A

most of your results fall around the predictive value, but some do not.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

SD is a measure of…

A

dispersion

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

A range around an experimentally determined statistic that has a known probability of including the true parameter

A

confidence interval

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

A statistical measure of the dispersion of data points around the mean

Reflection of precision
Measure of variability

A

Coeffecient of variation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

statistical equalizer

A

CV

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

variance =

A

s^2 = 𝛴(x - mean)^2

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

SD to CV

1
2
3

A

68%
95%
99%

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

standard deviation

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Q

Defined to be an observation with a large random error

A

outlier

26
Q

examples of random errors

A

Temperature fluctuations
unstable instrumentation
changes in reagents
variation in manual techniques (pipetting, mixing, timing)
operator variations

27
Q

random error affects…
systematic error affects…

A

precision
accuracy

28
Q

Consistently low or high by the same amount over the entire concentration range

A

constant systematic error

29
Q

constant systematic error caused by…

A

Contaminants in the reagent that affect the results by the same amount in all samples

30
Q

Consistently low or high by an amount proportional to the concentration of the analyte.

A

proportional systematic error

31
Q

proportional systematic error caused by…

A

Incorrect assignment of the amount of analyte in the calibrator.

Side reactions of the analyte

32
Q

Management philosophy for organizational development and a management process for improving the quality of workmanship

A

total quality management (TQM)

33
Q

Purpose is to “substantiate the continued accuracy of the test system throughout the laboratory reportable range of the test results for the test system.”

A

calibration

34
Q

Refers to procedures for monitoring and evaluating the quality of the analytical testing process of each method to ensure the accuracy and reliability of patient test results and reports.

A

quality control

35
Q

factors to consider when selecting QC materials (5)

A
  • The materials must be stable.
  • The materials must be available in aliquots or vials.
  • The materials can be analyzed periodically over a long span of time.
  • There is little vial-to-vial variation.
  • The concentration of analyte should be in the normal and abnormal ranges.
36
Q

3 forms of QC materials

A
  • lyophilized or freeze-dried pooled
  • frozen pooled
  • liquid pooled
37
Q

———- QC material has target values that are determined by the manufacturer.
———– QC material has no predetermined target values.

A

assayed
unassayed

38
Q

Show the difference between the observed values and the expected mean

A

Levey-Jennings control charts

39
Q

2 values 4 SDs away (one +, one =)

A

R4s violation

40
Q

10 values above or below mean

A

10x violation

41
Q

4 values 1SD away

A

41s violation

42
Q

3 potential causes of a trend

A

Reagents begin to deteriorate

Light source continually diminishes in luminescent intensity

Monochromatic filter becomes delaminated

43
Q

4 potential causes of a shift

A

Change in incubation temperature
Contamination of reagents
Changes in calibrator values
Changes in pipette volumes

44
Q

trend of 7 points

A

7T violation

45
Q

advantages of QC computer programs

A

Real-time review
Early detection of Q C problems
Documentation of the Q C process

46
Q

questions to ask when patient results change suspiciously

A

Does this deviation from normal represent a bias in the assay?

Is this shift in assay results for this patient a result of a treatment or procedure?

Do these results correlate with other same assay testing? (Glucose: POC, Heme & BB: transfusion, dilution)

47
Q

steps taken toward QC problem resolution

A
  1. Rerun that same aliquot
  2. Pour fresh QC aliquot
  3. New vial of QC material
  4. Look for obvious problems (Clots, low reagent levels, mechanical faults)
  5. Recalibrate
  6. Involve QC supervisor, and/or instrument support.
48
Q

AMR is taken over the…

A

range of linearity

49
Q

axes for finding linearity/AMR

A

Concentrations of analytes on x-axis
instrument response on y-axis

50
Q

Range of analyte concentrations that can be directly measured without dilution, concentration, or other pretreatment.

A

analytical measurement range (AMR)

51
Q

Range of analyte concentration that can be released after performing dilutions, concentrations, or other pretreatments.

A

clinical reportable range (CRR)

52
Q

This range includes all the data points that define the range of observations for a healthy population.

A

reference range (RR)
therapeutic range for drugs

53
Q

laboratory results that may represent serious conditions relative to the patient.

A

critical range (CR)

54
Q

valid CR results need to be…

A

relayed to the licensed care provider and documented.

MD, RN, etc. NOT secretary or unit clerk.

First name, last name, credentials

Your First name, last name, date, time.

55
Q

criteria that divide individuals for reference studies into groups

A

partitioning criteria

56
Q

Include factors that affect the reference individual, specimen collection, and specimen handling

A

preanalytical variables

57
Q

if reference study data does not form a normal distribution…

A

you must use nonparametric methods, which make no specific assumptions concerning the mathematical form of the probability distribution represented by the observed reference values.

58
Q

CLSI guidelines for reference studies

A

A minimum of 120 reference values be used

Reference interval be determined by the nonparametric method

59
Q

Procedure in which two consecutive laboratory results on a patient are compared. If the difference between the two values exceeds a predetermined value (per institution), then the result is flagged.

A

Delta checks

60
Q

Verification and release of patient results using software-based algorithms with decision-making logic via the Laboratory Information System (L I S)

A

autoverification

61
Q

An example of external quality control wherein an agency or organization provides biological samples whose concentrations are unknown to the testing clinical laboratory.

A

proficiency testing