Research Methodology 5: observational study designs Flashcards

1
Q

What is prevalence ?

A

measures the frequency of “cases” in a given population at a designated time

Prevalence is expressed as a percentage

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2
Q

What is a cross-sectional study?

A

survey or test individuals in a population individually to determine the prevalence of disease

and exposure

The numerator (number of people with the diagnosis) is divided by the denominator (total population) to give the prevalence.

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3
Q

What is point prevalence vs period prevalance?

A

prevalence at a moment in time

However for things that fluctuate (e.g. hayfever)

period prevalence may be used e.g. hayfever symptoms over a summer

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4
Q

What are strengths of cross-sectional studies

A

Measure prevalence and thus disease burden in whole population and subpopulations

Can compare prevalence in exposed and non-exposed to risk factors

Quick and inexpensive

Can be used to initially explore a hypothesis, prior to another type of study

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5
Q

What are weakness of cross-sectional studies?

A

Not suitable for rare diseases

Not suitable for diseases of short duration

Cannot separate cause and effect as they are measured at the same time

Cannot measure rate of new cases arising and any changes therein

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6
Q

Describe cohort studies

A

A group of people is followed through time, and the onset of a disease/health event measured.

The incidence of the event/disease is compared among those exposed and those unexposed to a risk factor.

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7
Q

Define incidence

A

Incidence is the number of instances of illness/disease onset, in a given period in a defined population.

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8
Q

What are the strengths of the cohort study?

A

Can calculate incidence and relative risk

Can offer some evidence of cause – effect relationship i.e. impact of exposure on disease

Can identify more than one disease related to single exposure (and positive outcomes of exposure/s as relevant)

Good when exposure is rare

Minimises selection and information bias

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9
Q

What are the limitations of the cohort study?

A

Potential for losses to follow-up (attrition may differ in exposed versus unexposed / disease versus non, the longer the follow-up the greater the risk of attrition)

Often requires large sample, can take a long time to complete

Less suitable for rare diseases

Expensive

If retrospective, data availability and quality may be poor

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10
Q

What are case-control studies?

A
  • retrospective
  • clearly define two groups at the start: one with the outcome/disease and one without the outcome/disease.
  • look back to assess whether there is a statistically significant difference in the rates of exposure to a defined risk factor between the groups

test association between exposure and outcome of interest

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11
Q

What are strengths of case-control studies?

A

Can offer some evidence of cause – effect relationship i.e. impact of exposure on disease

Can identify multiple exposures (both positive and negative associations, interactions)

Good when disease/outcome is rare

Minimises selection and information bias

Retrospective - cheaper and typically shorter in duration

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12
Q

What are weaknesses of the case control study?

A

Cannot calculate prevalence or incidence

Less suitable for rare exposures

Can be hard to ensure exposure occurred before onset

Retrospective data availability and quality may be poor

Suitable control group may be difficult to find

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13
Q

What is relative risk?

A

Incidence of disease in exposed divided by incidence of disease in unexposed

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14
Q

Odds ratio

A

Odds = outcome of interest / outcomes not of interest
i.e. what are the odds of stroke depending on exposure to exercise?

Odds ratio = odds in exposed / odds in non-exposed

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15
Q

What is the p value?

A

The p value is the probability that the difference observed could have occurred by chance if the groups compared were really alike.

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16
Q

What is meant by confidence intervals?

A

describes the range of values with a given probability (e.g. 95%) that the true value of a variable is contained within that range.

17
Q

What is sensitivity?

A

proportion of women with breast cancer who correctly test positive for the condition

18
Q

What is specificty?

A

proportion of women without breast cancer who test negative

19
Q

What is the Positive Predictive Value (PPV)?

A

likelihood patient with positive test result actually has the disease

20
Q

What is the Negative Predictive Value (NPV)?

A

likelihood patient with negative test result does not have the disease

21
Q

How does prevalence relate to PPV and NPV?

A

As prevalence increases

PPV increases
NPV decreases