Evidence map›Paper›PMID 38028356›Full record

ReviewJournal of clinical and translational science2023

Methods and perceptions of success for patient recruitment in decentralized clinical studies.

Brian L Miyata, Barbara Tafuto, Nadina Jose

Abstract readReview
In one paragraph

Review in Journal of clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Adoption of Decentralization: Are Our Perceptions Holding Us Back?Therapeutic innovation & regulatory science · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Progress toward realizing the promise of decentralized clinical trials.Journal of clinical and translational science · 2024
    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

3 authors.

Brian L MiyataNew Jersey Alliance for Clinical and Translational Science, Newark, NJ, USA.ORCID https://orcid.org/0009-0003-2933-8558
Barbara TafutoNew Jersey Alliance for Clinical and Translational Science, Newark, NJ, USA.ORCID https://orcid.org/0000-0002-7489-3281
Nadina JoseNew Jersey Alliance for Clinical and Translational Science, Newark, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient recruitment, diversity, and retention continue to impede successful and representative clinical studies. This systematic review aims to assess the impact of decentralized methods on recruitment, retention, and diversity in recent clinical studies. A systematic search of literature reporting on recruitment in decentralized clinical studies was performed. Studies were reviewed for those reporting the primary outcome of recruitment in decentralized clinical trials, observational studies, or those covering the topic of clinical trials. Secondary outcomes included retention, participant diversity, and participant satisfaction. This systematic search returned 13 studies highlighting the role of decentralized methods impacting participant recruitment, retention, and diversity in clinical studies. Eleven reported improved recruitment using decentralized methods. Seven of these reported improvements directly compared to traditional methods. Seven studies reported positive retention outcomes, with four directly comparing decentralized methods with traditional methods. Six studies were reported to have trended toward increased diversity in the demographics of the sample population, including race or geographic location. Related reviews have stated a lack of published comparable data to determine if decentralized clinical methods improved recruitment and retention. Results suggest this review addresses such a gap, providing data on how decentralized methods such as virtual visits can positively impact recruitment and retention.

Indexed as

Decentralized clinical trialdiversityrecruitmentretentiontelemedicine

Identifiers

PMID38028356
PMCPMC10643920

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.