Public health deck 2 Flashcards

1
Q

Name 3 types of study design:

A
  1. Ecological
  2. Cross-sectional
  3. Case-control
  4. Cohort
  5. RCT
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2
Q

How is an ecological study carried out?

A

Routinely collected population level data to show trends and generate hypotheses

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3
Q

What type of study looks at the population at a point in time?

A

Cross-sectional or prevalence study

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4
Q

What type of retrospective study compares people with a disease to those without a disease for age, sex, habits, class etc?

A

Case-control study

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5
Q

What type of study follows a population over time to see if they’re exposed to agent in question and if they develop a disease?

A

Cohort or incidence study: prospective

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6
Q

What is a RCT?

A

Population is randomized to either interventional or control group: blind or double-blind trials.

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7
Q

What type of study is also known as an incidence study?

A

Cohort study - follows population over time to see if they’re exposed to the agent in question and develop the disease

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8
Q

What type of study is known as a prevalence study?

A

Cross-sectional study - looks at population at a point in time

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9
Q

Define primary prevention:

A

Preventing disease/condition occurring in the first place

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10
Q

What prevention method are immunisations?

A

Primary prevention

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11
Q

Define secondary prevention:

A

Detecting a disease as soon as possible to alter its course and improve health outcomes

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12
Q

Give an example of secondary prevention?

A

Screening e.g. cervical smear, breast screening programmes

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13
Q

Define tertiary prevention:

A

Slowing down disease progression whilst avoiding complications and helping people to manage their disease effectively to reduce mortality

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14
Q

Give an example of tertiary prevention:

A

Diabetes management e.g. diet advice, exercise programmes, self-monitoring.

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15
Q

Give an example of a population approach to prevention:

A

Dietary salt reduction (preventative measures delivered on population level)

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16
Q

What is high risk approach to prevention?

A

Identify individuals above a chosen cut-off and treat them (e.g. treat those with high cholesterol to avoid heart disease)

17
Q

Prevention paradox?

A

Preventative measure that brings much benefit to the population will offer little to each participating individual.

18
Q

Define screening:

A

Identifying seemingly health individuals at risk of disease

19
Q

4 different types of screening:

A
  1. Population based
  2. Opportunistic
  3. Screen for communicable disease
  4. Pre-employment and occupational
20
Q

Wilson and Jungar criteria for screening (x10):

A
  1. Condition screened for must be IMPORTANT HEALTH PROBLEM
  2. Understanding of NATURAL HISTORY of disease
  3. Detectable at an EARLY STAGE
  4. Treatment should be AVAILABLE
  5. FACILITIES for diagnosis and treatment need to be available
  6. SUITABLE TEST available
  7. Test suitable for POPULATION
  8. AGREED POLICY on who to treat
  9. COST balanced against benefits
  10. Screening is a CONTINUOUS PROCESS
21
Q

Define sensitivity:

A

Proportion of people WITH the disease correctly identified

22
Q

Define specificity:

A

Proportion of people WITHOUT disease correctly identified and excluded from screening test

23
Q

Define positive predictive value (PPV):

A

Proportion of people with a positive test result who actually have the disease

24
Q

Define negative predictive value:

A

Proportion of people with a negative test result who do not have the disease

25
Q

What are the 4 main determinants of health?

A
  1. Lifestyle
  2. Access to healthcare
  3. Genes
  4. Environment
26
Q

What is equity?

A

What is fair and just

27
Q

What is equality?

A

Equal share

28
Q

Define horizontal equity:

A

Equal treatment for equal need

29
Q

Define vertical equity:

A

Unequal treatment for unequal needs (e.g. patient with pneumonia would need significantly different treatment to someone with a common cold).

30
Q

What two factors can impact equity?

A
  1. Spatial - geographical
  2. Social factors - age, gender, class, ethnicity
31
Q

What is a meta-analysis?

A

Statistical tool where one pools all the available results and looks at the effect