Measuring And Describing Disease Flashcards

1
Q

What is the literal translation of epidemiology?

A

The study of that which is upon the people.

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2
Q

What is the meaning of ‘endemic’?

A

Diseases that reside within a population

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3
Q

What is the meaning of ‘epidemic’?

A

Diseases that befall a population

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4
Q

What is the definition of epidemiology?

A

The study of the distribution and determinants of health-related states or events in specified populations, and the application of this study to the control of health problems.

Put simply, how often diseases occur in different groups of people and why

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5
Q

Who is known as the father of modern epidemiology?

A

John Snow

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6
Q

What is primary prevention?

A

Primary (before onset): the prevention of disease through the control of exposure to risk factors, e.g. reducing salt in your diet reduces the risk of developing hypertension

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7
Q

What is secondary prevention?

A

Secondary (slows progression): the application of available measures to detect early departures from health and to introduce appropriate treatment and interventions, e.g. providing anti hypertensive drugs to control hypertension

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8
Q

What is tertiary prevention?

A

Tertiary (enables return to functioning after insult): the application of measures to reduce or eliminate long-term impairments and disabilities, minimising suffering caused by existing departures from good health and to promote the patient’s adjustments to their condition.

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9
Q

What is the correct epidemiological definition of odds?

A

The ratio of the probability (P) of an event to the probability of its complement (1-P). (P/1-P)

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10
Q

What is the epidemiological definition of prevalence?

A

The proportion of individuals in a population who have the attribute at a specific timepoint

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11
Q

What does prevalence reflect?

A

Both the occurrence and duration of a disease

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12
Q

What is a limitation of prevalence?

A

Prevalence provides no information on new cases of a disease

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13
Q

What is the epidemiological definition of cumulative incidence?

A

The proportion of the population with a new event during a given time period.

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14
Q

How do you calculate cumulative incidence?

A

Number of new cases during period of interest/number of disease-free individuals at the start of this time period

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15
Q

What is cumulative incidence also referred to as?

A

Incidence proportion
Risk

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16
Q

What are the limitations of cumulative incidence?

A
  • Survey requires a follow-up stage
  • There may be competing risk, e.g. risk of death due to injuries so you wouldn’t know if that individual may have developed the disease
  • Also people may enter/leave study population and there could be loss of follow-ups
17
Q

What is person-time?

A

A measure of the time participants spend in the study

18
Q

How is incidence rate calculated?

A

Number of new cases during follow-up period/total person time by disease free individuals

19
Q

How is rate expressed?

A

Can only be expressed as new cases per unit of person time

20
Q

What are the strengths of incidence rate?

A
  • Accounts for the time of follow-up and the time when the new event occurred
  • Suitable for studies when participates enter and leave at different times and when there are competing risks
  • Can be used cumulative incidence is problematic or cannot be properly defined
21
Q

What are the two types of standardisation and Howard the results presented?

A

Direct - this gives a comparable incidence, e.g. 120 strokes per 100,000 per year
Indirect - this gives a ratio out of 100 (or sometimes 1.0)

22
Q

What type of standard population do we use in Europe?

A

European Standard Population

23
Q

What do you need to check before comparing data between to areas?

A

Whether the data is standardised and what is has been standardised for, if so

24
Q

What is data termed as before standardisation?

A

Crude data

25
Q

What are the different types of variation?

A

Unwarranted variation - suggests a particular setting is dangerous
Explained variation
Statistical artefact - how well data is recorded

26
Q

How is the standardised mortality ratio and how is it interpreted?

A

It is calculated by dividing the observed count by the expected count.
An SMR of 1.65 (or 165) suggests there were 65% more deaths than expected.

27
Q

What does SHMI stand for?

A

Standardised Hospital Mortality Indicators - identify hospitals that report a higher than expected mortality

28
Q

When is indirect comparison used?

A

Usually used when we only have high-level data about outcomes and we can’t make a direct comparison.

29
Q

What is the different between granular and aggregated data?

A

Granular - individual level
Aggregated - high-level (top level) data