
Study designs: Part 5 – interventional studies (II)
Author(s) -
Rakesh Aggarwal,
Priya Ranganathan
Publication year - 2019
Publication title -
perspectives in clinical research
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.649
H-Index - 8
eISSN - 2229-5488
pISSN - 2229-3485
DOI - 10.4103/picr.picr_138_19
Subject(s) - blinding , psychological intervention , intervention (counseling) , dropout (neural networks) , clinical trial , clinical study design , medicine , research design , medical physics , psychology , computer science , nursing , pathology , statistics , machine learning , mathematics
In the fifth piece of this series on research study designs, we continue the discussion on interventional studies (clinical trials), in which the investigator decides whether or not a particular participant receives the exposure (or intervention). In this article, we take a closer look at several features which are important to ensure that the findings of such a study represent the real effect of an intervention, such as allocation concealment, blinding, compliance to intervention, the use of co-interventions and participant dropout rate.