Evidence map›Paper›PMID 30389650›Full record

ArticleJournal of medical Internet research2018

A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Simple Architecture (Part 1).

Hannah L Palac, Nameyeh Alam, Susan M Kaiser, Jody D Ciolino, Emily G Lattie, David C Mohr

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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  5. Article
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  8. Article
  9. Primary care perspectives on implementation of clinical trial recruitment.Journal of clinical and translational science · 2020
    Article
  10. 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

6 authors.

Hannah L PalacAbbVie Inc, North Chicago, IL, United States.ORCID 0000-0003-1314-3329
Nameyeh AlamCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0001-5179-5972
Susan M KaiserCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0002-5749-2072
Jody D CiolinoDivision of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0002-9060-5657
Emily G LattieCenter for Behavioral Intervention Technologies, Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0002-3069-5996
David C MohrCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0002-5443-7596

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Stepped Telemental Health Care Intervention for DepressionR01MH095753 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MOHR, DAVID CURTIS · 2012 to 2016
$3.4M
Artificial Intelligence in a Mobile Intervention for Depression (AIM)R01MH100482 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MOHR, DAVID CURTIS · 2013 to 2017
$3.1M
Expanding College Student Mental Health with Stress Management Mobile TechnologiesK08MH112878 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LATTIE, EMILY GARDINER · 2017 to 2021
$746k
NCATS NIH HHS UL1 TR001422NIMH NIH HHS K08 MH112878NIMH NIH HHS R01 MH095753NIMH NIH HHS R01 MH100482
6 · The paper itself

Abstract

backgroundThe ability to identify, screen, and enroll potential research participants in an efficient and timely manner is crucial to the success of clinical trials. In the age of the internet, researchers can be confronted with large numbers of people contacting the program, overwhelming study staff and frustrating potential participants.

objectiveThis paper describes a "do-it-yourself" recruitment support framework (DIY-RSF) that uses tools readily available in many academic research settings to support remote participant recruitment, prescreening, enrollment, and management across multiple concurrent eHealth clinical trials.

methodsThis work was conducted in an academic research center focused on developing and evaluating behavioral intervention technologies. A needs assessment consisting of unstructured individual and group interviews was conducted to identify barriers to recruitment and important features for the new system.

resultsWe describe a practical and adaptable recruitment management architecture that used readily available software, such as REDCap (Research Electronic Data Capture) and standard statistical software (eg, SAS, R), to create an automated recruitment framework that supported prescreening potential participants, consent to join a research registry, triaging for management of multiple trials, capture of eligibility information for each phase of a recruitment pipeline, and staff management tools including monitoring of participant flow and task assignment/reassignment features. The DIY-RSF was launched in July 2015. As of July 2017, the DIY-RSF has supported the successful recruitment efforts for eight trials, producing 14,557 participant records in the referral tracking database and 5337 participants in the center research registry. The DIY-RSF has allowed for more efficient use of staff time and more rapid processing of potential applicants.

conclusionsUsing tools already supported at many academic institutions, we describe the architecture and utilization of an adaptable referral management framework to support recruitment for multiple concurrent clinical trials. The DIY-RSF can serve as a guide for leveraging common technologies to improve clinical trial recruitment procedures.

Indexed as

Clinical Trials as TopicDatabases, FactualFemaleHumansInternetMaleTelemedicineeHealthmHealthonline recruitmentREDCapreferral management

Identifiers

PMID30389650
PMCPMC6238104

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.