Screening Flashcards

1
Q

Purpose of screening

A

Screening is most often used to select those people who are at higher risk of developing a disease and to offer them a health intervention aimed at prevention by one of two means:
1) Prevention of serious outcomes of existing disease (secondary prevention) example: screening for breast cancer followed by confirmation of diagnosis and early surgical treatment of those with mammograms suggestive of breast cancer.
2) Prevention of the development of a disease (primary prevention) example: screening for high blood cholesterol levels to select people at higher risk of coronary heart disease for health promotion or cholesterol-lowering drug treatment
3) Selection of people fit enough for a job; example: routine health checks for army recruits;
4) Containment of infection; example: screening new nurses or teachers for tuberculosis or food handlers for salmonella

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2
Q

Primary screening

A

Prevention of the development of a disease (primary prevention) example: screening for high blood cholesterol levels to select people at higher risk of coronary heart disease for health promotion or cholesterol-lowering drug treatment.

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3
Q

Secondary screening

A

Prevention of serious outcomes of existing disease (secondary prevention) example: screening for breast cancer followed by confirmation of diagnosis and early surgical treatment of those with mammograms suggestive of breast cancer.

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4
Q

Who gets screened?

A

Screening can either involve the whole population (mass screening) or selected groups who are anticipated to have an increased prevalence of the condition for which screening has been instituted (targeted screening). An example of mass screening would be to measure the blood pressure of all adults in a population. Measuring blood cholesterol in relatives of people with familial hyperlipidaemia is an example of targeted screening.

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5
Q

How do we organise screening?

A

Screening can be organised in a systematic way (for example: a list is kept of all the females in a population and each woman is invited routinely for a first mammography test the week after her fiftieth birthday) or it can be organised opportunistically (for example: a general practitioner gets into the habit of taking and recording the blood pressure of every patient, regardless of the reason for the consultation).

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6
Q

Risks for the individual:

A

 there may be health risk attached to the screening tests (for example: exposure to x- rays or the risk of miscarriage after amniocentesis);
 there may be health risk attached to further confirmatory tests for those with a positive screening result;
 a false positive test may cause unnecessary anxiety;
 there may be other unwanted and unplanned effects of positive test (for example, life
insurance premiums may be increased);
 
a subject with a false negative test may be reassured inappropriately and fail to recognise subsequent warning signs of the disease;
a true positive test may increase anxiety and pose a risk to mental health or quality of life

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7
Q

Over diagnosis

A

Some screen-detected cancers might never have progressed to become symptomatic in the absence of screening, and some people who have cancer detected by screening would die from another cause before the cancer became evident. These cancers cannot be distinguished from other cancers and will thus be treated. This adverse consequence (harm) of screening is called over-diagnosis or over-detection, and is defined as the detection of cancers that would never have been found were it not for the screening test.

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8
Q

Benefits for the individual

A

Early detection
Reduced morbidity
Reduced chance of dying for diseased Reassurance for those with normal results

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9
Q

Risks for the society

A

the opportunity cost of the resources put into screening. For example health care providers can be allocated to screen cigarette smokers for lung cancer. The time and resources devoted to lung cancer screening could have been allocated to other health- promotion activities, some of which could have a greater impact on population health and possibly at lower cost;
the costs of confirmatory tests and of treatment. For example if all adults are screened for raised serum cholesterol levels (a known risk factor for heart disease), then there will be a large increase in the number of people prescribed lipid lowering drugs. Yet, only a minority of these adults taking lipid lowering medication would otherwise have developed heart disease.

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10
Q

Benefits for society

A

Fewer premature years of life lost Economic benefit from these years Reduced cost of treating advanced disease Less transmission (i.e. of infections

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11
Q

Wilson and junger who guidelines

A
  1. The condition being screened for should be an important health problem
  2. The natural history should be well understood
  3. There should be a detectable early stage
  4. Treatment at an early stage should be of more benefit than at a later stage
  5. There should be a suitable test for the early stage
  6. The test should be acceptable
  7. Intervals for repeating the test should be determined
  8. There should be adequate health service provision for the extra clinical workload resulting from the screen
  9. The risks, both physical and psychological, should be less than the benefits
  10. The costs should be balanced against benefits
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12
Q

Determining whether a particular screening programme is of value in a particular community will depend on four main issues:

A
  • feasibility
  • effectiveness
  • cost
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13
Q

Feasibility

A

Feasibility will depend on how easy it is to organise the population to attend for screening, whether the screening test will be acceptable (having one’s mouth checked for dental caries is acceptable to most people, but having a sigmoidoscopy to detect colon cancer is much less acceptable), whether facilities exist to carry out more extensive diagnostic tests on those who are found positive at screening (for example, can the hospitals cope with the expected increase in demand for breast biopsies following a mammography programme), and whether there are sufficient resources available to treat everyone confirmed as positive (for example, can the health services afford to provide cholesterol-lowering drugs to everyone found to have an elevated serum cholesterol level).

