Quantitative - design, sampling and randomisation issues in randomised controlled trials Flashcards Preview

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Flashcards in Quantitative - design, sampling and randomisation issues in randomised controlled trials Deck (28)
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1

What is the basic layout of a RCT?

study pps --> intervention group and control group --> outcome present in either group? (yes or no)

2

what is the design of a RCT?

-all trials have an intervention
-PPs randomised to either recieve the intervention or not (control group)
-sometimes there's an attention arm (similar to intervention but without 'active' ingredient)
-outcomes of interest = measured

3

What are hypotheses?

-trials frquently start with them
-predictions about what they expect the intervention to achieve

4

What is a null hypothesis (Ho)?

-there will be no difference between the control and intervention arms
-assumed true at the start and has to be disproved

5

What are variables?

factors being investigated

6

What is a dependant variable?

-often the outcome of interest e.g. healing time

7

What is an independant variable?

-the intervention factor e.g. the dressing being used

8

How else can the IV and DV be described?

like cause (effect of dressing - IV) and effect (healing time - DV)

9

How is the population chosen in trial recruitment?

-target group researchers are interested in
-must be cleary defined (so know wwho results are applicable to)
-a sample will then be drawn (representative of the population)

10

What critera do trials have when recruiting?

inclusion and exclusion

11

What types of sampling are there?

probability and non-probability

12

What is probability sampling?

-gives an unbiased sample where everyone who meets the criteria has a chance of selection
-choose the sample of those entering the trial and is different to them being randomly allocated to groups once in the trial

13

What is non-probability sampling?

-non-random sampling and the chance of being selected cant be estimated

14

What are the four types of probability sampling?

simple random, stratified random, cluster and systematic random

15

What is simple random sampling?

-random selection of everyone in the population list
-rarely done because difficult to get population list

16

What is stratified random sampling?

-put in groups according to characteristics (lile gender) then randomly selected

17

What is cluster sampling?

-random selection of larger units (like hospitals) which PPs are then randomly selected from

18

What is systematic sampling?

-random selection at predetermined intervals

19

What are the factors affecting sample size?

-population factors - similarity of population to each other, expected rate of 'event', expected attrition (loss to study)
-design - number of variables, sampling
-measurement - sensitivity of measures
-practical factors - cost and convenience

20

What is a power calcuation and when is it performed?

-used to calculate the minimum effect sample size that is likely to be detected in a study using a given sample size.
-also used to calculate the minimum sample size required so that one can be reasonably likely to detect an effect of a given size

21

How are patients allocated to trial groups in RCTs?

-usually in a sequence over a period of time

22

How are patients allocated in to arms of the trial?

-methods of randomising them into the arms of the trial (intervention or control) are similar to the random selection of the sample

23

What are the three types of randomisation?

simple, block, stratified

24

What is simple randomisation?

-'tossing a coin' but usually done with random number tables

25

What is block randomisation?

-to keep numbers in each group close

26

What is stratified randomisation?

-to balance chosen characteristics across the arms of the trial

27

What does it mean when a trial is single blind?

- one person (usually PP) knows which arm of the trial thy are in (e.g. if its obvious what treatment they recieve)
-perosn assessing the outcome doesnt know

28

What does it mean when a trial is double blind?

neither PP or person assessing outcome knows the arm (e.g. placebo)