Evidence map›Paper›PMID 28412466›Full record

ArticleJournal of clinical epidemiology2017

Proposed variations of the stepped-wedge design can be used to accommodate multiple interventions.

Vivian H Lyons, Lingyu Li, James P Hughes, Ali Rowhani-Rahbar

Abstract read
In one paragraph

Article in Journal of clinical epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

4 authors.

Vivian H LyonsDepartment of Epidemiology, School of Public Health, University of Washington, Box 357236, Seattle, WA 98195-7236, USA; Harborview Injury Prevention & Research Center, 401 Broadway Avenue, 4th Floor, Seattle, WA 98122, USA. Electronic address: vlyons@uw.edu.
Lingyu LiDepartment of Biostatistics, School of Public Health, University of Washington, Box 357232, Seattle, WA 98195-7232, USA.
James P HughesDepartment of Biostatistics, School of Public Health, University of Washington, Box 357232, Seattle, WA 98195-7232, USA.
Ali Rowhani-RahbarDepartment of Epidemiology, School of Public Health, University of Washington, Box 357236, Seattle, WA 98195-7236, USA; Harborview Injury Prevention & Research Center, 401 Broadway Avenue, 4th Floor, Seattle, WA 98122, USA.

Funding

STATISTICAL ISSUES IN AIDS RESEARCHR37AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI JAMES P HUGHES · 1999 to 2026
$9.8M
STATISTICAL ISSUES IN AIDS RESEARCHR01AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI HUGHES, JAMES P · 1989 to 2018
$5.3M
NIAID NIH HHS R01 AI029168NIAID NIH HHS R37 AI029168
6 · The paper itself

Abstract

objectivesStepped-wedge design (SWD) cluster-randomized trials have traditionally been used for evaluating a single intervention. We aimed to explore design variants suitable for evaluating multiple interventions in an SWD trial. STUDY DESIGN AND

settingWe identified four specific variants of the traditional SWD that would allow two interventions to be conducted within a single cluster-randomized trial: concurrent, replacement, supplementation, and factorial SWDs. These variants were chosen to flexibly accommodate study characteristics that limit a one-size-fits-all approach for multiple interventions.

resultsIn the concurrent SWD, each cluster receives only one intervention, unlike the other variants. The replacement SWD supports two interventions that will not or cannot be used at the same time. The supplementation SWD is appropriate when the second intervention requires the presence of the first intervention, and the factorial SWD supports the evaluation of intervention interactions. The precision for estimating intervention effects varies across the four variants.

conclusionSelection of the appropriate design variant should be driven by the research question while considering the trade-off between the number of steps, number of clusters, restrictions for concurrent implementation of the interventions, lingering effects of each intervention, and precision of the intervention effect estimates.

Indexed as

Cluster AnalysisHumansRandomized Controlled Trials as TopicResearch DesignCluster-randomized trialEfficiencyMultiple interventionsPragmatic trialsStepped-wedge trial designStudy design

Identifiers

PMID28412466
PMCPMC5835387

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Registered trials

None linked

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.