Stepped Wedge Cluster Randomized Trials: What, How, And When?

December 2019 – In Grand Rounds 2, Dr. Taljaard describes the use of stepped wedge design in cluster randomized trials (SW-CRT), a novel research design embraced by clinical researchers.

Speaker

Monica Taljaard, PhDMonica Taljaard, PhD

Executive Committee, Design & Statistics Core

Senior Scientist, Ottawa Hospital Research Institute
Associate Professor, University of Ottawa

Learning Objectives

  • Describe the key characteristics and main types of stepped wedge cluster randomized trials (SW-CRTs) with examples.
  • Explain the main approach to analysis and sample size calculation for SW-CRTs.
  • Discuss what is an appropriate justification for using a SW-CRTs.

 

Related Articles and Resources

  1. Kasza J1, Taljaard M2,3, Forbes AB1 Information content of stepped-wedge designs when treatment effect heterogeneity and/or implementation periods are present https://www.ncbi.nlm.nih.gov/pubmed/31321806
  2. Teerenstra S, Taljaard M, Haenen A, Huis A, Atsma F, Rodwell L, Hulscher M. Sample size calculation for stepped-wedge cluster-randomized trials with more than two levels of clustering. Clinical Trials. 2019; 16(3):225-236. doi: 10.1177/1740774519829053.
  3. R package ‘swCRTdesign’  http://faculty.washington.edu/jphughes/pubs.html
  4. R-Shiny (Hemming & Kasza) https://clusterrcts.shinyapps.io/rshinyapp/