Randomized Control Trials Flashcards
What advantage does a RCT has over an observational trial?
Because RCT’s use random assignment and are often quasi-experimental in nature, you can draw conclusions on causality. This is not allowed in observational research.
What are the disadvantages of RCT’s?
- You can only test very narrow research questions
- Safety and efficacy need to be balanced; possible harm to pp
- RCTs are costly and time-consuming
What reasons explain the lack of evidence on rehabilitation treatments (compared to medicine)?
- We often use experience-based treatments, which are complex to measure
- “Added ingredients” such as interactions in treatment, attention of the therapist, are difficult to take into account.
- Target outcomes are widely varying, which makes it difficult to quantify them.
- Difficult to isolate and test the active ingredients in treatments > makes it also difficult to determine to which control conditions the treatment needs to be compared.
Which two classes of control groups exist in NP?
- Active control groups
2. Usual care control groups
What are active treatment witheld groups and which forms are there?
Active control groups means that active treatment is withheld in the control group. This is not always ethical, but can be very helpful in matters where there is not much knowledge about the efficacy of a treatment (to see if there is an effect).
- No treatment: regression to the mean, time effects, effect of repeated testing
- Waitlist group: expectancy effects, regression to the mean
- Placebo-analogue conditions; when double-blind very good control on expectancy effects. Also good control for nonspecific treatment effects (professional time, attention, congitive stimulation).
What are drawback of the different active treatment withheld control groups?
Overall: ethical concerns. More specifically:
- No treatment: may not be acceptable for potential participants and can lead to dropouts/independent treatment seeking.
- Waitlist: can discourage participants
- Placebo: costly and cannot be applied in a double-blind fashion
What are the different forms of usual care control groups?
- Normal usual care: helps you to find out the “added” value of a new versus old treatment, thereby maximizing equipose.
- Devised usual care: less intensity/stimuli/frequency of the usual care treatment, to increase the power/need a smaller sample size to detect group differences.
What are the different forms of active treatment control groups?
- Dose control groups: examine the dose-response relationship
- Dismantling design: giving the same treatment to the groups, but in one group take out one or more “active ingredients” to find out their specific value in the treatment.
- Equivalence trials: when there are issues with the usual care treatment, you can compare the new treatment in both groups. This makes it very difficult to detect differences, very large sample sizes necessary.
What are the drawbacks of active control groups?
- Dose control: not always possible to try different doses, large sample size needed to detect differences
- Dismantling design: a priori knowledge on active ingredients necessary, large N
- Equivalence trials: internal validity is threatened, because the groups are essentially the same so what do you actually conclude when they get different results?
What are composite outcome measurements and what is its main drawback?
Composite outcomes are a number of different measures/events in one outcome measures. This leads to higher power, but is less clinically useful. If you find an effect, you still don’t know for which events this effect is true.
Why do we need to define entry criteria in our studies?
To maximize power and generalizability AND to determine the sample size (good estimates of ES of the prevalence of the primary outcome in the population.
What are mechanisms of change in RCT’s?
- Predictors
- Mediators: variables that show how and why treatment is effective; shows the pathways through which there is a causal relationship.
- Moderators: variables that strengthen or weaken relationships between the predictors and outcome measures.
What are important points to monitor during clinical trials?
- Harm
- Futility; stopping the trial when there is a very low chance of answering your main research question
- Stopping when clear benefit has been proved; you already have your answer.
Which concepts are used in the data that is considered? and which one is preferred?
- Intention-to-treat: include every participant that is assigned to the groups. Gives smaller but more realistic effects. In real life also not all people will adhere to protocol.
- Per protocol: only include participants that adhered to protocol > gives higher effects because you exclude participants that did not (entirely) follow the instructions, thereby causing bias/overestimation of effectiveness.
–> preferably include both in the analysis
Which control groups can you use best when you don’t know much about the efficacy of a treatment?
You can then best use a waitlist control group and after that an active control group, to first maximize group differences (thereby increasing power with only small samples). So, when you have done this and see if a treatment works at all:
- compare the treatment to usual care; is it better?
- why does it work/in which doses? Get more specific information in the active ingredients with a dismantling design.