Evidence map›Paper›PMID 34961991›Full record

SynthesisBritish journal of clinical pharmacology2022

A systematic review of methods used to conduct decentralised clinical trials.

Amy Rogers, Giorgia De Paoli, Selvarani Subbarayan, Rachel Copland, Kate Harwood, Joanne Coyle, Lyn Mitchell, Thomas M MacDonald, Isla S Mackenzie, Trials@Home Consortium

Abstract readSystematic Review
In one paragraph

Synthesis in British journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
–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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  2. Use of pragmatic randomized trials in multiple sclerosis: A systematic overview.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024
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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

10 authors.

Amy RogersMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, United Kingdom.ORCID 0000-0001-5207-7032
Giorgia De PaoliMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, United Kingdom.ORCID 0000-0002-9715-8626
Selvarani SubbarayanMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, United Kingdom.
Rachel CoplandMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, United Kingdom.ORCID 0000-0002-9618-1584
Kate HarwoodMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, United Kingdom.
Joanne CoyleMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, United Kingdom.ORCID 0000-0002-4630-0266
Lyn MitchellMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, United Kingdom.
Thomas M MacDonaldMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, United Kingdom.ORCID 0000-0001-5189-6669
Isla S MackenzieMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, United Kingdom.ORCID 0000-0002-3680-7127
Trials@Home Consortiumhttps://trialsathome.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo evaluate, using quantitative and qualitative approaches, published data on the design and conduct of decentralised clinical trials (DCTs).

methodsWe searched MEDLINE, EMBASE, CENTRAL, PsycINFO, ProQuest Dissertations and Theses, ClinicalTrials.gov, OpenGrey and Google Scholar for publications reporting, discussing, or evaluating decentralised clinical research methods. Reports of randomised clinical trials using decentralised methods were included in a focused quantitative analysis with a primary outcome of number of randomised participants. All publications discussing or evaluating DCTs were included in a wider qualitative analysis to identify advantages, disadvantages, facilitators, barriers and stakeholder opinions of decentralised clinical trials. Quantitative data were summarised using descriptive statistics, and qualitative data analysed using a thematic approach.

resultsInitial searches identified 19 704 articles. After removal of duplicates, 18 553 were screened, resulting in 237 eligible for full-text assessment. Forty-five trials were included in the quantitative analysis; 117 documents were included in the qualitative analysis. Trials were widely heterogeneous in design and reporting, precluding meta-analysis of the effect of DCT methods on the primary recruitment outcome. Qualitative analysis formulated 4 broad themes: value, burden, safety and equity. Participant and stakeholder experiences of DCTs were incompletely represented.

conclusionDCTs are developing rapidly. However, there is insufficient evidence to confirm which methods are most effective in trial recruitment, retention, or overall cost. The identified advantages, disadvantages, facilitators and barriers should inform the development of DCT methods. We recommend further research on how DCTs are experienced and perceived by participants and stakeholders to maximise potential benefits.

Indexed as

Clinical Trials as TopicDelivery of Health CareHumansQualitative ResearchResearch Designclinical trialsdecentralised clinical trialsrecruitmentretentionsystematic review

Identifiers

PMID34961991
PMCPMC9306873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.