Comparer des méthodes

	Essai contrôlé randomisé en grappes par paliers	Analyse de séries chronologiques interrompues (ITS)
Domaine	Inférence causale	Inférence causale
Famille	Regression model	Regression model
Année d'origine	2007	2002
Auteur d'origine	Hussey and Hughes	Wagner, Soumerai, Zhang & Ross-Degnan (segmented regression); Bernal, Cummins & Gasparrini (tutorial)
Type	Phased implementation trial design	Quasi-experimental segmented regression
Source fondatrice	Hemming, K., Haines, T. P., Chilton, P. J., Girling, A. J., & Lilford, R. J. (2015). The stepped wedge cluster randomised trial: rationale, design, analysis, and reporting. British Medical Journal, 350, h391.	Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355.
Alias	SWCRT, SW-CRT, Stepped Wedge Design	ITS analysis, segmented regression of time series, Kesintili Zaman Serisi (ITS) Analizi
Apparentées	3	5
Résumé	A stepped wedge cluster randomized trial is an experimental design where clusters (e.g., schools, hospitals, communities) are randomized to receive an intervention in a phased, staggered manner over time. First formally described by Hussey and Hughes in 2007, this design combines the benefits of cluster randomization with a time-stepped implementation strategy. It is particularly useful for evaluating the effectiveness of interventions in real-world healthcare and public health settings.	Interrupted Time Series analysis is a quasi-experimental design that estimates the effect of a single, well-dated intervention by comparing the trajectory of an outcome before and after it occurs. Formalised as segmented regression by Wagner and colleagues (2002) and popularised as a public-health evaluation tutorial by Bernal, Cummins and Gasparrini (2017), it separates the intervention's impact into a change in level and a change in slope.