Evidence map›Paper›PMID 30497997›Full record

ArticleJournal of medical Internet research2018

A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Identification of Efficient and Cost-Effective Methods for Decision Making (Part 2).

Emily G Lattie, Susan M Kaiser, Nameyeh Alam, Kathryn N Tomasino, Elizabeth Sargent, Caryn Kseniya Rubanovich, Hannah L Palac, 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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
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  5. Participant recruitment for paediatric research using social media: A practical 'how-to' guide for researchers.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2023
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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

8 authors.

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
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
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
Kathryn N TomasinoCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0002-4905-8807
Elizabeth SargentCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0002-6510-6952
Caryn Kseniya RubanovichCenter for Behavioral Intervention Technologies, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0002-0975-6416
Hannah L PalacAbbVie Inc, North Chicago, IL, United States.ORCID 0000-0003-1314-3329
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

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Improving Clinical trial Education, Recruitment, and Enrollment at CTSA Hubs (I-CERCH) - HEAL SupplementU24TR001579 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HARRIS, PAUL A., WILKINS, CONSUELO HOPKINS · 2016 to 2022
$34.1M
Boston University Clinical and Translational Science Award (CTSA) Program UL1UL1TR000157 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CENTER, DAVID M. · 2012 to 2013
$7.9M
Technology Assisted intervention for the Treatment and Prevention of DepressionP20MH090318 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MOHR, DAVID CURTIS · 2011 to 2015
$4.7M
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 U24 TR001579NCATS NIH HHS UL1 TR000157NCATS NIH HHS UL1 TR000445NIMH NIH HHS K08 MH112878NIMH NIH HHS P20 MH090318NIMH NIH HHS R01 MH095753NIMH NIH HHS R01 MH100482
6 · The paper itself

Abstract

backgroundThe ability to successfully recruit participants for electronic health (eHealth) clinical trials is largely dependent on the use of efficient and effective recruitment strategies. Determining which types of recruitment strategies to use presents a challenge for many researchers.

objectiveThe aim of this study was to present an analysis of the time-efficiency and cost-effectiveness of recruitment strategies for eHealth clinical trials, and it describes a framework for cost-effective trial recruitment.

methodsParticipants were recruited for one of 5 eHealth trials of interventions for common mental health conditions. A multipronged recruitment approach was used, including digital (eg, social media and Craigslist), research registry-based, print (eg, flyers and posters on public transportation), clinic-based (eg, a general internal medicine clinic within an academic medical center and a large nonprofit health care organization), a market research recruitment firm, and traditional media strategies (eg, newspaper and television coverage in response to press releases). The time costs and fees for each recruitment method were calculated, and the participant yield on recruitment costs was calculated by dividing the number of enrolled participants by the total cost for each method.

resultsA total of 777 participants were enrolled across all trials. Digital recruitment strategies yielded the largest number of participants across the 5 clinical trials and represented 34.0% (264/777) of the total enrolled participants. Registry-based recruitment strategies were in second place by enrolling 28.0% (217/777) of the total enrolled participants across trials. Research registry-based recruitment had a relatively high conversion rate from potential participants who contacted our center for being screened to be enrolled, and it was also the most cost-effective for enrolling participants in this set of clinical trials with a total cost per person enrolled at US $8.99.

conclusionsOn the basis of these results, a framework is proposed for participant recruitment. To make decisions on initiating and maintaining different types of recruitment strategies, the resources available and requirements of the research study (or studies) need to be carefully examined.

Indexed as

AdultClinical Trials as TopicCost-Benefit AnalysisDecision MakingFemaleHumansMaleTelemedicineeHealthmental healthmHealthrecruitment

Identifiers

PMID30497997
PMCPMC6293245

What OpenQuestion holds

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LicenceCC BY
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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.