4. Descriptive epidemiology Flashcards

1
Q

Target population =

A

People you want to apply your results to
(e.g. everyone living in australia)

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2
Q

Source population/sampling frame =

A

People from whom the population is selected
(e.g. everyone on autralian election roll)

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3
Q

Sample =

A

People approached tot ake part in the survey
(e.g. random sample of those listed)

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4
Q

Study population =

A

People who actually took part in the survey

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5
Q

What is the real strength of randomization?

A
  • The real strength of randomisation is that, on average, it will also balance these other unknown or poorly measured factors across the groups.
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6
Q

Why is it important to have large groups in an RCT?

A

If the groups are small it is unlikely that all of the factors that could affect the outcome will be evenly distributed across the groups.

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7
Q

Of non-randomised designs, the most common are historical controls.What happens in such a design? What are these designs also called? Name an example.

A

> health outcomes after introduction of a new treatment/preventive measure are compared to the outcomes experienced by the same population before the change in practice
(also sometimes called a pre–post study)

e.g. patient survival rates might be compared before and after the introduction of a new surgical technique

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8
Q

What is a major problem with historical controls?

A

Assumes that the only (or most important) thing that has changed is the new legislation or the type of surgery, and that may not be the case.

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9
Q

Why must participants be free of the outcome of interest at the start of the follow-up of a prospective/longitudinal cohort study?

A

to avoid reverse causality

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10
Q

What are advantages of the prospective cohort study design?

A
  • Outcome bias is prevented. Measurement of exposure is not biased by knowledge of outcome status.
  • Multiple outcomes/risk factors in single study
  • Rare EXPOSURES (do not read: diseases) can be studied
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11
Q

What are disadvantages of the prospective cohort study design?

A
  • People may have changed their behaviours over the intervening years (misclassification)
  • Not good rare diseases
  • follow-up time long enough?
  • Costs
  • Ensuring people who started to stay till the end: who is lost to follow up?
  • Confounding in exposure/non-exposed? (e..g who are those who regularly use and those who do not regularly use their phones?)
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12
Q

What are limitations to the retrospective/historical cohort design?

A
  • requires good records of past exposure
  • generally limited to studying mortality or cancer outcomes, given the lack of universal records for other non-fatal endpoints
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13
Q

Shape case-control?

A

disease/no disease > exposure

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14
Q

Adv case-control study?

A
  • Quicker
  • Good for rare outcomes
  • often less burden to participants
  • cheaper
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15
Q

What is a disadvantage of selecting hospital controls in case-control group?

A

Drawback: their risk factor distributions may not reflect that of the source population from which the cases emerged

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16
Q

Disadv case-control study?

A
  • Selection bias in case (survivor effect) and control groups (risk factors not like source population)
  • Recall bias
  • not good rare exposures
  • Reverse causation
  • Not able to calculate RR - you cannot calculate the incidence
  • Confounding
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17
Q

Cross-sectional study: characteristics and major issue?

A
  • may be conducted to gather information about any aspects of health and lifestyle
  • participants should be recruited without knowledge of their exposure/disease status
  • Reverse causality (establishing temporality) = major issue
18
Q

What type of data can you use for an ecological study?

A
  • Can only use generalized, already existing data
19
Q

Why do we need descriptive data?

A

● To evaluate the occurrence of health behaviours and health conditions (disease)
- Time trends
- Specific population subgroups
● To provide a basis for planning and evaluation of interventions
● Descriptive data can be used for further analytic studies

20
Q

Name three types of descriptive studies

A
  • Case reports / series
  • Prevalence studies / surveys
  • Health registries / routinely collected data
21
Q

What is meant with case reports/series?

A
  • Detailed report of symptoms, diagnosis, treatment, and follow-up of individual patient(s)
  • Important for the early identification of health problems (e.g AIDS)
  • Can generate hypotheses about potential causes
  • Case report: on 1 patient
  • Case series: on more patients
22
Q

What is meant with a prevalence study/survey?

