Public Health Flashcards

1
Q

Best type of study for therapy?

A

Randomised controlled trial RCT > cohort

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2
Q

Best type of study for diagnosis?

A

Prospective, blind comparison to a gold standard

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3
Q

Best type of study for etiology/harm?

A

RCT > cohort

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4
Q

Best type of study for prognosis?

A

Cohort > case control

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5
Q

Best type of study for prevention?

A

RCT > cohort study

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6
Q

Best type of study for clinical exam?

A

Prospective, blind comparison to gold standard

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7
Q

Name the 4 phases of diagnostic research

A

• Phase 1: compare test results of target disorder and normal people (ideal circumstances)
• phase 2: sensitivity and specificity
• phase 3: if suspect target disorder, does test distinguish Those with and without (usual circumstances)
• phase 4: does diagnostic test better prognosis

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8
Q

How calculate positive predictive value

A

Positive disease / positive test

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9
Q

How calculate negative predictive value

A

Negative disease / negative test

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10
Q

How calculate study prevalence

A

Patients with target disease / total patients

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11
Q

How calculate sensitivity

A

Positive test / positive disease
SnOUT

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12
Q

How calculate specificity

A

Negative test / negative disease
Rule in spIN

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13
Q

Define pre test probability

A

The background prevalence in group of people you’re testing

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14
Q

How calculate likelihood ratio

A

(Positive test/positive disease) / (positive test / negative disease)
= sensitivity/ (1-specificity),

Useful because post test odds of having disease = pretest odds of disease x Lr

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15
Q

What is a fagan monogram and what is needed

A

Graphical tool for estimating how much the result on a diagnostic test changes the probability that a patient has a disease. For this, you need the pre-test probability and the likelihood ratio

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16
Q

How is study validity determined (8)

A

Primary guides
• Assignment of patients to treatments * randomized * and randomization concealed
• all patients properly *accounted for and attributed *
• * follow up * complete
• *Intention to treat analysis *: patients analyzed in the groups to which they were randomised

Secondary guides
• were all involved blind to treatment
• were groups * similar * at start of trial
• were groups * treated equally *
• is * sample size * determined prior to avoid type 2 error, and numbers reached?

Validity = truthful, free of bias (systematic error)

17
Q

Which 2 forms of error in research must be excluded to prove validity

A

• Random error (chance, p values)
• systematic error (bias)

18
Q

How calculate relative risk

A

risk of negative outcome on target drug / risk on placebo
(Risk ratio in % )

19
Q

How calculate absolute risk

A

Risk of negative outcome on placebo - risk on target drug
Eg 10% -5% = absolute risk is reduced by 5% (5 less patients out of 100 will get disease)

20
Q

How calculate number needed to treat NNT

A

NNT to get 1 less negative outcome/disease = 100 / absolute risk
Eg if absolute risk is reduced by 5%, need to treat 20 patients so that 1 less patient suffers the negative outcome eg stroke

Give better idea about clinical significance

21
Q

Define statistically significant (2)

A

P < 0,05

95% Confidence interval cannot contain 1

22
Q

How interpret rr 0,5 (95% CI 0,2 - 0,7)

A

I am 95% confident that if I use this target drug in the population of people with this disease then the rr will be between 0,2 - 0,7 so the relative risk reduction will be between 30 and 80%

0,5 = sample results (study result)

1 is not in the 95% CI therefore statistically significant

23
Q

Define clinically significant

A

RRR (relative risk reduction) 25% or more
But use mostly absolute risk reduction and NNT to decide

24
Q

What tells us about precision in a study?

A

Confidence intervals

25
Q

How express uncertainty in meta-analysis

A

Or = 1
0 (treatment better ) or ( 1 ) - 2 (treatment worse)