Evidence map›Paper›PMID 33212293›Full record

ArticleContemporary clinical trials2021

Using digital technologies in clinical trials: Current and future applications.

Carmen Rosa, Lisa A Marsch, Erin L Winstanley, Meg Brunner, Aimee N C Campbell

Abstract read
In one paragraph

Article in Contemporary clinical trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 5 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

67 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Guideline
  5. Pooled it
  6. Trial
  7. Trial
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  10. Observational
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  12. Article
  13. Child and adolescent psychiatry: challenges, solutions, opportunities, and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
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  15. Review
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7 more citing papers are in PubMed but not listed here.

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

5 authors.

Carmen RosaNational Institutes of Health, National Institute on Drug Abuse, Bethesda, MD, USA. Electronic address: crosa@nida.nih.gov.
Lisa A MarschCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, USA. Electronic address: lisa.a.marsch@dartmouth.edu.
Erin L WinstanleyWest Virginia University, School of Medicine and Rockefeller Neuroscience Institute, Department of Behavioral Medicine and Psychiatry, Morgantown, West Virginia, USA; West Virginia University, School of Medicine, Department of Neuroscience Morgantown, West Virginia, USA. Electronic address: erin.winstanley@hsc.wvu.edu.
Meg BrunnerAlcohol and Drug Abuse Institute, University of Washington, Seattle, WA, USA. Electronic address: meganw@uw.edu.
Aimee N C CampbellNew York State Psychiatric Institute, Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY, USA. Electronic address: anc2002@cumc.columbia.edu.

Funding

Project-003UG1DA013035 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Aimee N Campbell, Jennifer McNeely · 2015 to 2026
$130.3M
Project-002UG1DA040309 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2015 to 2026
$37.9M
Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
NIDA NIH HHS P30 DA029926NIDA NIH HHS UG1 DA013035NIDA NIH HHS UG1 DA040309
6 · The paper itself

Abstract

In 2015, we provided an overview of the use of digital technologies in clinical trials, both as a methodological tool and as a mechanism to deliver interventions. At that time, there was limited guidance and limited use of digital technologies in clinical research. However, since then smartphones have become ubiquitous and digital health technologies have exploded. This paper provides an update to our earlier publication and an overview of how technology has been used in the past five years in clinical trials, providing examples with varying levels of technological integration and across different health conditions. Digital technology integration ranges from the incorporation of artificial intelligence in diagnostic devices to the use of real-world data (e.g., electronic health records) for study recruitment. Clinical trials can now be conducted entirely virtually, eliminating the need for in-person interaction. Much of the published research demonstrates how digital approaches can improve the design and implementation of clinical trials. While challenges remain, progress over the last five years is encouraging, and barriers can be overcome with careful planning.

Indexed as

Artificial IntelligenceDigital TechnologyElectronic Health RecordsHumansSmartphoneArtificial intelligenceClinical trialsDigital technologyElectronic health recordsSmartphones

Identifiers

PMID33212293
PMCPMC8734581

What OpenQuestion holds

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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.