Evidence map›Paper›PMID 33203361›Full record

ArticleBMC medical research methodology2020

The hunt for efficient, incomplete designs for stepped wedge trials with continuous recruitment and continuous outcome measures.

Richard Hooper, Jessica Kasza, Andrew Forbes

Abstract read
In one paragraph

Article in BMC medical research methodology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  5. Designing stepped wedge trials to evaluate physical activity interventions in schools: methodological considerations.The international journal of behavioral nutrition and physical activity · 2025
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  6. Article
  7. Review
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  12. Generalizing the information content for stepped wedge designs: A marginal modeling approach.Scandinavian journal of statistics, theory and applications · 2023
    Article
  13. Article
  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Richard HooperQueen Mary University of London, London, UK. r.l.hooper@qmul.ac.uk.ORCID 0000-0002-1063-0917
Jessica KaszaMonash University, Melbourne, Australia.
Andrew ForbesMonash University, Melbourne, Australia.

Funding

National Health and Medical Research Council (Australia) 1108283
6 · The paper itself

Abstract

backgroundWe consider the design of stepped wedge trials with continuous recruitment and continuous outcome measures. Suppose we recruit from a fixed number of clusters where eligible participants present continuously, and suppose we have fine control over when each cluster crosses to the intervention. Suppose also that we want to minimise the number of participants, leading us to consider "incomplete" designs (i.e. without full recruitment). How can we schedule recruitment and cross-over at different clusters to recruit efficiently while achieving good precision?

methodsThe large number of possible designs can make exhaustive searches impractical. Instead we consider an algorithm using iterative improvements to hunt for an efficient design. At each iteration (starting from a complete design) a single participant - the one with the smallest impact on precision - is removed, and small changes preserving total sample size are made until no further improvement in precision can be found.

resultsStriking patterns emerge. Solutions typically focus recruitment and cross-over on the leading diagonal of the cluster-by-time diagram, but in some scenarios clusters form distinct phases resembling before-and-after designs.

conclusionsThere is much to be learned about optimal design for incomplete stepped wedge trials. Algorithmic searches could offer a practical approach to trial design in complex settings generally.

Indexed as

Outcome Assessment, Health CareResearch DesignCross-Over StudiesData Interpretation, StatisticalHumansSample SizeAlgorithmsCluster randomised trialsContinuous recruitmentEfficient designStepped wedge trials

Identifiers

PMID33203361
PMCPMC7672921

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.