Evidence map›Paper›PMID 23529377›Full record

Trial reportJournal of medical Internet research2013

The effect of program design on engagement with an internet-based smoking intervention: randomized factorial trial.

Jennifer B McClure, Susan M Shortreed, Andy Bogart, Holly Derry, Karin Riggs, Jackie St John, Vijay Nair, Larry An

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00992264 (Optimizing an Online Motivational Tobacco Cessation Program), which is not on this map. Cited by 54 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 5 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.

NCT00992264 nacompletednot on this map

Optimizing an Online Motivational Tobacco Cessation Program

TypeinterventionalSponsorKaiser PermanenteRan2010 to 2013Enrolled1,865ConditionsSmokingArmsMessage Tone, Navigation, Proactive Outreach, Testimonials
3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Internet-based interventions for smoking cessation.The Cochrane database of systematic reviews · 2017
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Trial
  9. Measuring Acceptability and Engagement of The Keep It Up! Internet-Based HIV Prevention Randomized Controlled Trial for Young Men Who Have Sex With Men.AIDS education and prevention : official publication of the International Society for AIDS Education · 2019
    Trial
  10. Trial
  11. Improving Adherence to Smoking Cessation Treatment: Smoking Outcomes in a Web-based Randomized Trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2018
    Trial
  12. Trial
  13. Improving Adherence to Smoking Cessation Treatment: Intervention Effects in a Web-Based Randomized Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017
    Trial
  14. Trial
  15. Trial
  16. Trial
  17. Engagement with a social networking intervention for cancer-related distress.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2015
    Trial
  18. Trial
  19. Use of non-assigned interventions in a randomized trial of internet and telephone treatment for smoking cessation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2014
    Trial
  20. Exploring the "active ingredients" of an online smoking intervention: a randomized factorial trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2014
    Trial
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.

Jennifer B McClureGroup Health Research Institute, Seattle, WA 98101, USA. McClure.J@ghc.org
Susan M Shortreed
Andy Bogart
Holly Derry
Karin Riggs
Jackie St John
Vijay Nair
Larry An

Funding

Optimizing an online motivational tobacco cessation programR01CA138598 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI MCCLURE, JENNIFER B · 2009 to 2012
$2.3M
NCI NIH HHS R01 CA138598
6 · The paper itself

Abstract

backgroundParticipant engagement influences treatment effectiveness, but it is unknown which intervention design features increase treatment engagement for online smoking cessation programs.

objectiveWe explored the effects of 4 design features (ie, factors) on early engagement with an Internet-based, motivational smoking cessation program.

methodsSmokers (N=1865) were recruited from a large health care organization to participate in an online intervention study, regardless of their interest in quitting smoking. The program was intended to answer smokers' questions about quitting in an effort to motivate and support cessation. Consistent with the screening phase in the multiphase optimization strategy (MOST), we used a 2-level, full-factorial design. Each person was randomized to 1 of 2 levels of each factor, including message tone (prescriptive vs motivational), navigation autonomy (dictated vs not), proactive email reminders (yes vs no), and inclusion of personally tailored testimonials (yes vs no). The effects of each factor level on program engagement during the first 2 months of enrollment were compared, including number of visits to the website resulting in intervention content views (as opposed to supplemental content views), number of intervention content areas viewed, number of intervention content pages viewed, and duration of time spent viewing this content, as applicable to each factor.

resultsAdjusting for baseline readiness to quit, persons who received content written in a prescriptive tone made the same number of visits to the website as persons receiving content in a motivational tone, but viewed 1.17 times as many content areas (95% CI 1.08-1.28; P<.001) and 1.15 times as many pages (95% CI 1.04-1.28; P=.009). Time spent viewing materials did not differ among groups (P=.06). Persons required to view content in a dictated order based on their initial readiness to quit made the same number of visits as people able to freely navigate the site, but viewed fewer content areas (ratio of means 0.80, 95% CI 0.74-0.87; P<.001), 1.17 times as many pages (95% CI 1.06-1.31; P=.003), and spent 1.37 times more minutes online (95% CI 1.17-1.59; P<.001). Persons receiving proactive email reminders made 1.20 times as many visits (95% CI 1.09-1.33; P<.001), viewed a similar number of content areas as persons receiving no reminders, viewed 1.58 times as many pages (95% CI 1.48-1.68; P<.001), and spent 1.51 times as many minutes online (95% CI 1.29-1.77; P<.001) as those who did not receive proactive emails. Tailored testimonials did not significantly affect engagement.

conclusionsUsing a prescriptive message tone, dictating content viewing order, and sending reminder emails each resulted in greater program engagement relative to the contrasting level of each experimental factor. The results require replication, but suggest that a more directive interaction style may be preferable for online cessation programs.

trial registrationclinicaltrials.gov NCT00992264; http://clinicaltrials.gov/ct2/show/NCT00992264 (Archived by WebCite at http://www.webcitation.org/6F7H7lr3P).

Indexed as

InternetResearch DesignAdultFemaleHumansMaleMiddle AgedSmoking CessationUser-Computer Interface

Identifiers

PMID23529377
PMCPMC3636802

What OpenQuestion holds

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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.