There has been a growing interest in the public health realm concerning the study of randomized groups. In spite of this, concept designs implemented for such studies are largely sub-par. The paper thus aims at improving randomized trials where a large number of participants are concerned, as well as shed light on existing methods such as stratification and factorial designs, among other underrated concepts. Contemporary and newly innovated designs are also discussed, such as crossover cluster-based randomized trials and fractional factorial concepts. There is a need of the revaluation and used of such designs in cluster randomized trials, as it is speculated they could lead to improved and cost-effective results. Provided herein for the benefit of the reader, are examples from a collection of recent literature. Materials to be used in power planning and sample sizing are also offered.