Evidence map›Paper›PMID 34296777›Full record

ArticleBritish journal of clinical pharmacology2022

Learning from remote decentralised clinical trial experiences: A qualitative analysis of interviews with trial personnel, patient representatives and other stakeholders.

Joanne Coyle, Amy Rogers, Rachel Copland, Giorgia De Paoli, Thomas M MacDonald, Isla S Mackenzie, of the Trials@Home Consortium

Abstract read
In one paragraph

Article 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 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
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  6. Trial
  7. Article
  8. Review
  9. Optimizing participation in digital health studies: understanding appointment attendance.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. The Ethics of Decentralized Clinical Trials and Informed Consent: Taking Technologies' Soft Impacts into Account.Health care analysis : HCA : journal of health philosophy and policy · 2025
    Article
  19. Article
  20. 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

7 authors.

Joanne CoyleMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK.ORCID 0000-0002-4630-0266
Amy RogersMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK.ORCID 0000-0001-5207-7032
Rachel CoplandMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK.
Giorgia De PaoliMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK.
Thomas M MacDonaldMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK.
Isla S MackenzieMEMO Research, Division of Molecular and Clinical Medicine, University of Dundee, Dundee, UK.ORCID 0000-0002-3680-7127
of the Trials@Home Consortiumtrialsathome.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of the study was to identify actionable learning points from stakeholders in remote decentralised clinical trials (RDCTs) to inform their future design and conduct.

methodsSemistructured interviews were carried out with a purposive sample of stakeholders, including senior managers, trial managers, technology experts, principal investigators, clinical investigators, research scientists, research nurses, vendors, patient representatives and project assistants. The interview data were coded using a thematic approach, identifying similarities, differences and clustering to generate descriptive themes. Further refinement of themes was guided by empirical phenomenology, grounding explanation in the meanings that interviewees gave to their experiences.

resultsForty-eight stakeholders were interviewed. Actionable learning points were generated from the thematic analysis. Patient involvement and participant engagement were seen as critical to the success of RDCTs where in-person contact is minimal or nonexistent. Involving patients in identifying the research question, creating recruitment materials, apps and websites, and providing ongoing feedback to trial participants were regarded as facilitating recruitment and engagement. Building strong relationships early with trial partners was thought to support RDCT conduct. Multiple modes of capturing information, including patient-reported outcomes (PROs) and routinely collected data, were felt to contribute to data completeness. However, RDCTs may transfer trial activity burden onto participants and remote-working research staff, therefore additional support may be needed.

conclusionRDCTs will continue to face challenges in implementing novel technologies. However, maximising patient and partner involvement, reducing participant and staff burden, and simplifying how participants and staff interact with the RDCT may facilitate their implementation.

Indexed as

Patient AdvocacyResearch DesignFeedbackHumansPatient Participationparticipant burdenparticipant involvementqualitative interviewsRDCTremote decentralised clinical trialsvirtual trials

Identifiers

PMID34296777
PMCPMC9290051

What OpenQuestion holds

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LicenceCC BY-NC
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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.