Evidence map›Paper›PMID 30143479›Full record

Trial reportJournal of medical Internet research2018

Participant Recruitment and Retention in Remote eHealth Intervention Trials: Methods and Lessons Learned From a Large Randomized Controlled Trial of Two Web-Based Smoking Interventions.

Noreen L Watson, Kristin E Mull, Jaimee L Heffner, Jennifer B McClure, Jonathan B Bricker

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report 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. It is linked to trial NCT01812278 (Randomized Trial of Web-Delivered Acceptance Therapy for Smoking Cessation), which is not on this map. Cited by 93 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing 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.

NCT01812278 nacompletednot on this map

Randomized Trial of Web-Delivered Acceptance Therapy for Smoking Cessation

TypeinterventionalSponsorFred Hutchinson Cancer CenterRan2014 to 2019Enrolled2,637ConditionsSmokingArmsACT, CBT
3 · Its place in the literature

Who cites it

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

  1. Guideline
  2. Pooled it
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  5. An exploratory study to understand how rurality status and demographic characteristics are associated with enrollment, engagement, and retention in a digital health intervention targeting the Appalachian region.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Trial
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  7. Effects of an Increased Financial Incentive on Follow-up in an Online, Automated Smoking Cessation Trial: A randomized Controlled Study Within a Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Trial
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  11. An Automated, Online Feasibility Randomized Controlled Trial of a Just-In-Time Adaptive Intervention for Smoking Cessation (Quit Sense).Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial
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  14. Efficacy and Utilization of Smartphone Applications for Smoking Cessation Among American Indians and Alaska Natives: Results From the iCanQuit Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Trial
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33 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.

Noreen L WatsonFred Hutchinson Cancer Research Center, Seattle, WA, United States.ORCID 0000-0002-4563-0239
Kristin E MullFred Hutchinson Cancer Research Center, Seattle, WA, United States.ORCID 0000-0002-7918-3078
Jaimee L HeffnerFred Hutchinson Cancer Research Center, Seattle, WA, United States.ORCID 0000-0001-9604-5489
Jennifer B McClureKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0002-2094-9147
Jonathan B BrickerFred Hutchinson Cancer Research Center, Seattle, WA, United States.ORCID 0000-0002-5694-8795

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI Irene M. Ghobrial · 1985 to 2026
$330.6M
Telephone-Delivered Acceptance and Commitment Therapy for Smoking CessationR01DA038411 · NIDA · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRICKER, JONATHAN B · 2015 to 2019
$3.5M
Randomized Trial of Web-Delivered Acceptance Therapy for Smoking CessationR01CA166646 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRICKER, JONATHAN B · 2013 to 2017
$3.4M
Randomized Trial of an Innovative Smartphone Intervention for Smoking CessationR01CA192849 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRICKER, JONATHAN B · 2015 to 2019
$3.1M
Development of a Targeted, Web-Based Intervention for Smokers with Social Anxiety Disorder Using Acceptance and Commitment TherapyF32DA041100 · NIDA · FRED HUTCHINSON CANCER RESEARCH CENTER · PI WATSON, NOREEN · 2016 to 2018
$188k
NCI NIH HHS P30 CA006516NCI NIH HHS R01 CA166646NCI NIH HHS R01 CA192849NIDA NIH HHS F32 DA041100NIDA NIH HHS R01 DA038411
6 · The paper itself

Abstract

backgroundDespite having many advantages, online eHealth trials are not without challenges-notably, participant recruitment, and outcome data retention. Moreover, publications from these trials rarely provide detailed information on the methods used for recruitment and retention or discuss implications of the methods for future studies.

objectiveTo address this need for empirical guidance regarding recruitment and outcome data retention planning, we aim to describe the methods and lessons learned from the recruitment and retention procedures used in a large randomized trial of 2 Web-based smoking cessation interventions.

methodsTo ensure a demographically and geographically diverse participant sample, we used the recruitment strategies (1) traditional, (2) Web-based, and (3) online survey panel methods and adaptively modified each in response to recruitment success. At baseline, participants indicated how they heard about the study and answered demographic questions. To maximize trial retention at each of the 3-, 6-, and 12-month assessment points, 4 survey modalities (first Web, followed by phone, mail, and postcard) were sequentially timed over a 30-day period. Participants received US $25 for submitting their responses, regardless of modality, and received an additional US $10 bonus for completing the Web survey within 24h of electronic notification.

resultsWe randomized 2637 smokers in 16 months and achieved 88% retention at 12-months. Participants (79.26% female, 72.60% Caucasian) were recruited from all 50 states. The majority of participants were recruited through Facebook (49.43%), followed by the survey panel (20.85%), free internet sources (14.54%), traditional media (11.34%), and Google ads (3.84%). Descriptively, participant demographics varied by recruitment source. Of the completed follow-up surveys, most were completed by Web (92%). Retention rates did not vary by recruitment source.

conclusionsContinuous monitoring and refinement of multiple recruitment methods, particularly of online advertising campaigns, allowed us to maximize the effectiveness of recruitment strategies in recruiting a large, diverse sample of smokers. Likewise, offering multiple follow-up survey modalities in sequential order along with time-dependent bonus incentives enabled us to obtain outcome data from a very high level of enrolled participants for the duration of the trial protocol. These strategies may be similarly useful in other trials.

trial registrationClinicalTrials.gov NCT01812278; https://clinicaltrials.gov/ct2/show/NCT01812278 (Archived by WebCite at http://www.webcitation.org/71gy5GLvO).

Indexed as

FemaleHumansInternetMaleMiddle AgedPatient SelectionSmoking CessationTelemedicineTobacco Smokingrandomized controlled trialRCTrecruitmentretentionsmoking cessationweb intervention

Identifiers

PMID30143479
PMCPMC6128955

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.