Session 6: Screening Flashcards
Describe Spontaneous Presentation and Opportunistic Case Finding in Detection of Disease
Spontaneous Presentation
- Person presents with symptoms (self-defined as a patient) to GP, A&E or other services. CONTACT is SOUGHT.
- A diagnosis is made
Opportunistic Case Finding
- Person presents with symptoms related to a disease/problen
- GP takes opportunity to check for other diseases - BP measurement, Urine dipstick
What is meant by diagnosis?
- Diagnosis: the definitive indentification of a suspected disease or defect by application of tests, examinations or other procedures (which can be extensive) to definitely label people as either having a disease or not having a disease. (2 separate, clear groups)
- Treatment will follow the diagnosis. The ‘patient’ will be prepared to accept the (reasonable) risks (side-effects) associated with the treatment in order to get well
What is Screening?
- A systematic approach to detect an unrecognised condition by the application of tests, examinations or other procedures, which can be applied rapidly (and cheaply) to distinguish between apparently well persons who probably have a disease (or its precursor) and those who probably do not.
- NOT DIAGNOSIS
- Following screening, the person is labelled as “screen positive” - this does not mean that they definitely have the disease. Further tests are required before the diagnosis of disease is made (confirmation).
- Treatment will only follow once a definitive diagnosis is made.
- National Screening Committee’s Definition of Screening: Screning is a public health service in which members of a defined population, who do not necessarily percieve they are at risk of, or are already affected by a disease or its complications, are asked a question or offered a test, to identify those individuals who are more likely to be helped than harmed by further tests or treatment to reduce the risk of a disease or its complications.
What is the Purpose of Screening?
- To give a better outcome compared with finding something in the usual way (having symptoms and self-reporting to health services).
- If treatment can wait until there are symptoms, there is no point in screening,.
- Finding something earlier is not the primary objective.
- Screening tests are usually less invasive than confirmation tests e.g. mammography in breast cancer is less invasive than fine needle aspiration, faecal occult blood is less invasive than colonoscopy in bowel cancer.
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Describe AAA Screening
- Ruptured abdominal aortic aneurysm is responsible for the premature death of more than 4,000 men annually in England and Wales.
- Scheduled treatment of unruptured AAA low risk
- High risk for ruptured AAA
- All men in England are offered a single ultrasound screening scan when they are 64 (non-invasive).
- Benefit: reduces risk of death from rupture by about half
Risks
- 238 men need to be invited to screening to prevent one ruptured AAA in next 10 years. (You need to treat a lot of people in order to improve outcomes).
- Approximately 1 in 10,000 will attend for screeing, have a large AAA, and then undergo treatment which is complicated by death.
- Quality of life is impaired (at least short-term) for those who have treatment.
- Some cannot tolerate anxiety of knowing they have a small AAA.
What is the four criteria for screening programmes?
- Disease / condition
- Test
- Treatment
- Programme
- Wilson and Junger, WHO 1968*
- National Screening Committee Criteria 2003*
Describe the Disease/Condition Criteria
- Must be an important health problem
- Epidemiology and natural history must be well understood
- Must have an early detectable stage
- Cost-effective primary prevention interventions must have been considered and where possible implemented.
Describe the Test criteria
- Simple and safe (screening healthy people)
- Precise and valid (‘tells the truth’)
- Acceptable to the population (VERY IMPORTANT e.g. faecal occult blood is not very acceptable to some people)
- Distribution of test values in the population must be known (i.e. the proportion who test positive and negative).
- An agreed cut-off level must be defined (who do we count as testing positive?)
- There must be an agreed policy on who to investigate further (i.e. the test positives)
What is meant by False Positives and False Negatives?
- False Positives: well people are referred for further investigation. Puts them through stress, anxiety, inconvenience. Direct costs and opportunity costs. False positives = non-cases who test positive.
- False Negatives: screening programmes fail to refer people who do actually have an early form of the disease => inappropriate reassurance, possibly delay presentation with symptoms. False negatives = cases who test negative
- True Negative: doesn’t have disease, tests negative
- True Positive: does have the disease, tests positive
What are the features of test validity?
Sensitivity (detection rate)
Specificity
Positive Predictive Value
Negative Predictive Value
What is meant by Sensitivity?
- Is the proportion of the people with the disease who test positive - aka detection rate.
- Sensitivity is the probability a case will test positive
- = (A/ A+C) = (true positives)/ (true positives + false negatives)
- If the sensitivity is high then the test is very good at correctly identifying people with the disease you are screening for. A high sensitivity is ideal (although not always possible).
What is meant by Specificity?
- Is the proportion of the people without the disease who test negative
- The proportion of the people who really do not have the disease who are identified correctly by the test as not having the disease
- Probability a non-case will test negative
- = (B/B+D) = (true negatives) / (false positives + true negatives)
- If the specificity is high then the test is very good at correctly identifying people without the disease as not having the disease.
- A high specificity is ideal (although not always possible).
- When the same test is applied in the same way in different populations, the test will have the same sensitivity and specificity.
What is meant by Positive Predictive Value (PPV)?
- Patients want to know “If I am test positive Doctor, do I have the disease?”, “If I am test positive - what is my risk of actually having the disease?”
- Many people assume INCORRECTLY “that because I am test positive, I MUST have the disease.”
- PPV is the probability that someone who has tested positive actually has the disease.
- This value is strongly influenced by the prevalence of the disease. A low prevalence condiiton will have a lower PPV than a high prevalence condition, even if the sensitivity and specificity of the tests are the same.
- Breast cancer prevalance in around 0.6%. PPV is around 8%. For every case found, 11 women who have screened positive will have gone through unnecessary investigations.
- PPV = (a/a+b) = (true positives)/ (true positives + false positives)
- Prevalence = (a + c)/(a + b + c + d) = (true positives + false negatives) / (whole population)
What is meant by Negative Predictive Value (NPV)
- NPV is the proportion of the people who are test negative who actually do not have the disease.
- The NPV is the answer to the question “If the screening test is negative, what are the chances that I really don’t have the disease?”
- NPV = (d/c+d) = (true negatives) / (false negatives + true negatives)
What are the implications of false positive results?
- They will be offered (invasive) diagnostic testing with all its attendant anxieties and risks for a condition they actually do not have. They will be turned into patients, when they are not actually ill.
- May also lead to lower uptake of screening in future and greater risk of interval cancer.
- If the PPV is low, there will be a lot of people with false positive results who undergo stress and unnecessary procedures.