Study Designs - Lecture Twenty-One Flashcards

Randomised Controlled Trials

1
Q

Only thing better than a randomised controlled trial?

A

Having more than one randomised controlled trial

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2
Q

Observational analytic studies

A

Cross-sectional
Cohort
Ecological
Case-control

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3
Q

Intervention analytic studies

A

Randomised controlled trials

Non-randomised controlled trials

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4
Q

Randomised

A

Participants randomly allocated to groups

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5
Q

Controlled

A

There’s a comparison (control) group

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6
Q

Trial

A

Testing effect of treatments/interventions

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7
Q

What is the exposure determined by in observational studies?

A

Luck, environment, by people themselves

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8
Q

Why do we randomise?

A

People who decide to take a treatment are often different to those who don’t e.g. age, sex, health risks, views of the health professions treating them, health beliefs and habits

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9
Q

Random allocation

A

Each participant has an equal chance of being in either group, if enough people are randomised then both known and unknown confounders should be balanced

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10
Q

Variants of randomisation

A

Cluster

Stratified or Block Randomisation

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11
Q

Cluster

A

Entire practices are randomised to treatment or control. All participants in each practice get the same intervention and GPs don’t have to do different things for different patients.

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12
Q

Stratified or Block Randomisation

A

Participants are randomised to treatment or placebo in blocks (or strata) at each hospital. Differences between hospitals will be balanced between treatment and control groups

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13
Q

Cross-over studies

A

Each person gets both treatments - confounding is effectively eliminated, however, this can only be done for long-term conditions and treatments that are not curative

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14
Q

How do we preserve the benefits of randomisation

A

Concealment of allocation

Intention-to-treat

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15
Q

Concealment of allocation

A

Make sure that people can’t cheat and pick the treatment that they prefer, otherwise bias could be introduced

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16
Q

Intention-to-treat analysis

A

Once participants have been randomised, you don’t change the groups

17
Q

Intention-to-treat analysis information

A

Analyse participants as randomised
Reflects the ‘real-world’: people often don’t take treatments
Difficult if data are missing – you can’t analyse data you don’t have

18
Q

Per-protocol analysis information

A

Analyse as treated (not necessarily as randomised)
Lose the benefit of randomisation
Can be appropriate for efficacy trials

19
Q

Potential source of bias

A

Lack of blinding
Loss of follow-up
Non-adherence

20
Q

Lack of blinding

A

If participants (or researchers) know which treatment they are on, they may act differently

21
Q

Loss of follow-up

A

If people withdraw because of side effects, we may underestimate the harms of treatment.
Confounding and bias may occur if there is loss to follow-up

22
Q

Non-adherence

A

If people don’t take the treatment, we will not learn about its true benefits and harms

23
Q

Non-adherence

A

Participants often don’t do what you ask them to: Some only take some treatment or stop it altogether, some don’t turn up for appointments, or some take alternative treatments (including the intervention or control). If there is too much non-adherence, it is difficult to interpret the study

24
Q

Strengths of randomised controlled trials

A

The best study design to test an intervention
Well conducted studies should eliminate confounding and bias
You can calculate Incidence, Relative Risks, and Risk Differences
The strongest design for testing cause-and-effect associations

25
Clinical equipoise
Genuine uncertainty about benefit or harm of intervention
26
Unethical to
Give known harmful interventions to people Give interventions known to be less effective than current treatments Waste resources and risk harm if we already know the answer
27
Practical issues about randomised controlled trials
Can be very expensive | Often funded by pharmaceutical companies
28
Practical issue: Can be very expensive
May need large numbers of participants Ensure complete follow-up Can take a long time
29
Practical issue: Often funded by pharmaceutical companies
Potential for big profits if the drug works | Unlikely to fund studies of cheap treatments with little chance of profit
30
Limitations of randomised controlled trials
Often no representative | Not efficient for rare outcomes