Evidence map›Paper›PMID 25866383›Full record

Trial reportContemporary clinical trials2015

Clinical trial management of participant recruitment, enrollment, engagement, and retention in the SMART study using a Marketing and Information Technology (MARKIT) model.

Anjali Gupta, Karen J Calfas, Simon J Marshall, Thomas N Robinson, Cheryl L Rock, Jeannie S Huang, Melanie Epstein-Corbin, Christina Servetas, Michael C Donohue, Gregory J Norman and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report 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 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  9. Factors associated with non-completion of follow-up: 33-month latent tuberculous infection treatment trial.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2017
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  19. Narrative review of telemedicine applications in decentralized research.Journal of clinical and translational science · 2024
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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

16 authors.

Anjali GuptaCenter for Wireless and Population Health Systems, Calit2, University of California, San Diego, La Jolla, CA 92093, United States. Electronic address: agupta@sanfordburnham.org.
Karen J CalfasJoint Doctoral Program in Clinical Psychology at SDSU/UCSD and Student Health and Well-being UC San Diego Health System, University of California, San Diego, La Jolla, CA 92093, United States.
Simon J MarshallCenter for Wireless and Population Health Systems, Calit2, University of California, San Diego, La Jolla, CA 92093, United States; Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, United States.
Thomas N RobinsonStanford Solutions Science Lab, Division of General Pediatrics, Department of Pediatrics and Stanford Prevention Research Center, Department of Medicine, Stanford, CA 94305, United States.
Cheryl L RockDepartment of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, United States.
Jeannie S HuangCenter for Wireless and Population Health Systems, Calit2, University of California, San Diego, La Jolla, CA 92093, United States; Rady Children's Hospital, San Diego, CA 92123, United States; Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, United States.
Melanie Epstein-CorbinCenter for Wireless and Population Health Systems, Calit2, University of California, San Diego, La Jolla, CA 92093, United States.
Christina ServetasCenter for Wireless and Population Health Systems, Calit2, University of California, San Diego, La Jolla, CA 92093, United States.
Michael C DonohueDepartment of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, United States.
Gregory J NormanDepartment of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, United States.
Fredric RaabCenter for Wireless and Population Health Systems, Calit2, University of California, San Diego, La Jolla, CA 92093, United States.
Gina MerchantCenter for Wireless and Population Health Systems, Calit2, University of California, San Diego, La Jolla, CA 92093, United States.
James H FowlerCenter for Wireless and Population Health Systems, Calit2, University of California, San Diego, La Jolla, CA 92093, United States; Medical Genetics Division and Political Science Department, University of California, San Diego, La Jolla, CA 92093, United States.
William G GriswoldCenter for Wireless and Population Health Systems, Calit2, University of California, San Diego, La Jolla, CA 92093, United States; Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, United States.
B J FoggBehavior Design Lab, Stanford University, Stanford, CA 94305, United States.
Kevin PatrickCenter for Wireless and Population Health Systems, Calit2, University of California, San Diego, La Jolla, CA 92093, United States; Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, United States.

Funding

SMART: A Social and Mobile Weight Control Program for Young AdultsU01HL096715 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PATRICK, KEVIN · 2009 to 2013
$4.9M
NHLBI NIH HHS U01 HL096715
6 · The paper itself

Abstract

Advances in information technology and near ubiquity of the Internet have spawned novel modes of communication and unprecedented insights into human behavior via the digital footprint. Health behavior randomized controlled trials (RCTs), especially technology-based, can leverage these advances to improve the overall clinical trials management process and benefit from improvements at every stage, from recruitment and enrollment to engagement and retention. In this paper, we report the results for recruitment and retention of participants in the SMART study and introduce a new model for clinical trials management that is a result of interdisciplinary team science. The MARKIT model brings together best practices from information technology, marketing, and clinical research into a single framework to maximize efforts for recruitment, enrollment, engagement, and retention of participants into a RCT. These practices may have contributed to the study's on-time recruitment that was within budget, 86% retention at 24 months, and a minimum of 57% engagement with the intervention over the 2-year RCT. Use of technology in combination with marketing practices may enable investigators to reach a larger and more diverse community of participants to take part in technology-based clinical trials, help maximize limited resources, and lead to more cost-effective and efficient clinical trial management of study participants as modes of communication evolve among the target population of participants.

Indexed as

InternetPatient SelectionStudentsWeight LossAdolescentAdultCommunicationEfficiency, OrganizationalEthnicityFemaleHealth BehaviorHumansMaleMarketingRacial GroupsResearch DesignBehaviorClinical trial managementInterventionMarketingSocial mediaTechnology

Identifiers

PMID25866383
PMCPMC4450113

What OpenQuestion holds

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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.