EIP - Bias - Week 3 Flashcards

1
Q

When deciding on the specifics for a given intervention, what five factors should be given consideration to?

A

Cost of the intervention
Sample size of the intervention group
Sample size of the control group
Length of the study
All the overheads associated with the study

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2
Q

Define selection bias. When does it occur?

A

A bias that occurs when subjects selected into a trial habe characteristics different to those intended.
Occurs during selection.

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3
Q

Define referral bias. What kind of bias does it fall under? When does it occur? Why does it occur? Describe what patients with this bias are like.

A

It is a special kind form of selection bias, and is due to the recruitment of subjects from referral centres.
These patients tend to be more severely affected by the disease in question and this causes a bias in the result different to the general population.
Occurs during selection.

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4
Q

Define spectrum bias. What kind of bias is it similar to? How does it occur? When does it occur?

A

Very similar to referral bias. Has a similar effect on the external validity of the trial.
Occurs when subjects are recruited from patients with classic or severe symptoms of the disease.
Occurs during selection.

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5
Q

Define membership bias. How does it occur? What two study categories is it more likely to affect? When does it occur?

A

This bias occurs if the groups chosen for the intervention and control are selected from different subgroups and have different health/socio-economic characteristics etc.
More likely to affect cohort studies and case-control studies.
Occurs during selection.

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6
Q

Describe baseline assessment. How does good randomisation fit in with this process?

A

Assess and record the factors that might affect the outcomes for each subject.
These can be compared to assess whether you have good randomisation.

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7
Q

How is baseline assessment and comparison usually done in randomised controlled trials?

A

Typically is first listed in a table (usually Table 1) then comparisons are made in the discussion

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8
Q

Can adjustments be made t data analysis if required by basline assessment and comparison, or are studies prematurely ended if important differences are found between trial groups?

A

Adjustments can be made in retrospect
It is never as good as having similar groups to begin with

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9
Q

What is the key method to reducing bias and when should it be done? What does this process achieve? What can be done to demonstrate whether it has worked?

A

Randomisation
Should be done after enrolment
Generates groups that are similar in all characteristics except the intervention
Statistical tests can be done to demonstrate whether it has worked

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10
Q

If a statistical test has been done to demonstrate randomisation, does this mean there is no possible confounding? Explain.

A

No, 1 in 20 of these comparisons will be statistically significant at p<0.05 simply by chance

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11
Q

Define confounding.

A

It is the presence of certain variables that influence the effect you are studying

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12
Q

Can confounding be mitigated by limiting the subject’s characteristics using multiple exclusion criteria? Explain.

A

No, this would limit the external validity of the study and narrow the usefulness of the results

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13
Q

Describe fixed allocation for randomisation.

A

Assigns the subjects to an intervention depending on a pre-specified probability (ie a coin toss)

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14
Q

Define block randomisation. and what it is used for.

A

Used to ensure more equal numbers across groups.
Order in which the intervention is assigned is randomly allocated with each block of subjects.

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15
Q

which studies is stratified randomisation used in and does it achieve equal distribution in all baseline factors across all sample sizes?

A

Used in smaller studies
Randomisation may not achieve equal distribution of baseline factors if the sample size is small

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16
Q

Describe adaptive randomisation.

A

Allocation probabilities changed as the allocation proceeds, in the case of imbalances of numbers or in baseline characteristics.

17
Q

Describe contamination bias.

A

Occurs when the intervention group and the control are inadvertently exposed to the same therapy.

18
Q

Describe co-intervention bias.

A

A special case of contamination that happens unintentionally when an intervention group receives an addtional intervention or different care to which they are assigned.

19
Q

How can contamination and co-intervention bias be avoided (3)?

A

Clear group assignment
Careful blinding for all subjects
Careful monitoring of therapies and other variables

20
Q

What does blinding prevent?

A

Bias

21
Q

Who does bias conceal allocation from (3)?

A

Subjects
Researchers
Observers

22
Q

Is blinding always possible?

A

No, the intervention may be too obvious

23
Q

List and describe the two kinds of randomised controlled trials.

A

Parallel
-intervention and control groups run over the same period
-outcomes measured for each group and compared

Cross-over
-intervention and control groups are run over a defined period and then the groups swap (often after a wash-out period between periods)

24
Q

What might happen if the follow-up period isnt long enough?

A

You may not be able to show the effect of the intervention or miss a decrease in effectiveness over time

25
Q

Describe subject bias and when it occurs. Why does it happen? Is it conscious or subconscious?

A

A bias caused when the subject distorts the measurement of an outcome.
Occurs during outcome.
Usually happens as the trial subjects want to please the assessor and give responses they think the assessor wants to hear (i.e. that they feel no pain when they still feel it).
Can be conscious or subconscious.

26
Q

How can subject bias be avoided?

A

Blinding - will not stop it completely but will put all groups on an equal standing

27
Q

Describe observer bias. Which bias is it similar to?

A

Similar to subject bias but affects the observer, who may tinker with the recording of the measurements.

28
Q

How can observer bias be avoided? Is it always possible to mitigate/avoid?

A

Blinding the observer to the intervention received can reduce the bias. However it may not always be possible if the intervention leaves clues or signs that the observer may detect and deduce which group they were from.

29
Q

Describe misclassification bias. What two study types is it more common in?

A

A bias due to misclassification of the outcome due to inaccurate diagnosis or incorrect criteria assessment.
More common in case-controls and cohort studies.

30
Q

How can misclassification bias be avoided?

A

Use clear definitions and promote careful diagnoses (double checking, being thorough) by assessors.

31
Q

List 4 reasons why there may be poor compliance with an intervention.

A

Adverse effects
Impractical
Uncomfortable
Exhausting
Unpleasant

32
Q

In what two ways can compliance problems lead to bias?

A

By causing:
Drop outs
Poor outcome effect (patients not doing the intervention as described)

33
Q

Define attrition.

A

When a subject leabes the study for any reason.

34
Q

Is a single loss of a subject from a study (attrition) a problem? Explain.

A

If only a few subjects drop out, its not a problem. If more than 20 are lost, this might significantly affect outcomes and make it less valid.

35
Q

In what 5 ways can attrition (and its effects if it does occur) beavoided?

A

Encourage and follow up patients
Reduce the risk of adverse effects by designing good intervention criteria
Do not ignore drop-outs or cross-overs
Use best case/worse case method
Report the outcome as subjects are treated
-only report outcomes in those who finish and follow-up correctly

36
Q

Describe the best case/worst case method.

A

Account for all drop-outs and cross-overs by assuming that the missing patients all had a bad or all had a good outcome.