Epi Class 11 Flashcards
Screening
the application of a test to persons without known disease for the purpose of
determining the likelihood that they have the disease.
Screening is a type of secondary prevention.
Screening tests are not diagnostic. Fundamental to screening strategies is the idea that early detection of disease will lead to more favorable outcome
When is screening not appropriate
When there is no effective treatment for the disease
Screening criteria
- The disease should be of public health importance.
- Disease should be SEVERE.
- Disease should have a high FREQUENCY in the population. - There should be an acceptable TREATMENT for individuals with the disease.
- Facilities for diagnosis and treatment should be AVAILABLE to the screened population.
- There should be a recognizable LATENT (early asymptomatic) stage of the disease. (Implies that the natural history of the disease is understood.)
- The screening test should be ACCEPTABLE to the population (in terms of cost, risk, comfort, and the information provided).
- The screening test should be VALID.
Validity
How closely does this test allow us to observe the actual presence or absence of disease?
Does the test really measure what we intend to measure?
Are the classifications of disease status accurate?
Sensitivity
Ability to detect disease in the diseased
The probability that a person with the disease will be classified as having the disease.
A screening test with 90% sensitivity will correctly identify 90% of persons with disease as diseased. The other 10% will be incorrectly identified as non-diseased.
Sensitivity formula
TP / TP + FN
or
A / A + C
TP
Ture Positive
FP
False Positive
TN
True Negative
FN
False Negative
Specificity
ability to detect non-disease in the non-diseased
The probability that a person without the disease will be classified as non-diseased.
A screening test with 95% specificity will correctly identify 95% of persons without
disease as disease-free. The other 5% will be incorrectly identified as diseased
Specificity formula
TN / TN + FP
or
D / B + D
Validity table
look up in notes
Positive Predictive Value (PPV OR PV+)
the proportion of the people who test
positive who actually have the disease
Negative Predictive Value (NPV OR PV–)
the proportion of the people who test
negative who actually do not have the disease