Which characteristic differentiates the randomized controlled trial from other types of studies

B) The I in PICOT refers to intervention of interest.
C) PICOT helps to ask an intervention-focused question
E) PICOT helps to identify knowledge gaps within a given clinical situation.

A well-focused question makes it easy to gather evidence. A PICOT (Patient, Intervention, Comparison, Outcome, Time) question is very useful for evidence-based practice. The I in PICOT refers to intervention of interest. A well-framed PICOT question helps to keep the research question focused on intervention. A well-formed PICOT questions also helps to question the existing routines and identify knowledge gaps within a given clinical situation. The sequence of P, I, C, O, and T is not mandatory in developing the PICOT question. The components I, C, and T may not be suitable to be used in every PICOT question, so they can be skipped accordingly.

Test-Taking Tip: Recall what each letter of PICOT represents before choosing your answers.

What are the characteristics of a Randomised control trial?

An RCT has several characteristic features: RCTs are controlled, randomized, and usually blinded, and the significance of the results is determined statistically according to a predetermined algorithm. An RCT typically involves comparison of two or more interventions (e.g., Drug A vs.

What is the difference between randomized controlled trial and randomized clinical trial?

A clinical trial is a randomized controlled trial only when participants are randomly allocated to the group receiving the treatment and a control group. What participants are allocated among groups receiving different treatments the clinical trial is simply called a randomized trial.

What are the different types of randomized controlled trials?

Depending on the extent of blinding, RCTs can be classified as open, single-blind, double-blind, triple-blind, and quadruple-blind.

What is one advantage of a randomized control trial?

Randomized controlled trials (RCT) are prospective studies that measure the effectiveness of a new intervention or treatment. Although no study is likely on its own to prove causality, randomization reduces bias and provides a rigorous tool to examine cause-effect relationships between an intervention and outcome.