A
  • Presence of a condition at a particular point in time (point prevalence) or period (period prevalence) in a defined population
    ● Total number of people with certain disease
    ● Distribution of risk factor (e.g. smoking, blood pressure, obesity) or other characteristic (e.g. seat belt use)
23
Q

By what factors is prevalence influenced?

A

● Incidence
● Disease duration
● Other factors, e.g. likelihood of diagnosis

24
Q

Why are prevalence studies important?

A
  • To assess the burden of disease in a population and to assess the need for health services
  • To compare the prevalence of disease across populations
  • To examine time trends in disease prevalence or severity
25
Q

What happens when changes in diagnostic criteria for diseases and changes in coding procedures for morbidity take place?

A

Can lead to ‘artificial’ changes in prevalence (and incidence) figures.

26
Q

Name four examples of health registries/routinely collected data

A
  • Mortality records
  • Hospitalisation records
  • GP records
  • Cancer screening data
  • Birth records
  • Child care data
  • Infectious disease surveillance
  • etc.
27
Q

Shape of a cross-sectional study?

A

Defined population > Gather data on exposure + disease simultaneously > four groups (all needed): + exp + disease, + exp - disease, - exp - disease, - exp + disease

28
Q

Shape of a prospective cohort study?

A

Defined population > choice/circumstance > 2 groups: exposed vs non-exposed > 4 groups (2 each): disease and no disease.

E.g. Choice: smoking.
2 group: smoking, non-smoking
4 groups: disease, no disease.

29
Q

Shape of case-control study?

A

Retrospective

Defined population >looking back at cases and controls > each having 2 exposed and non-exposed groups

30
Q

RCT shape?

A

Defined population > random allocation > 2 groups: exposed vs non-exposed > 4x disease vs not diseased

31
Q

Which study designs are observational: analytical/descriptive, which are experimental?

A

Descriptive, Analytical:

Cohort
Case-control
Cross-sectional

Descriptive, observational:
With no comparison group

Experimental:
RCT, non-RCT

32
Q

What is a cross-over design also called?

A

Two-period design or AB/BA design

33
Q

What are conditions for a cross-over study? What is the period called between treatment and control period?

A
  • Can only be used if the exposure has no long lasting effect
  • Can only be used for outcomes that are reversible and that can change within a short time period

‘wash-out’ period

34
Q

What is a community trial? By whom is it executed? What is usually the purpose?

A
  • Trial in the population, often focused on primary disease prevention
  • Unit of randomization are communities (e.g. towns, schools), not individuals

-> Intervention is provided by e.g. GPs, community health centers, local outpatient facilities.

  • Suitable design for testing lifestyle interventions that cannot be allocated to individuals
35
Q

Quasi-experimental study = ? Why use it?

A

studies that aim to evaluate interventions but that do not use randomization.
-> are less expensive and require fewer resources

36
Q

Disadv RCT?

A
  • Relatively high costs
  • Rare disease outcome cannot be studied because of limited duration
  • Cannot be used for non-modifiable risk factors (e.g. genes, birth weight)
  • May be unethical, e.g. virus infection, smoking, sexual behavior
  • Wrong ‘time window’ of exposure
  • Not the full range of exposure can be studied
37
Q

What study design to use when studying non-modifiable risk factors?

A

Cohort study

38
Q

Purpose cohort study? Example?

A
  • Evaluate the occurrence of disease in a carefully defined group of people (monitoring)
  • To investigate the causes of disease and to establish links between risk factors and health outcomes (etiology)

EPIC (europe)

39
Q

What do you do in a historical cohort study?

A
  • Identify a population and observe events as they occur
  • Retrospectively determine their exposure status from historical records
40
Q

Drawbacks Ecological study?

A
  1. Populations differ in many ways other than the characteristic of interest
  2. Results may not apply to the individual.
41
Q

Cross-sectional study: adv vs disadv?

A

Adv:
- relatively simple
- cheap
- quick
- minor ethical issues

Disadv:
- not rare disease
- hard to establish temporality (which came first: exp-disease ?)

42
Q

Nested case-control study = ?

A

Cases of a disease that occur in a cohort are identified and, for each, a specified number of matched controls is selected from among those in the cohort who have not developed the disease by the time of disease occurrence in the case