Introduction to Epidemiology Flashcards

1
Q

What is mortality rates? and what is needed for a meaningful statistic

A

The threat of death (death rates). A meaningful statistic needs a denominator population and a time frame.

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2
Q

What are some examples of denominators used in mortality rates?

A

Health boards, cities and hospitals (it picks specific groups of people/areas)

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3
Q

What is person-time?

A

The number of years a person is exposed to a risk.

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4
Q

What is incidence and how can you calculate incidence rate?

A

Incidence = the number of new cases

Incidence rate = number of people with disease/number of people at risk x 100,00 (to get the rate in 100,000) people

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5
Q

Define prevalence?

A

-Proportion of population that has a disease

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6
Q

How can you calculate point prevalence rate and period prevalence rate?

A

Point prevalence rate = number of people with disease at a point of time/ Total number of people in the group x 100

Period prevalence rate = number of people with a disease over a period of time/average number of people in the group x 100

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7
Q

What are the differences between incidence and prevalence?

A

Incidence is a rate or a proportion, it is useful for identifying the cause of disease.
Prevalence is a proportion and identifies disease burden.

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8
Q

Define sporadic

A

Occasional cases occurring irregularly

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9
Q

Define endemic

A

Persistent background level of occurrence

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10
Q

Define epidemic

A

Occurrence in excess of the expected level for a given time period

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11
Q

Define pandemic

A

Epidemic occurring or spreading over more than one continent

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12
Q

What can different types of outcomes be?

A
Death,
Hospitalisation,
Diagnosis,
Relapse,
Difference in quality of life,
Surrogates (changes in blood pressure or lung function)
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13
Q

What can different exposures be? (factors that lead to an outcome)

A

Non-modifiable - age and genotype.
Modifiable - smoking, weight, exercise, diet, alcohol consumption.
Interventions - Drugs, surgery and lifestyle advice

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14
Q

What is risk?

A

The percentage of the number of outcomes in a group/number of people in the group

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15
Q

what is relative risk?

A

The ration of the people exposed to the people unexposed

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16
Q

What is relative risk reduction?

A

(1-relative risk) x 100

17
Q

What is the absoloute risk reduction?

A

Risk in unexposed - risk in exposed

18
Q

What is the number needed to treat?

A

1/absolute risk reduction

19
Q

What is a confidence interval?

A

They represent the range of plausible values. Wider the intervals, the greater the uncertainty. So this makes them very useful in appraising published research.

20
Q

Describe the hierarchy of evidence

A

It ranges from the most reliable sources (systematic reviews and meta-analysis), then experimental designs, quasi-experimental designs, then observational-analytic designs and observational descriptive designs. To the least reliable (background information and expert opinion)

21
Q

What is a cross-sectional study?

A

Looks at the different; exposures, signs/symptoms and outcomes. The data can be used to look at prevalence and associations

22
Q

What is a case-control study?

A

This samples cases with outcomes and without outcomes. It explores and compares exposures and helps identify associations (looking at cause)

23
Q

What is a cohort study?

A

It compares the risk of the disease in the unexposed and exposed and looks at the cause, prognosis and incidence.

24
Q

What is a randomised controlled trial?

A

It uses the randomised use of intervention and controls. It is used to compare the risk of outcome in intervention and control groups

25
What are the different study designs good for?
Randomised controlled trial - looks at treatment effect Cohort - looks at cause, prognosis and incidence Case controlled - cause Cross sectional - prevelence.