OBJECTIVE: To describe the sample size calculation, analysis and reporting of split-plot randomised controlled trials (RCT) in healthcare (trials that use two units of randomisation: one at a cluster-level and one at a level lower than the cluster).
STUDY DESIGN AND SETTING: We carried out a comprehensive search in the EMBASE database from 1946 to 2016. Healthcare trials with a split-plot design in human subjects were included. Three authors screened and assessed the studies and data were extracted on methodology and reporting standards based upon CONSORT.
RESULTS: 18 split-plot studies were included, with authors using nine different designations to describe them. Units of randomisation were unclear in nine abstracts. Explicit rationale for choosing the design was not givenTen studies presented a sample size calculation accounting for clustering; the analyses were coherent with that. Flow of participant diagrams were presented but incomplete in 14 articles.
CONCLUSION: Split-plot designs can be useful complex designs, but challenging to report. Researchers need to clearly describe the rationale, sample size calculation and participant flow. We provide a suggested CONSORT style participant flow diagram to aid reporting. There is need for more research regarding sample size calculation for split-plots.
|Number of pages||6|
|Journal||Journal of Clinical Epidemiology|
|Early online date||4 Nov 2017|
|Publication status||Published - Apr 2018|
- Systematic review
- Cluster randomised
- Randomised controlled trial