Session 7 Flashcards

1
Q

How can disease be detected?

A

Spontaneous presentation
Opportunistic case finding
Screening

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2
Q

What is Spontaneous presentation?

A

The person presents with symptoms and defines self as patient eg. GP, A&E

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3
Q

What is Opportunistic case finding?

A

Person presents with symptoms relating to a disease/problem

Gp takes the opportunity to check for other diseases eg Urine dipstick, Blood pressure

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4
Q

What is Screening?

A

Systematic attempt to detect an unrecognised condition (So no signs/symptoms yet) by the application of tests, examinations or other procedures
Can be applied rapidly and cheaply to distinguish between apparently well people who probably have a disease (or its precursor) an those who probably do not

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5
Q

What happens if a patient screens positive for a disease?

A

They are at a high risk of getting the disease and will have diagnostic tests to see if they have the disease or not
Does NOT mean they definitely have the disease

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6
Q

How many patients with a positive screen for breast cancer have it?

A

~8%

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7
Q

What is the purpose of screening?

A

To have a better outcome compared to if the patient had found it in the usual way
Finding something earlier is NOT the primary outcome of screening
There is no point in screening if treatment can wait until symptoms appear with no difference in survival rates

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8
Q

What are some examples of the NHS screening programmes in the UK?

A

Breast cancer
Bowel cancer
Cervical cancer
Diabetic retinopathy (Specific population)
Abdominal Aortic aneurysm (Men at a specific age)
Fetal abnormalities

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9
Q

What features should the disease have for a screening process?

A

Must be an important health problem
Epidemiology and Natural history must be understood
Must have an early detectable stage
Cost effective Primary prevention interventions must have been considered and implemented where possible

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10
Q

What properties should all Screening tests have?

A

Simple & safe (As will be screening healthy people)
Precise & valid
Acceptable to the population
Distribution of test values in the population must be known
Agreed cut off level must be defined
Agreed policy on who to investigate further

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11
Q

What are the 2 main errors any screening test will make?

A
False positives (Healthy people who test positive)
False negatives (Ill people who test negative)
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12
Q

What are the features of test validity?

A

Sensitivity (Detection rate)
Specificity
Positive predictive value
Negative predictive value

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13
Q

What is Sensitivity of a test?

A

Proportion of people with the disease who test positive

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14
Q

How do you calculate sensitivity?

A

True positives / (True positives + False negatives)

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15
Q

What does high sensitivity mean?

A

The test is good at correctly identifying people with the disease you are screening for

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16
Q

What is Specificity of a test?

A

Proportion of people without the disease who test negative

17
Q

How do you calculate specificity?

A

True negatives / (False positives + True negatives)

18
Q

What does a high specificity mean?

A

Test is good at identifying people without the disease as not having the disease

19
Q

Sensitivity & Specificity are a function of the characteristics of the test, what does this mean?

A

That when the test is applied in the same way in different populations, the test will have the same Sensitivity and Specificty

20
Q

What is the Positive predictive value?

A

Proportion of people who test positive that actually have the disease
Value is strongly influenced by the prevalence of the disease (A low prevalence disease may have a lower PPV than a higher prevalence disease even if the sensitivity and specificity of the tests are the same)

21
Q

How do you calculate the Positive predictive value?

A

True positives / (True positives + False positives)

22
Q

How do you calculate the prevalence of a disease?

A

(True positives + False negatives) / Whole population

23
Q

What is Negative predictive value?

A

Proportion of people who are test negative who actually do NOT have the disease

24
Q

How do you calculate Negative predictive value?

A

True negatives / (False negatives + True negatives)

25
Q

What are the implications of a False positive result?

A

The test indicates patient may have the disease when they do not.
Patients will have to undergo invasive tests
May lead to lower uptake of screening programmes
Uneccessary stress

26
Q

What are the implications of a False negative result?

A

The test indicates patient doesn’t have the disease when they do
Will not be offered diagnostic test
False reassurance so may present with symptoms later

27
Q

For a screening programme to be approved, what sort of treatment should be available?

A

Effective evidence based
Early treatment that is advantageous
Agreed policy on who to treat

28
Q

What should a screening programme have to be approved?

A

Facilities for counselling
Facilities for diagnosis & treatment
Quality assurance for the whole programme
Proven effectiveness
Benefit should outweigh physical/psychological damage

29
Q

What type of Health intervention is Screening an example of?

A

Secondary

30
Q

What is the Lead time bias?

A

Patients live the same length of time (Whether they were screened or not) but they live longer knowing they have the disease

31
Q

What is a bias associated with screening?

A

Those who have regular screening are likely to do other things to protect their health

32
Q

What are the sociological critiques of screening?

A
Victim blaming (Individuals encouraged to take responsibility for own health, not all may be equally able to do this)
Individualising pathology