Session 6 Screening

Cards (23)

  • Disease Detection - three methods:
    • Spontaneous presentation
    • Opportunistic case finding
    • Screening
  • Systematic attempt to distinguish between apparently well persons who are considered likely to have the disease in question, from those considered not likely to - screening
  • Advantages of Screening?
    • Early detection and treatment
    • Prevention and Risk Reduction
    • Public health benefits
    • health education and awareness
    • Cost-effective
  • Disadvantages of screening?
    • False positives and negatives
    • Overdiagnosing and overtreatment
    • Ethical considerations
    • Resource allocation
    • Logistical challenges
  • NHSPopulation Screening Programmes :Screening for Adults
    1. Diabetic eye screening (from age 12 and above annually)
    2. Cervical cancer
    3. Breast cancer
    4. Bowel cancer
    5. Abdominal Aortic Aneurysm (AAA)
    • Breast cancer screening is offered to women aged 50 to 70 -Women aged 70 and over can self-refer.
    • Cervical screening is offered to women/people aged 25-64 - Every 3 years between the ages of 25-49 years, and - Every 5 years between the ages of 50-64 years.
    • NHS bowel cancer screening is offered to people aged 50 or over - 50 to 74, you'll automatically be invited to do a home testing kit every 2 years (FIT test) - Over 75, you can ask for a kit every 2 years by calling.
    • AAA - all men at 65 offered a single ultrasound screening scan.
  • Screening in pregnancy?
    • Infectious diseases (hepatitis B, HIV and syphilis)
    • Fetal Anomaly screening (Down's syndrome T23, Patau's syndrome T13 and Edwards' syndrome T18)
    • Sickle cell disease and thalassaemia
    • 20-week scan to check the physical development of the baby
    • Diabetic eye screening if you are pregnant and have type 1 or type 2 diabetes
  • Screening for newborn babies?
    • Physical examination, which includes the eyes, heart, hips and testes.
    • Hearing test
    • Blood spot test to check if the baby has any of 9 rare conditions (e.g Sickle cell disease, Cystic fibrosis, Congenital hypothyroidism, phenylketonuria, medium-chain acyl-CoA dehydrogenase deficiency, maple syrup urine disease, isovaleric acidaemia, glutaric type 1, homocystinuria).
  • Criteria for screening programmes: Wilson & Jungner criteria
    • Disease/condition
    • Test
    • Treatment
    • Programme
    • Implementation criteria
    • Test validity represents the extent to which a test measures what it intends to measure.
    • Can be thought of as the accuracy of the test.
    • Measured by sensitivity and specificity.
    • Determined by comparing a new test with the gold standard test.
  • Sensitivity: The ability of a test to correctly identify an individual as having a disease. These are individuals who actually have the condition (e.g., a disease) and test positive for it.
  • Sensitivity= true positives / (true positives + false negatives)
  • Specificity: The ability of a test to correctly classify an individual as ‘disease-free’.
  • Specificity= true negatives / (true negatives + false positives).
  • a highly specific test can help to rule in a disease when positive.
    A highly sensitive test can help to rule out a disease when negative.
  • Positive predictive value (PPV): The proportion of test-positive individuals who actually have the disease. A measure of how accurate a positive test result is likely to be.
  • PPV =truepositives/ (true positives + false positives)
  • Negative predictive value (NPV): The proportion test-negative individuals who reallydo not have the disease. A measure of how accurate a negative test result is likely to be.
  • NPV =true negatives / (true negatives + false negatives)
  • Where earlydiagnosis falsely appears to prolong survival: lead time bias.
  • Screening programmes better at picking up slow growing, unthreatening cases than aggressive, fast growing ones : Length time bias
  • Studies of screening often skewed by ‘healthy volunteer’ effect : selection bias
  • Evaluation difficulties?
    • Lead time bias
    • Length time bias
    • Selection bias
    • Morbidity vs mortality
    • Population diversity and equal access.