Quality Assurance Flashcards

1
Q

Define Sensitivity

A

a measure of frequency of the test being positive in animals that have the disease

(how many truely afflicted animals will be missed by a test)

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2
Q

How do you calculate sensitivity

A

TP / (TP+FN) x 100

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3
Q

Define Specificty

A

A measure of the frequency of the test being negative (or normal) in animals that do not have the disease

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4
Q

How do you calculate specificity

A

TN / (TN + FP) x 100

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5
Q

If you have a test with high sensitivity and you get a negative result, it increases your confidence that the patient (does/does not) have the disease in question

A

does not

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6
Q

If a test has a low sensitivity, you (can/cannot) rule out the disease based on a negative result

A

cannot

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7
Q

If a test has a high specificity and you get a positive result, it increases your confidence that the patient (has/does not have) the disease in question

A

Has

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8
Q

If a test has a low specificity, you (can/cannot) conclude a positive result indicates the disease in question

A

cannot

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9
Q

positive predictive value (PPV)

A

tells you what % of animals with a positive (abnormal) test result actually have the disease

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10
Q

how do you calculate PPV

A

TP / (TP+FP) x100

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11
Q

Negative predictive value (NPV)

A

tells you what percent of animals with a negative (normal) test don’t have the disease

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12
Q

What are the phases of sample analysis?

A

Pre-analytical, analityical, Post-analytical

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13
Q

define quality assurance

A

the planned procedures that are implemented to monitor, identify and improve laboratory performance in order to minimize all types of lab errors

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14
Q

goal for QA programs

A

detect and prevent errors in all phases of lab testing

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15
Q

define quality control

A

the procedures we apply to monitor analytic performance of the instrument and use to detect and minimize analytical errors

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16
Q

define accuracy

A

how close is the result to the true value

17
Q

define precision

A

how repeatable is the result