Epidemiology Flashcards

(48 cards)

1
Q

Define epidemiology

A

a public health discipline basic science which studies the distribution and determinants of disease in populations to control disease and illness and promote health

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2
Q

What are the 3 primary groupings in epidemiology?

A

disease; exposure; population

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3
Q

Who is the father of epidemiology?

A

John Snow

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4
Q

In regards to distribution of disease, what is the frequency of disease occurrence?

A

not only counts but also counts in relation to size of the population

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5
Q

What 3 aspects do patterns of disease occurrence encompass?

A

person; place; time

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6
Q

In regards to distribution of disease, Who/where/when = ____ epidemiology

A

descriptive

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7
Q

In regards to determinants of disease, why/how = ____ epidemiology

A

analytic

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8
Q

New occurrences of an outcome or disease is called what?

A

incidence

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9
Q

Existing occurrences of an outcome/disease is called what?

A

prevalence

note: includes old and new cases, collectively

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10
Q

(new cases of the outcome)/(# persons at risk of the outcome) = ?

A

incidence

note: always subtract out those who already have the disease

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11
Q

What is the equation for incidence rate?

A

new cases/ person time (total net time people were at risk)

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12
Q

Occurrence of disease clearly in excess of normal expectancy is called what?

A

epidemic

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13
Q

an epidemic limited to a localized increase in the occurrence of disease is called what?

A

outbreak

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14
Q

define endemic

A

the constant presence of a disease within a given area or population in excess of normal levels in other areas

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15
Q

define pandemic

A

an epidemic occurring over a very wide area involving a large number of people

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16
Q

Explain difference between quantitative and qualitative research design

A
quantitative = numbers 
qualitative = words
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17
Q

Explain difference between interventional and observational methodology

A

interventional = forced allocation to study groups

observational = no forced allocation to study groups

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18
Q

Explain the different phases of an interventional study

A

pre-clinical: bench research

phase 1: assess safety, small sample (20-80)

phase 2: assess safety and efficacy in diseased population, larger sample (100-300)

phase 3: primary focus is to assess efficacy, even larger sample (1000-3000)

Phase 4: post-marketing, long-term effects in large population

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19
Q

Define a single-blind interventional study

A

study subjects are not informed which intervention they are receiving but clinicians know

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20
Q

Define a double-blind interventional study

A

neither investigator nor study subjects are informed which intervention each subject is receiving

21
Q

Define an open label interventional study

A

everyone knows everything

22
Q

Inert treatments made to look identical in all ascents to the active treatment is called?

23
Q

What is a double-dummy treatment?

A

more than 1 placebo used

24
Q

What is the placebo-effect?

A

improvement in condition, by power of suggestion & due to the care being provided

25
What is the hawthorne-effect?
desire of study subject to "please" investigators by reporting positive results, regardless of treatment allocation
26
Group allocation in a cohort study is based on what?
exposure
27
Group allocation in a case-control study is based on what?
disease
28
What does a cross-sectional study examine?
the relationship between disease AND exposure
29
What is absolute risk reduction (ARR)?
subtract risks of two groups
30
What is relative risk reduction (RRR)?
ARR / Risk of unexposed
31
What is the number needed to treat?
1 / ARR
32
Interpret RR = 1.53
53% greater risk in the comparator group
33
Interpret RR = 0.73
27% lower risk of the outcome
34
When looking at the CI for ratios, if both values are on the same side of 1.0, is the data significant or not?
always significant
35
How do you test for confounding?
calculate crude RR and then calculate adjusted RR which controls for confounder. if there is a 10-15% difference, confounding is present
36
What is the purpose of controlling for confounding?
to get a more accurate estimate of the true association between exposure and disease
37
In regards to study design, what are three ways you can control confounding?
randomization, restriction, matching
38
In regards to analysis of data, what are 2 ways you can control confounding?
stratification, multivariate analysis
39
A 3rd variable, that when present, modifies the magnitude of effect of an association by varying it within different levels of a 3rd variable is called what?
effect modification
40
How is effect modification different from confounding?
comparing the crude estimate of the measure of association is not the only element used to evaluate the presence of effect modification, stream-specific estimates are compared directly to see if they are different. If the highest layer is 10-15% different than lowest layer, there is effect modification present
41
How do artifactual associations arise?
from significant bias and/or extensive confounding
42
How do non-causal associations occur?
1. disease may cause exposure (RA leading to physical inactivity) 2. disease and exposure are both associated with third factor (confounding)
43
What are Hill's guidelines?
strength, consistency, temporality, biologic gradient, plausibility
44
Define True Positive
test is positive and patient does have disease (A box)
45
Define True Negative
Test is negative and patient does not have disease (D box)
46
Define False Positive
Test is positive but patient does not have disease
47
Define False Negative
Test is negative but patient does have disease
48
Sensitivity and specificity describe accuracy of ___ ___, while PPV and NPV predict accuracy of ____
test result; diagnosis