Epidemiology Flashcards

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

Define the core function of epidemiology: pubic health surveillance

A

Surveying populations to find patterns of disease occurrence

  • Data interpretation is a key skill, other key skills are designing & using data collection instruments, data management, and scientific writing and presentation
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3
Q

Define syndromes surveillance system:

A

Looks for predefined signs/symptoms of patients related to track able but rare diseases/conditions

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4
Q

Define epidemic:

A

Occurrence of disease clearly in excess of normal expectancy

Spans greater than a localized outbreak

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5
Q

Define Passive Surveillance System

A

Relies on healthcare system to follow regulations on required reportable diseases

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6
Q

Define active surveillance system:

A

Health officials go into communities to search for new disease cases

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7
Q

Define Outbreak:

A

An epidemic limited to a LOCALIZED increase in occurrence of disease (aka cluster)

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8
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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9
Q

Define Pandemic:

A

An epidemic spread world-wide (global health)

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10
Q

Define absolute difference:

A

A subtraction

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11
Q

Define relative difference:

A

A ratio

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12
Q

Define incidence:

A

New cases of disease

[aka Risk, aka Attack Rate, aka Cumulative Incidence]

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13
Q

Define prevalence

A

Existing cases of disease + new cases of disease

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14
Q

What causes prevalence to decrease?

A

If someone is cured or dies (removed from the pool)

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15
Q

What causes prevalence to go up?

A

When someone receives therapy to stay alive with the disease, such as insulin to treat diabetes

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16
Q

How do you calculate incidence?

A

(# of new cases of illness)/(# of people at risk of illness or in population)

[always subtract out (from the starting population, if known), those who’re not ‘at risk’ (already have the disease/outcome or are immune)]

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17
Q

What can incidence also be referred to as?

A

Risk, attack rate, or cumulative incidence

18
Q

What is the equation used to calculate prevalence?

A

of existing cases of disease/# of persons in population

19
Q

Define absolute difference:

A

A subtraction of 2 frequencies

Ex. 45 surgeries in males and 17 surgeries in females… 45-17 = 28, males had 28 more surgeries OR 17-45 = 28 (absolute value), females had 28 fewer surgeries

20
Q

Define Relative difference:

A

A division of frequencies or proportions

21
Q

Give an example of a relative difference frequency using 45 surgeries and 17 surgeries in females

A

45/17 = 2.6X the number of surgeries for males than females

OR

17/45 = 38%; Females had only 38% of the number of surgeries as males did

22
Q

Give an example of a relative difference proportion using 45 surgeries in males and 17 surgeries in females

A

45 males with surgeries/ total number of males = X% surgeries in males

OR

17 women with surgeries/total number of women = X% surgeries in women

23
Q

Define risk

A

Probability of outcome in an individual group

24
Q

Explain how to calculate risk using smokers and nonsmokers as your example:

A

(# smokers with disease)/(total # of smokers)

OR

(# of nonsmokers with disease)/(total # of nonsmokers)

25
Q

Define absolute risk reduction (ARR):

A

The risk difference of the outcome attributable to exposure difference between groups

26
Q

How do you calculate absolute risk reduction (ARR)?

A

Good outcome% - bad outcome% = X%

The ARR tells you that for example the drug tested works X% better than the placebo

27
Q

How is the relative risk reduction (RRR) calculated?

A

(AAR)/(R of the unexposed)

Ex. AAR/outcome of placebo = X%, so the drug lowers your risk of disease by X%

28
Q

Define the number needed to treat/number needed to harm

A

Number of patients needed to be treated to receive the stated benefit or harm: 1/ARR = # needed to treat

Ex. Say ARR = 3.8% so, 1/.038 = 27 patients would need to be treated with the drug to reduce 1 disease/death case
Answer MUST be a whole number!!

29
Q

Define Risk Ratio (RR or relative risk):

A

Ratios of the risks from 2 different groups

Risk of outcome in exposed)/(Risk of outcome in the non-exposed

30
Q

What do risk, odds, and hazard ratios all have in common?

A
  • All compare 2 groups and describe the likelihood of an event/outcome in 1 group compared to another
31
Q

What does it mean if a risk, odds, or hazard ratio is equal to 1?

A

The event/outcome is equally likely for both groups being compared

32
Q

What does it mean if a risk, odds, or hazard ratio is >1?

A

The event/outcome is MORE likely to occur in the comparison group

33
Q

How is a risk, odds, or hazard ratio interpreted if it is >/= 2?

A

Use the phrase “X” times greater for interpretation

  • The comparator group has X times greater odds of getting the disease
34
Q

What are the 3 things to look for when interpreting ratios?

A

1) Group comparison orientation (drug vs. placebo or placebo vs. drug)
2) Direction of words (increased or decreased)
3) Magnitude (80% (1.8 times) or 20% (.8 times))

35
Q

Define Odds

A

Frequency of an outcome occurring vs not occurring

  • The frequency of exposure vs frequency of not being exposed

[in a 2x2 table, divide A/C or B/D]

36
Q

What is the simplest way (shortcut) to calculate an odds ratio?

A

Cross multiply

A X D)/(B X C

37
Q

Attributable risk is also known as ______

A

Absolute risk reduction (ARR)

[defines the risk difference of the outcome attributable to exposure difference between groups]

38
Q

Calculation of incidence rate

A

of new cases of illness/person-time of people at risk of illness

[person-time: 100 person-years is 100 people followed for 1 year each; 10 people followed for 10 years each; 25 people followed for 4 years each, etc.]

39
Q

How would you interpret a RR, OR, or HR of 1.8?

A

80% increased risk/odds/hazard

40
Q

How would you interpret a RR of 0.25?

A

75% decreased risk/odds/hazard

41
Q

T/F: When looking at the confidence interval for a ratio, if BOTH values are on the SAME side of 1.0 (equality) — it is ALWAYS statistically significant!

A

True