Randomised Control Trials, Design And Conduct Flashcards

1
Q

Definition of randomised control trial

A

A planned experiment in humans designed to assess efficacy of treatment/intervention

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2
Q

Definition of equipoise

A

No existing evidence that the intervention being tested will be superior to existing treatments/effective in all

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3
Q

Definition of randomisation bias

A

Bias that could arise when the characteristics present in both randomly generated groups are not equal

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4
Q

Definition of cluster randomisation

A

Intervention that groups of individuals receive is randomly allocated

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5
Q

Definition of power

A

1-probability of a false negative/TII error

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6
Q

Definition of significance

A

Probability of a false positive/TI error

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7
Q

Definition of allocation bias

A

Bias that arises when investigators know/predict which intervention that the next participant will get

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8
Q

What is an RCT
When is this ethically justified
How are these results used

A

Planned experiment in humans designed to assess efficacy of treatment/intervention

Ethically justified in equipoise exists

Provides evidence on which clinical treatments and health policy decisions are based

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9
Q

How are RCTs used in drug trials

A

Used in all 4 phases
Phase I, safety
-small group of healthy humans
-check PK

Phase II, efficacy
-medium group of patients

Phase III, confirm results
-large group of patients from a wider population

Phase IV, safety monitoring
-In patients for rare adverse effects

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10
Q

What are 5 other ways of using RCTs

A
Methods f diagnosis
Methods of organising care
Methods of disease screening
Methods fo disease prevention and health promotion
Efficacy of health care policies
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11
Q

Why is randomisation important in an RCT

A

Random allocation to a control and investigational group
Reduces bias as each group is likely to have a similar distribution of different characteristics
In a large sample size, different characteristics will have a small effect
Any differences in outcome must be due to intervention

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12
Q

What is cluster randomisation and when is it often used

A

Groups of individuals are randomly allocated to different interventions
Often used in public health

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13
Q

What are the 5 questions you must address when designing a RCT

A
What is the question
Population of interest
Intervention?
Comparison?
Outcome assessment of intervention?
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14
Q

What 5 factors must you consider when defining inclusion and exclusion criteria

A
Diagnosis
Age
Sex
Comorbidities and severity
Recruitment location
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15
Q

What 4 factors dictate the total no of participants

A

Size of expected effect

  • if large => small cohort
  • if small => large cohort

Statisticians consulted for

  • potential SD
  • power and significance of results

SD

  • if expected to be large => large cohort
  • if expected to be small => small cohort

Power
-if power small => large no

Significance
-to make p value more significant => large no

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16
Q

What is the difference between power and significance

What power and significance values are acceptable

A

Power

  • 1-probability of a FN
  • 80-90%

Significance

  • probability of a FP
  • p<0.05
17
Q

Describe the process of randomisation

How are the group numbers made similar

A

RNG with computer
Results concealed from recruiter, prevent allocation bias
Randomisation in blocks make group no’s similar

18
Q

What are the 2 types of control treatment

A

Treatment benefit not established
-placebo must be physically similar to active drug but inactive

Treatment benefits established
-best existing treatment used for comparison

19
Q

What are the 5Ds used in assessing the outcome

A
Death
Disease activity/recurrence
Disability
Distress
Discomfort
20
Q

What are the primary outcome measures

What are the 3 characteristics of a primary outcome measure

A

Must be clinically relevant
Objective and independent of treatment
easy and accurate to measure

21
Q

What is the 2 types of blinding

Why is this important

A

Single blinding

  • patient/physician unaware of treatment
  • avoids participation bias

Double blinding

  • patient and doctor are unaware of treatment
  • avoids physician associated bias