Evidence map›Paper›PMID 38559578›Full record

ReviewDigital health

Digital technologies used in clinical trial recruitment and enrollment including application to trial diversity and inclusion: A systematic review.

Amy Kasahara, Jennifer Mitchell, Joshua Yang, Raphael E Cuomo, Tiana J McMann, Tim K Mackey

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Keeping Clinical Trials on an Inclusive Track.Journal of medical Internet research · 2026
    Article
  5. Article
  6. Review
  7. Observational
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Observational
  14. Recruitment and Retention Strategies in Clinical Trials for Hip Fractures: A Cross-Sectional Analysis.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Population health management of human phenotype ontology.Frontiers in artificial intelligence · 2025
    Article
  20. Review
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

6 authors.

Amy KasaharaRady School of Management, University of California San Diego, La Jolla, CA, USA.
Jennifer MitchellRady School of Management, University of California San Diego, La Jolla, CA, USA.
Joshua YangDepartment of Public Health, California State University Fullerton, Fullerton, CA, USA.
Raphael E CuomoGlobal Health Policy and Data Institute, San Diego, CA, USA.
Tiana J McMannGlobal Health Policy and Data Institute, San Diego, CA, USA.
Tim K MackeyGlobal Health Policy and Data Institute, San Diego, CA, USA.ORCID https://orcid.org/0000-0002-2191-7833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many clinical trials fail because of poor recruitment and enrollment which can directly impact the success of biomedical and clinical research outcomes. Options to leverage digital technology for improving clinical trial management are expansive, with potential benefits for improving access to clinical trials, encouraging trial diversity and inclusion, and potential cost-savings through enhanced efficiency. Objectives: This systematic review has two key aims: (1) identify and describe the digital technologies applied in clinical trial recruitment and enrollment and (2) evaluate evidence of these technologies addressing the recruitment and enrollment of racial and ethnic minority groups. Methods: We conducted a cross-disciplinary review of articles from PubMed, IEEE Xplore, and ACM Digital Library, published in English between January 2012 and July 2022, using MeSH terms and keywords for digital health, clinical trials, and recruitment and enrollment. Articles unrelated to technology in the recruitment/enrollment process or those discussing recruitment/enrollment without technology aspects were excluded. Results: The review returned 614 results, with 21 articles (four reviews and 17 original research articles) deemed suitable for inclusion after screening and full-text review. To address the first objective, various digital technologies were identified and characterized, which included articles with more than one technology subcategory including (a) multimedia presentations (19%, Conclusion: Results from this review illustrate that several types of technology are currently being explored and utilized in clinical trial recruitment and enrollment stages. However, evidence supporting the use of digital technologies is varied and requires further research and evaluation to identify the most valuable opportunities for encouraging diversity in clinical trial recruitment and enrollment practices.

Indexed as

clinical trialsCOVID-19digital health technology

Identifiers

PMID38559578
PMCPMC10981266

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.