Evidence map›Paper›PMID 38394190›Full record

ArticlePloS one2024

Researchers' experiences of the design and conduct challenges associated with parallel-group cluster-randomised trials and views on a novel open-cohort design.

Claire Surr, Laura Marsden, Alys Griffiths, Sharon Cox, Jane Fossey, Adam Martin, A Toby Prevost, Catherine Walshe, Rebecca Walwyn

Abstract readClinical Trial Protocol
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Claire SurrCentre for Dementia Research, Leeds Beckett University, Leeds, United Kingdom.ORCID 0000-0002-4312-6661
Laura MarsdenClinical Trials Research Unit, University of Leeds, Leeds, United Kingdom.ORCID 0000-0003-3186-2079
Alys GriffithsInstitute of Population Health, University of Liverpool, Liverpool, United Kingdom.
Sharon CoxDepartment of Behavioural Science and Health, UCL, London, United Kingdom.
Jane FosseyFaculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom.
Adam MartinAcademic Unit of Health Economics, University of Leeds, Leeds, United Kingdom.
A Toby PrevostNightingale-Saunders Clinical Trials & Epidemiology Unit, Kings College London, London, United Kingdom.ORCID 0000-0003-1723-0796
Catherine WalsheInternational Observatory on End of Life Care, Lancaster University, Lancaster, United Kingdom.ORCID 0000-0002-4531-8608
Rebecca WalwynClinical Trials Research Unit, University of Leeds, Leeds, United Kingdom.ORCID 0000-0001-9120-1438

Funding

Medical Research Council MR/P026761/1
6 · The paper itself

Abstract

backgroundTwo accepted designs exist for parallel-group cluster-randomised trials (CRTs). Closed-cohort designs follow the same individuals over time with a single recruitment period before randomisation, but face challenges in settings with high attrition. (Repeated) cross-sectional designs recruit at one or more timepoints before and/or after randomisation, collecting data from different individuals present in the cluster at these timepoints, but are unsuitable for assessment of individual change over time. An 'open-cohort' design allows individual follow-up with recruitment before and after cluster-randomisation, but little literature exists on acceptability to inform their use in CRTs.

aimTo document the views and experiences of expert trialists to identify: a) Design and conduct challenges with established parallel-group CRT designs,b) Perceptions of potential benefits and barriers to implementation of open-cohort CRTs,c) Methods for minimising, and investigating the impact of, bias in open-cohort CRTs.

methodsQualitative consultation via two expert workshops including triallists (n = 24) who had worked on CRTs over a range of settings. Workshop transcripts were analysed using Descriptive Thematic Analysis utilising inductive and deductive coding.

resultsTwo central organising concepts were developed. Design and conduct challenges with established CRT designs confirmed that current CRT designs are unable to deal with many of the complex research and intervention circumstances found in some trial settings (e.g. care homes). Perceptions of potential benefits and barriers of open cohort designs included themes on: approaches to recruitment; data collection; analysis; minimising/investigating the impact of bias; and how open-cohort designs might address or present CRT design challenges. Open-cohort designs were felt to provide a solution for some of the challenges current CRT designs present in some settings.

conclusionsOpen-cohort CRT designs hold promise for addressing the challenges associated with standard CRT designs. Research is needed to provide clarity around definition and guidance on application.

Indexed as

Research DesignResearch PersonnelBiasCompulsive BehaviorCross-Sectional StudiesHumansRandomized Controlled Trials as Topic

Identifiers

PMID38394190
PMCPMC10889884

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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.