Evidence map›Paper›PMID 35338241›Full record

ReviewNPJ digital medicine2022

Digital approaches to enhancing community engagement in clinical trials.

Rayner K J Tan, Dan Wu, Suzanne Day, Yang Zhao, Heidi J Larson, Sean Sylvia, Weiming Tang, Joseph D Tucker

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. AI-based augmentation of oncology clinical trials.Nature reviews. Clinical oncology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
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  17. Tailored Approach to Designing a Digital Research Platform for Adults Aged 95 and Older: SuperAgers Family Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  18. 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

8 authors.

Rayner K J TanUniversity of North Carolina Project-China, Guangzhou, China. Rayner.tan@med.unc.edu.ORCID http://orcid.org/0000-0002-9188-3368
Dan WuClinical Research Department, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Suzanne DayDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Yang ZhaoSchool of Social Science, University of Queensland, Brisbane, QLD, Australia.
Heidi J LarsonDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Sean SylviaGillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Weiming TangDermatology Hospital of Southern Medical University, Guangzhou, China.
Joseph D TuckerUniversity of North Carolina Project-China, Guangzhou, China.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

Digital approaches are increasingly common in clinical trial recruitment, retention, analysis, and dissemination. Community engagement processes have contributed to the successful implementation of clinical trials and are crucial in enhancing equity in trials. However, few studies focus on how digital approaches can be implemented to enhance community engagement in clinical trials. This narrative review examines three key areas for digital approaches to deepen community engagement in clinical trials-the use of digital technology for trial processes to decentralize trials, digital crowdsourcing to develop trial components, and digital qualitative research methods. We highlight how digital approaches enhanced community engagement through a greater diversity of participants, and deepened community engagement through the decentralization of research processes. We discuss new possibilities that digital technologies offer for community engagement, and highlight potential strengths, weaknesses, and practical considerations. We argue that strengthening community engagement using a digital approach can enhance equity and improve health outcomes.

Identifiers

PMID35338241
PMCPMC8956701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.