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14
Q

Effectiveness

A

Effectiveness is evaluated by the extent to which instituting a screening programme affects health outcomes (i.e. mortality or morbidity). Effectiveness is challenging to measure - particularly when using an observational study design - because of a number of biases:

  • selection bias
  • lead time bias
  • length time bias
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15
Q

Selection bias

A

People who participate in screening programmes often differ from those who do not. Selection bias can work both ways; people who are at high risk may be more likely to come forward (for example, women whose mothers had breast cancer are at higher risk of breast cancer, and are more likely to request screening) or people at lower risk might be more likely to participate (for example, many women at low risk of cervical cancer have a high risk perception, and are more likely request screening).

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16
Q

Lead time bias

A

Because screening identifies disease that would otherwise be identified at a later stage, the longer ‘survival’ time observed for those who were screened may be due to an earlier date of diagnosis, and not because of improved prognosis from earlier treatment.

17
Q

Length time bias

A

Some conditions may be slower in developing to a stage where they threaten health than others. For example, some breast tumours are slower growing, so they spend longer in a preclinical stage. This means slow-growing tumours are more likely to be detected at screening but people with these tumours also have a more favourable prognosis. A screening trial that has detected many slow-growing tumours can incorrectly conclude that screening was beneficial in lengthening the lives of those who were found positive.

18
Q

Cost

A

The cost of programmes is important. However wealthy a society is there is a finite amount of resources available for health care, so the relative cost-effectiveness of a screening programme compared with other forms of health care should always be considered. Costs to be considered will be those relating to the conduct of the screening programme, those relating to the further diagnostic tests required for those labelled positive by the screening programme, and the cost of treating those in whom the disease is confirmed. On the other hand, in the absence of screening and prevention or early treatment of disease, costs will be incurred by the treatment of patients in more advanced stages of disease.

19
Q

Study designs for evaluation of screening effectiveness

A

Cohort studies comparing length of survival in screen detected and non-screen detected cases.
Liable to: lead time bias length time bias

Case-control studies comparing screening history of cases (usually cancer deaths) with age matched controls from the same population who have not died or developed the disease to estimate odds ratio for the reduction in risk due to screening.
Liable to: selection bias, recall bias (cases or their surrogates may have different recall of screening episodes from controls)

Non-randomised trials or cohort studies comparing mortality using historical or neighbourhood controls.
Liable to: selection bias

Randomised controlled trials are the best method where possible.
Selection bias is removed by random allocation to screening or control. Other biases (lead time, length time and diagnosis) are removed when comparing the overall mortality in the two randomised groups but adjustments for lead time and length time still need to be made when comparing the length of survival.
Problems with randomised trials of screening may be:
- Uptake. Factors influencing uptake are complex with psychological and social components as well as the obvious one of the acceptability of the test procedure itself in terms of discomfort. In the Swedish Two County Study (see section 9 below) acceptance rates of up to 90% were obtained. In contrast uptake in the Edinburgh breast cancer screening trial was only 66%. When screening uptake is low, the potential effect size is diluted.
- Contamination of the control group. Awareness of the screening programme may lead subjects in the control non screened group to seek out screening which leads to a further dilution of the expected benefits.
- Sample size. Very large numbers of subjects are often required in screening trials, with increasingly huge numbers for diseases of a lower incidence rate or where the trial is designed to show smaller benefits.
- Equipoise. If a screening programme has already been introduced in a population, despite the lack of experimental evidence it may be considered unethical to subsequently conduct a randomised trial.

20
Q

Validity of a screening test

A

The validity of a screening test is measured by the degree to which it accurately distinguishes between subjects with the condition (that is, the preclinical disease or the risk factor for the disease) and those without. When a screening test incorrectly labels someone as having the condition when further investigation shows that they do not, it is called a ‘false positive’. When a screening test incorrectly labels someone as not having the condition when further investigation (or the subsequent development of the clinical disease) shows that the condition is present it is called a ‘false negative’

21
Q

Sensitivity

A

Sensitivity of a test is defined as the proportion of people with the disease who are test positive. If the sensitivity is low, it suggests that a substantial proportion of cases will be missed. These are the ‘false negatives’.

22
Q

Screening

A

Screening involves identifying unrecognised diseases or risk factors for disease by applying tests on a large scale to a population that does not have clinical symptoms. Screening tests usually seek to identify small groups at high risk of the condition. Further tests are needed to confirm the diagnosis.

23
Q

Specificity

A

Specificity of a test is defined as the proportion of people without the disease who are found test negative. If the specificity is low it suggests that a substantial proportion of people without the disease will be labelled as having the disease. These are the ‘false positives’.

24
Q

Positive predictive value

A

The positive predictive value is defined as the proportion of people found to be test positive who actually have the disease.

25
Q

Negative predictive value

A

The negative predictive value is defined as the proportion of people found to be test negative who do not have the disease.

26
Q

Note

A

Lecture calculations