Midterm 2 Flashcards
What is the ultimate goal in Epidemiology?
To control and prevent disease and to improve health.
Why are there no tertiary prevention screening program?
Tertiary is to keep the patient comfortable. There is no cure or disease cannot be treated.
What is the purpose of screening?
To reverse, halt, or slow down the disease process by detecting it as early as possible in the natural history of that disease.
What is the assumption in screening?
Early detection will lead to treatment which will be more effective than later detection.
Give two examples of successful screening programs.
- Breast cancer.
- Prostate cancer.
- Cervical cancer.
- HIV screening.
- Tuberculosis screening.
What is the difference between screening test and diagnostic test?
Screening test is used to detect early disease or risk factors for disease in large population. Diagnostic test is to establish the presence or absence of a disease.
What are two measures of Validity?
Sensitivity (SE): the ability of a test to correctly identify those with a disease.
Specificity (SP): the ability of a test to correctly identify those do not have a disease. SE and SP are independent of each other.
How do you calculate Sensitivity?
How do you calculate Specificity?
DISEASE NO DISEASE
**POSITIVE A B **A + B
**NEGATIVE C D ** C + D
A + C B + D
SENSITIVITY (SE) = A/(A + C)
How good is the test in correctly identifying those with the disease?
SPECIFICITY (SP) = D/(B+D)
How good is the test in correctly identifying those without the disease?
A certain screening test has a sensitivity of 90% and a specificity of 75%. Interpret these values.
The test was accurate in identifying 90% of the disease and 75% of the non-disease.
What are true positives and true negatives?
True positive: (Box A) sick people correctly identified as sick.
True negative: (Box D) healthy people correctly identified as healthy.
What are false positives and false negatives?
- False positives are healthy people incorrectly identified as sick.
- False negatives are sick people incorrectly identified as healthy.
What is Overlapping Distributions
- Most screening test do not produce “either or” results
- There is a set of vallues where persons with and without the disease overlap
- Point where healthy and sick connect
Cutoff Point
Specific value for where a screening test is considered to be positive (and also negative) for disease
How do we determine the best cutoff point to decide positive or negative screening results?
By finding the compromise between SE and SP. Choice of cutoff point results in misclassifying some diseased cases as non-diseased and vice versa
Predictive Value Positive
Percent of all people who test positive that truly have the disease
Predictive Value Negative
Percent of all people who test negative that truly do not have the disease
How do you calculate predictive value positive and predictive value negative?
DISEASE NO DISEASE
POSITIVE A B A + B
NEGATIVE C D C + D
Predictive Value Positive (PVP): A/(A+B)
Predicitive Value Negative (PVN): D/(C+D)
How do you interpret predictive value positive and predictie value negative?
A patient who tests positive has a (69.6%) probability of having the disease.
A patient who tests negarive has a (98.8%) probability of not having the disease.
How does prevalence affect the predictive values?
The predictive values are dependent on prevalence.
What are the criteria for a successful screening program?
- Disease should be an important health problem
- Accepted treatment for patients with disease
- Available treatment for diagnosis and treatment
- Effective intervention
Define Prognosis
A prediction of the probable course and outcome of a disease.
The likelihood of recovery from a disease.
When does preclinical phase begin?
Biologic onset of disease
What is the middle of the pre-clinical phase?
Pathologic evidence of disease
When does the clinical phase begin in the natural history of disease?
Signs and symptoms of disease
What is the middle to end of the clinical phase?
- Medical care sought
- Diagnostic
- Treatment
Where can we get survival data?
CDC, WHO, State and National Public Health Department