1B : evidence based practice princples on diagnostic testing Flashcards

1
Q

___ of data is vital to accurate and efficient clinical decision making

A

quality

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2
Q

what is the gold standard of test

A

the test that others test are compared to

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3
Q

what is the difference between true positive and false positive

A

true positive is if you have the disease and the test says t you have it

false postive is if you don’t have the disease and the test says you have it

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4
Q

what is the difference between false negative and true negative

A

false negative is if you have the disease but the test says you don’t

true negative is if you don’t have the disease and the test says you don’t

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5
Q

what is defined as Given that the individual has the
condition, probability that test will be (+)

A

sensitivity

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6
Q

what is defined as Give that the individual does
NOT have the condition, probability that test will be (-)

A

specificity

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7
Q

what is positive predictive value

A

given a positive test result , the probability that the person has the condition

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8
Q

what is negative predictive value

A

given a neg test result , the prob that the person does not have the condition

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9
Q

what are the limitations when using predictive values

A

sample specific

depends highly on prevalence of condition in study population

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10
Q

condition with a low prevalence will have what for positive and negative

A

low positive values and higher negative values

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11
Q

what is considered true positive rate

A

sensitivity

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12
Q

a test with a high sensitivity value that when negative it helps ___ ___ a condition

A

rule out

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13
Q

what is considered true neg rate

A

specificity

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14
Q

a test with a high specificity value that when positive helps ___ ___ a condition

A

rule in

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15
Q

does a diagnostic test rule in or rule out ?
does a good screening rule in or rule out

A

rule in
rule out

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16
Q

what can be used to quantify shifts in probability given a certain test result

A

likeihood ratio

17
Q

what is the implication of a positive likeihood ratio

A

the probability that someone has thepositive result

18
Q

what is the implication of a negative likeihood ratio

A

with a neg test , it is the prob that it will be negative test

19
Q

do you want the +LR to be low or high? what about -LR

A

high and low

20
Q

if the positive LR >10 then what does it mean

A

large shifts in probability

21
Q

what kind of shifts does a positive LR of 5-10 give

A

mod shifts in probability

22
Q

what kind of shifts in probability will be shown with a positive LR of 2-5

A

small but sometimes important shifts in probability

23
Q

what kind of shifts in probability will be shown with a positive LR of 1-2

A

small and not important

24
Q

what kind of shifts in probability will be shown with a negative LR of <.10

A

large shifts

25
Q

what kind of shifts in probability will be shown with a negative LR of 0.1 - 0.2

A

moderate shifts

26
Q

what kind of shifts in probability will be shown with a negative LR of 0.2-0.5

A

small but sometimes important

27
Q

what kind of shifts in probability will be shown with a negative LR of 0.5-1

A

small and not important

28
Q

what probability is based on clinical info and/or previous research

A

pre test probability

29
Q

what provides the most powerful tool for quantifying the important of a particular test

A

LRs

30
Q

what is the statistic used to represent the amount of change needed to exceed measurement error of the test

A

minimal detectable change

31
Q

if there is a increase reliability of a test what happens to the MDC value in that population

A

decreases it

32
Q

MCID should not exceed the ___

A

MDC

33
Q

what is the Smallest difference detected that
represents an important improvement from the perspective of individuals w/ the
condition

A

MCID

34
Q

what is the diagnostic process bases on probabilities & the revision of probabilities

A

evidence based practice

35
Q

what are the 3 psychometric properties of test

A

reliability
validity
responsiveness