EH1 Week 4 Flashcards

1
Q

what are the 2 classifications of studies

A

qualitative
- larger population
- results are assessed using statistical methods

quantitative
- smaller population

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2
Q

what are the 2 types of quantitative studies

A

descriptive and analytical

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3
Q

what are the subcategories of descriptive studies and their main features

A

case study
- study of one patient
- May generate a hypothesis about an association between exposure and disease

case series
- Small collection of cases with common characteristics
- Also generates a hypothesis about exposure and disease

cross sectional survey
- analyses data from a population at a single point in time

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4
Q

what are some features of descriptive studies

A

o Cannot quantify the relationship between factors, only describes what is happening
o Used to generate a hypothesis
o Cannot prove or confirm hypotheses

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5
Q

what are some features of analytical studies

A

o Used to test hypothesis or causal relationships
o Assesses the relationship/association between a study factor and an outcome

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6
Q

what are the types of analytical studies

A

case control study and cohort study

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7
Q

what is a case control study

A
  • Disease present = case
  • Disease or no disease is the study factor
    Exposure is the outcome of interest
  • Case-control studies are always retrospective, because they start with the disease.
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8
Q

what is a cohort study and its subcategories

A
  • Disease absent = control
    *. Exposure is the study factor, disease is the outcome of interest
  • retrospective and prospective
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9
Q

what is a retrospective cohort study

A

Uses existing data that was collected in the past.

outcome has already occurred

no future follow up

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10
Q

what is a prospective cohort study

A

the study proceeds forward in time. Looks for
disease occurring in the future.

includes randomized control trial which is the only interventional study

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11
Q

what are the 3 types of bias

A

selection bias, information bias and confounding

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12
Q

what is a section bias

A
  • the way that people are selected
    into the study distorts the estimate of association
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13
Q

what is information bias

A
  • Occurs when information is collected
    differently between two groups leading to an error in making an association. People may recall exposure more if they have the disease
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14
Q

what technique can be used to prevent information bias

A

blinding

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15
Q

what is confounding

A
  • occurs where an apparent association between a presumed exposure and an outcome is accounted for by a third variable.
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16
Q

what can cause random error and what reduce the effects of this

A
  • Can occur if the sample size is too small
  • Increasing the size of the study by increasing the number of participants will reduce the effect of random error
17
Q

what is epidemiology and its two categories used to determine it

A

the study of disease frequency

incidence and prevalence

18
Q

what is incidence

A

number of new cases arising in a given period of time

tells us the number of people at risk of the event or the disease happening (time must be mentioned)

19
Q

what is age standardizing

A

can be used to prevent age structure being a confounding factor

20
Q

what is prevalence

A

looks at the number of existing cases in a given period of time (%)

Used for chronic stable disease and not acute conditions like the flu