Understanding sensitivity and specificity Flashcards
How is the sensitivity of a test determined?
By dividing the number of people who test positive in the diseased group by how many are actually diseased x100 to get a percentage of diseased correctly classified.
How is the specificity of a test determined?
By dividing the number of people who test negative in the non-diseased group by how many are actually non-diseased x100 to get a percentage of non-diseased correctly classified.
When using a highly sensitive test with low specificity, is it more helpful if the result is negative or positive?
Negative
High sensitivity means there is a very low risk of false negatives so diseases can be ruled out if a negative result comes from a highly sensitive test.
When using a highly specific test with low sensitivity, is a negative or positive result more useful?
Positive.
High specificity tests have a low level of false positive results. Therefore a positive result means there is a high chance the patient has the disease.
What is more useful when using a test in diagnosis, specificity and sensitivity of tests or predictive values?
Predictive values
When a patient presents, we do not know if they have the disease or not so don’t know if they will receive a true or false result upon testing. Predictive values give a percentage that the outcome is a positive or false result.
What is a positive predictive value?
The proportion of people with a positive test who are actually have the disease.
What is a negative predictive value?
The proportion of people who test negative who don’t have the disease
What is the difference between a negative predictive value and a post-test probability of disease given a negative result?
They are opposites. The negative predictive value is the probability you do not have the disease if you test negative and the post-test probability is the probability you do have the disease despite a negative result. If one was 20% the other would be 80%.
What factor is the usefulness of a test results for a patient dependent on? Why?
The prevalence of the disease amongst the population being tested because predictive values will change between populations with a high prevalence of disease and low prevalence of a disease so the probability of the individuals result being true is dependent on disease prevalence.
What is the role of screening?
To detect disease early to minimise emergence of symptoms +/- complications and to screen for asymptomatic disease.
What category of prevention is screening?
Secondary category of prevention
What are the 11 current screening programmes in the UK funded by the NHS?
1.Abdominal aortic aneurysms
2.Bowel cancer screening
3.Breast screening
4.Cervical screening
5.Diabetic eye screening
6.FASP (foetal anomaly screening programme)
7.IDPS (infectious diseases in pregnancy screening)
8.NIPE (newborn and infant physical exam)
9.NHSP (newborn hearing screening programme)
10.NBS (Newborn blood spot test for CF and other metabolic conditions)
11.SCT (sickle cell and thalassaemia)
What is the difference between screening and diagnostic testing?
Screening only identifies risk of disease, diagnostic testing helps determine the presence of disease.
What is the screening sieve?
A diagrammatic representation of screening programmes separating those at risk from those at low risk in order to provide further testing and support if necessary to high risk individuals.
What are some benefits of screening programmes?
Earlier diagnosis
Earlier treatment (can be more effective +/- less invasive)
Often better prognosis preventing deaths
Reduce risk by removing risk factors e.g. removing polyps