Krahasoni metodat

	Prova e Kontrolluar e Rastësishme Pragmatike	Provë e kontrolluar e faktorielit me short
Fusha	Dizajni eksperimental	Dizajni eksperimental
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1967	1926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization)
Krijuesi	Daniel Schwartz and Joseph Lellouch	R. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014)
Lloji	Experimental design — pragmatic trial	Experimental trial design
Burimi themelues	Schwartz, D., & Lellouch, J. (1967). Explanatory and pragmatic attitudes in therapeutical trials. Journal of Chronic Diseases, 20(8), 637–648.	Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B. (2014). Factorial experiments: Efficient tools for evaluation of intervention components. American Journal of Preventive Medicine, 47(4), 498–504.
Emërtime të tjera	pRCT, pragmatic trial, practical clinical trial, real-world RCT	Factorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization
Të lidhura	4	6
Përmbledhja	A pragmatic randomized controlled trial (pRCT) tests whether an intervention works under ordinary, real-world conditions — broad eligibility, flexible delivery, and routine care settings. Participants are still randomly assigned to treatment or control, preserving causal inference, but the study is designed to reflect the diversity and variability of actual practice rather than the ideal conditions of an explanatory trial. The defining framework is the PRECIS-2 tool, which maps any RCT along nine pragmatic-to-explanatory dimensions.	A factorial randomized controlled trial (factorial RCT) is an experimental design in which participants are randomly assigned to every possible combination of two or more independent factors (treatments or intervention components) simultaneously. This allows researchers to estimate the main effect of each factor and their interactions within a single, efficient trial, rather than running separate experiments for each factor.