INTRODUCTION TO COMPETING PRIORITIES 20/9/16 Flashcards

1
Q

What 3 competing priorities do clinical studies require you to balance? (3)

A
  1. design and conduct a study that provides the correct answer
    - by addressing potential biases
  2. maximise efficient use of resources
  3. comply with ethical, legal, institutional and professional regulations
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2
Q

How do we go conduct studies which allow you to balance the three competing priorities? (7)

A
  1. identify a problem and review previous studies
  2. formulate a question to address a gap in the evidence
  3. select a study design appropriate to this question
  4. sample/select participants/ data sources
  5. collect data/measure variables
  6. analyse and interpret the analysis findings
  7. disseminate the study’s results
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3
Q

What are potential sources of bias in terms of sampling/selection bias?

A
  • external validity = non-representative samples

- confounding = selection influences exposure and outcome

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4
Q

What are potential sources of bias in terms of measurement bias? (3)

A
  1. information bias
    - extent of information varies amongst participants
  2. observer bias
    - influenced by prior knowledge or belief
  3. recall/response/prestige bias
    - influenced by prior knowledge or belief
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5
Q

What are the potential sources of bias in terms of analytical bias? (3)

A
  1. loss to follow up
    - specific participants excluded
  2. omitted variable bias
    - imprecise adjustment for confounding
  3. attributional bias
    - interpretation of causality
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6
Q

What are the potential sources of dissemination bias?

A
  1. publication bias

- eventful results more likely to be published

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7
Q

What is a priori study design and what does it do?

A
  • avoids bias by design
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8
Q

How does a cross-sectional study avoid bias?

A

provides evidence of association with in a sample

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9
Q

How does a case-control study avoid bias?

A

provides evidence of association between samples

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10
Q

How does a cohort study avoid bias?

A

provides evidence of directionality of associations

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11
Q

How does a trial study avoid bias?

A

provides evidence of causality

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12
Q

How does a meta-analysis study avoid bias?

A

provides evidence of reproducibility/generalisability

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13
Q

Which bias is mostly tackled?

A

attributional bias

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14
Q

What is the hierarchy of analytical designs for evidence of effect? (5)

A

Pyramid top

  1. meta-analysis
  2. trial
  3. cohort
  4. case control
  5. cross sectional
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15
Q

What are the two key approaches to studies? (2)

A
  1. inductive reasoning
  • observation
  • pattern
  • tentative hypothesis
  • theory
  1. deductive reasoning
  • theory
  • hypotheiss
  • testing
  • observation
  • reject/not reject
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16
Q

What are descriptive/inductive studies? (2)

A
  • case study/series

- cross-sectional

17
Q

What are analytical/ deductive studies?

A
  1. observational
    - selective sampling
  2. experimental
    - selective exposure