Evidence map›Paper›PMID 26176884›Full record

ReviewContemporary clinical trials2015

Using e-technologies in clinical trials.

Carmen Rosa, Aimee N C Campbell, Gloria M Miele, Meg Brunner, Erin L Winstanley

Abstract readReview
In one paragraph

Review in Contemporary clinical trials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 3 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

81 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Patient adherence and response time in electronic patient-reported outcomes: insights from three longitudinal clinical trials.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  16. 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
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21 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.
Aimee N C CampbellNew York State Psychiatric Institute, Department of Psychiatry, Columbia University Medical Center, New York, NY, USA; Mount Sinai St. Luke's Hospital Department of Psychiatry and Behavioral Health, New York, NY, USA. Electronic address: anc2002@cumc.columbia.edu.
Gloria M MieleColumbia University College of Physicians and Surgeons, Department of Psychiatry, New York, NY, USA. Electronic address: gmm23@columbia.edu.
Meg BrunnerAlcohol and Drug Abuse Institute, University of Washington, Seattle, WA, USA. Electronic address: meganw@uw.edu.
Erin L WinstanleyThe James L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, OH, USA. Electronic address: erin.winstanley@uc.edu.

Funding

CU PARTNERS: NY/LONG ISLAND REGIONAL NODEU10DA013035 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI NUNES, EDWARD V., ROTROSEN, JOHN P · 2001 to 2015
$47.6M
Clinical Trials Network, Ohio Valley Node U10DA013732U10DA013732 · NIDA · UNIVERSITY OF CINCINNATI · PI WINHUSEN, T JOHN · 2000 to 2015
$45.0M
CLINICAL TRIALS NETWORK: PACIFIC NORTHWEST NODEU10DA013714 · NIDA · UNIVERSITY OF WASHINGTON · PI DONOVAN, DENNIS MICHAEL, ROLL, JOHN M. · 2001 to 2015
$25.5M
Intramural NIH HHS Z99 DA999999NIDA NIH HHS U10 DA013035NIDA NIH HHS U10 DA013714NIDA NIH HHS U10 DA013732
6 · The paper itself

Abstract

Clinical trials have been slow to incorporate e-technology (digital and electronic technology that utilizes mobile devices or the Internet) into the design and execution of studies. In the meantime, individuals and corporations are relying more on electronic platforms and most have incorporated such technology into their daily lives. This paper provides a general overview of the use of e-technologies in clinical trials research, specifically within the last decade, marked by rapid growth of mobile and Internet-based tools. Benefits of and challenges to the use of e-technologies in data collection, recruitment and retention, delivery of interventions, and dissemination are provided, as well as a description of the current status of regulatory oversight of e-technologies in clinical trials research. As an example of ways in which e-technologies can be used for intervention delivery, a summary of e-technologies for treatment of substance use disorders is presented. Using e-technologies to design and implement clinical trials has the potential to reach a wide audience, making trials more efficient while also reducing costs; however, researchers should be cautious when adopting these tools given the many challenges in using new technologies, as well as threats to participant privacy/confidentiality. Challenges of using e-technologies can be overcome with careful planning, useful partnerships, and forethought. The role of web- and smartphone-based applications is expanding, and the increasing use of those platforms by scientists and the public alike make them tools that cannot be ignored.

Indexed as

InternetResearch DesignAge FactorsClinical Trials as TopicConfidentialityData AccuracyData CollectionEfficiency, OrganizationalElectronic Health RecordsHealth BehaviorHumansInformation DisseminationMobile ApplicationsPatient SelectionSmartphoneSocial NetworkingAppsClinical trialsE-technologyInternetSmartphonesSocial media

Identifiers

PMID26176884
PMCPMC4648297

What OpenQuestion holds

Textmetadata
LicenceTDM
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.