Population screening and interventions Flashcards

1
Q

Which level of prevention is screening?

A

Secondary - prevents disease > illness

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2
Q

Definition of screening

A

Identifying apparently healthy people who have or are at an increased risk of developing disease

Test is not 100% accurate - aim for high Sn, Sp less important

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3
Q

Diabetic eye screening UK

A

Annually for diabetics >12

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4
Q

Cervical screening UK

A

every 3 years 25-49

Every 5 years 50-64

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5
Q

Breast screening UK

A

Every 3 years from 50-71

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6
Q

Bowel cancer screening UK

A

55 - one-off scope

60-74 - every 2years

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7
Q

AAA screening UK

A

Men on 65th birthday

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8
Q

NSC criteria for condition

A
  1. Important health problem
  2. Known natural Hx (incl. carriers)
  3. Primary prevention in place
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9
Q

NSC criteria for test

A
  1. Valid
  2. Acceptable
  3. Agreed cutoff
  4. Agreed diagnostic pathway
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10
Q

NSC criteria for treatment

A
  1. Early intervention -> better outcomes
  2. Agreed health pathway (who is offered treatment and how)
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11
Q

NSC criteria for programme

A
  1. Adequate facilities
  2. All other measures to improve outcome taken
  3. Cost-benefit analysis - outweighing opportunity cost
  4. Benefit > physical and psycho harm from testing
  5. Acceptable to population and professionals
  6. Evidence-based for improved outcomes
  7. Information available to the public re: accuracy and implications
  8. Quality assurance plan
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12
Q

Potential biases in screening programme evaluation

A

Self-selection: Healthier people more likely to participate in screening

Lead time bias - increased survival length due to earlier dx rather than improved outcome, look at mortality rate instead

Length bias - improved survival from detecting longer conditions (e.g. slow-growing, less aggressive cancers)

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13
Q

Population attributable risk

A

Risk in whole population (Exposed + unexposed) - risk in unexposed

c.f. attributable risk E-U

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14
Q

Population attributable fraction

A

PAR/risk in whole population

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15
Q

Nuffield ladder of population-level health interventions

A
  1. Do nothing
  2. Inform and educate
  3. Enable choice
  4. Make healthier option the default option
  5. Incentivise healthier options (financial or other)
  6. Disincentivise unhealthy options
  7. Restrict choice
  8. Eliminate choice
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16
Q

Drawbacks of natural experiments for assessing population-level health interventions

A

Use before-intervention as control

Increasing noise to get from exposure > health outcome as loss of control > insufficient power for distal relationships

Cannot establish causality

17
Q

Preventable fraction

A

Mathemeatially identical to RRR

Absolute risk reduction / event rate

18
Q

Attributable risk

A

Absolute risk: Exposed - unexposed

19
Q

Attributable fraction

A

attributable risk / risk in exposed population

20
Q

relative risk reduction

A

absolute risk reduction / total risk in exposed population