Intervention Flashcards

1
Q

Intervention

A

the course of tx prescribed by the practitioner that ha the goal of improving the pts tatus with regards to the target disorder, illness, and predicament

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2
Q

Critical appraisal-3 questions

A

are results of the individual study valid, important, and applicable to our patient

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3
Q

Study valid?

A

randomization

follow up

analyzed in assigned group

blinding

equal tx groups

groups similar at start of trial

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4
Q

Results important?

A

significance?

magnitude?

precision of treatment effect?

traditional results- establish alpha level, administer treatments, compare means, calculate p value, determine statistical significance

if p > alpha -“not statistically significant”. Chances are what we are measuring came from the same targe population and infers the two txs have a similar effect.

if p < alpha - “statistically significant”. Chances are what we are measuring came from different target populations and infers that the two txs have a diff effect.

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5
Q

Statistically significant

A

not a measure of magnitude

does not address good vs harm

statistically significant finding not likely to have occurred if null hypothesis is true. Does not necessarily mean that the results are important, and is not an indication that the difference is large

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6
Q

Results important?

A

for continuous measures- effect size (ES)

for categorical measures- magnitude of tx effect (NNT and NNH) and precision of tx effect (conf interval around NNT and NNH)

control event rate (CER)- count # of events in control group

experimental event rate (EER)- count # of events in experimental group

absolute event rte reduction (ARR= EER-CER)

NNT= 1/ARR

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7
Q

Effect size (ES)

A

specific type of signal to noise ratio

numerator- diff in means

denominator- common SD

ES= (M1 - M2)/ Pooled SD

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8
Q

NNT

A

the # of patients that need to be treated in order for one to benefit

ARR= EER- CER

ARR= .816- .581

NNT= 1/ ARR= 1/.235

NNT= 4.25

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9
Q

NNH

A

large #s are good because they mean that adverse events are rare.

Small value for NNH are bad, because they mean adverse events are common

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10
Q

Forest plots

A

graphical representation of SR results

indicates treatment effect size

if meta-analysis (cumulative effect size)

need to identify- outcome, comparison, point estimates, confidence intervals

diamond shows everything together

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