Lecture 16 - Measuring Disease Occurence Flashcards

1
Q

Why measure disease occurrence in

populations?

A

Health status
Trends over time
Impact among different groups

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2
Q

Measures of occurrence

A

Prevalence

Incidence

  • incidence proportion (cumulative incidence)
  • incidence rate
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3
Q

What is prevalence

A

proportion of a population who have the disease at a point in time

Point prevalence

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4
Q

Prevalence why

A

Burden of disease

Resource allocation

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5
Q

Prevalence calculation

A

Number of people with disease at given time / total number of people in that population in given time

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6
Q

Prevalence reporting

A
Measure of occurrence - prevalence
Exposure of outcome - of disability 
Population - in people in NZ
Time point - in 2013
Value - 23.8%
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7
Q

Prevalence - limitations

A
  1. Difficult to assess the development of disease

2. Is influenced by the duration of the disease

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8
Q

Incidence

A

occurrence of new cases of an outcome in a population during a specific period of follow-up

IP (Incidence proportion)
IR (Incidence rate)

Difference is what we use as the denominator

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9
Q

Incidence proportion

A

proportion of an outcome-free population that develops the outcome of interest in a specified time period

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10
Q

Incidence proportion - calculation

A

Number of people who develop the disease in a specified period / number of people at risk of developing the disease at the start of the period

New cases / population at risk

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11
Q

Why might people not be considered ‘at risk’ at the start of a study?

A
  • They already have the condition

* The condition is something that they cannot develop

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12
Q

Incidence proportion

A

New cases during the time period / population at risk at the beginning of the time period

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13
Q

Incidence proportion reporting

A
Measure of occurrence - incidence proportion 
Outcome - of low back pain
Population- in nurses
Time period - in 12 months
Value - was 35%
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14
Q

Incidence proportion why

A

Risk (average)

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15
Q

Incidence proportion limitations

A

• Assumes a ‘closed’ population
(does not account for people coming or going)

• Highly dependent on the time period
(longer time period = higher incidence proportion)

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16
Q

What is Incidence rate

A

The rate at which new cases of the outcome of interest occur in a population

*How quickly are new cases of the condition developing in the population?

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17
Q

Incidence rate calculation

A

Number of people who develop the disease in a specified period / Number of person-years at risk of developing the disease

Develop disease / person years at risk of developing disease

Multiply by 100

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18
Q

Incidence rate reporting

A

Measure of occurrence - incidence rate
Outcome - glandular fever
Population - in class
Value - 50 per 100 person-years

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19
Q

Incidence rate limitations

A

Person-time not available

Complex to calculate

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20
Q

Brief recap what is prevalence

A

Existing cases - distribution, burden

Influenced by duration, does not tell us about development

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21
Q

Brief recaps

What is incidence proportion?

A

New cases - risk

Doesn’t account for time-at-risk
Increases if time increases

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22
Q

Brief recap

What is incidence rate?

A

New cases - speed

Needs person-time - not always available, complex

23
Q

Prevalence of gout in NZ

A

Shows burden of disease among different groups of a population

Higher in males, pacific, maori than european and females

24
Q

Prevalence aspects

A
Disease
Health condition
Exposure 
- Possible determinant of disease 
- Eg smoking
25
Prevalence - reporting
``` Measure of occurrence Exposure or outcome Population Time point Value ```
26
Measure of occurrence
incidence rate incidence proportion prevalence
27
Exposure or outcome
health condition
28
Population
people in nz
29
what is incidence proportion?
People who develop the disease in specific time period (new cases of disease) - numerator Denominator - people at risk of developing the disease at the start of the period New cases / population at risk
30
Why incidence repost
Risk Shows who have the highest risk Average risk in that group
31
Incidence proportion - reporting
``` Measure of occurrence Outcome Population Time period Value ```
32
Treatment might mean people recover faster
Disease shorter duration | Low prevalence
33
Treatment might mean people may live longer with the disease
Increase duration | Increase prevalence
34
Incidence proportion - limitations
* Assumes a ‘closed’ population (does not account for people coming or going) * Highly dependent on the time period (longer time period = higher incidence proportion)
35
what is incidence rate?
rate at which new cases of the outcome of interest occur in a population
36
why use incidence rate?
How quickly are new cases of the condition developing in the population?
37
Incidence rate - calculation
Number of people who develop the disease in a specified period / Number of person-years at risk of developing the disease
38
person-years
Sum of everyone in the population’s time at risk of becoming a case
39
Why might someone stop being ‘at risk’?
* They become a case * They are lost to follow-up (e.g. die, move away, no longer take part) * Follow-up time ends
40
Incidence rate - reporting
Measure of occurrence Outcome Population Value
41
Incidence rate - limitations
Person-time not available | Complex to calculate
42
Which of the following would be the most appropriate numerator for determining the prevalence of measles on 31 December 2018?
The number of people with measles on 31 December 2018
43
A hypothetical study found the incidence of hospitalisation due to influenza in a population was 31.3 per 100,000 during 2017. This is a measure of:
Incidence proportion
44
Brief recap | Prevalence:
existing cases – distribution, burden Influenced by duration, does not tell us about development
45
Brief recap | Incidence proportion:
new cases - risk Does not account for time-at-risk, increases if the time increases
46
Brief recap | Incidence rate:
new cases - speed Needs person-time – not always available, complex
47
Prevalence, incidence and duration
Changes to incidence and duration can affect disease prevalence
48
Does the disease risk vary by age?
Yes, older people
49
The Gambia 29 per 100,000 for 2014 Do the age structures differ?
Population gambia younger ages | Population germany older ages
50
Age standardisation
Standardise both population to a standard population (remove effect of populations having different age structures)
51
Comparing populations | questions
Do the age structures differ? | Does the disease risk vary by age?
52
Age standardisation The Gambia 29 per 100,000 for 2014 Germany 165 per 100,000 for 2014
86 per 100,000 for 2014 63 per 100,000 for 2014
53
when do you use Age standardisation?
Age structures differ AND Disease risk varies by age