Evidence map›Paper›PMID 26928205›Full record

Trial reportTobacco control2017

Randomised controlled trial evaluation of Tweet2Quit: a social network quit-smoking intervention.

Cornelia Pechmann, Kevin Delucchi, Cynthia M Lakon, Judith J Prochaska

4 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Tobacco control, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 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.

NCT01602536 nacompletednot on this map

Twitter-enabled Mobile Messaging for Smoking Relapse Prevention

TypeinterventionalSponsorUniversity of California, IrvineRan2012 to 2014Enrolled160ConditionsSmokingArmssmoking cessation aides, Twitter
NCT03760224 nacompletednot on this mapstarted 2018, after this paper: background citation

Effectiveness of WhatsApp Online Group Discussion for Smoking Relapse Prevention: a Pragmatic Randomized Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2018 to 2021Enrolled928ConditionsSmoking CessationArmsWhatsApp group, SMS group
NCT06574243 completednot on this mapstarted 2022, after this paper: background citation

Positive Education Through Social Media to Reduce Negative Stereotypes Towards Old Age: a Quasi-experimental Study

TypeobservationalSponsorUniversidad de ZaragozaRan2022 to 2023Enrolled109ConditionsAgeismArmsSocial media education
NCT06952725 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Intelligent Chatbot for Online Support Groups to Treat Tobacco Addiction

TypeinterventionalSponsorUniversity of California, IrvineRan2026 to 2028Enrolled120ConditionsTobacco Dependence, Tobacco Use DisorderArmsonline quit-smoking support group with intelligent chatbot, online quit-smoking support group with unintelligent bot
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 2 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. Trial
  4. Trial
  5. Trial
  6. The Role of Seed Users in Nurturing an Online Health Community for Smoking Cessation Among People With HIV/AIDS.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2024
    Trial
  7. Facebook Intervention to Connect Alaska Native People With Resources and Support to Quit Smoking: CAN Quit Pilot Randomized Controlled Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial
  8. Trial
  9. Trial
  10. Connectedness Based on Shared Engagement Predicts Remote Biochemically Verified Quit Status Within Smoking Cessation Treatment Groups on Facebook.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Trial
  11. Trial
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Spanish-Language Tobacco-Related Posts on Twitter: Content Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  20. 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

4 authors.

Cornelia PechmannThe Paul Merage School of Business, University of California Irvine, Irvine, California, USA.
Kevin DelucchiDepartment of Psychiatry, University of California San Francisco, San Francisco, California, USA.
Cynthia M LakonProgram in Public Health, University of California Irvine, Irvine, California, USA.
Judith J ProchaskaDepartment of Medicine, Stanford Prevention Research Center, Stanford University, Stanford, California, USA.

Funding

Twitter-enabled Mobile Messaging for Smoking Relapse PreventionR34DA030538 · NIDA · UNIVERSITY OF CALIFORNIA-IRVINE · PI PECHMANN, CORNELIA · 2011 to 2013
$659k
NIDA NIH HHS R34 DA030538
6 · The paper itself

Abstract

backgroundWe evaluated a novel Twitter-delivered intervention for smoking cessation, Tweet2Quit, which sends daily, automated communications to small, private, self-help groups to encourage high-quality, online, peer-to-peer discussions.

designA 2-group randomised controlled trial assessed the net benefit of adding a Tweet2Quit support group to a usual care control condition of nicotine patches and a cessation website.

participantsParticipants were 160 smokers (4 cohorts of 40/cohort), aged 18-59 years, who intended to quit smoking, used Facebook daily, texted weekly, and had mobile phones with unlimited texting.

interventionAll participants received 56 days of nicotine patches, emails with links to the smokefree.gov cessation website, and instructions to set a quit date within 7 days. Additionally, Tweet2Quit participants were enrolled in 20-person, 100-day Twitter groups, and received daily discussion topics via Twitter, and daily engagement feedback via text. MEASURES: The primary outcome was sustained abstinence at 7, 30 and 60 days post-quit date.

resultsParticipants (mean age 35.7 years, 26.3% male, 31.2% college degree, 88.7% Caucasian) averaged 18.0 (SD=8.2) cigarettes per day and 16.8 (SD=9.8) years of smoking. Participants randomised to Tweet2Quit averaged 58.8 tweets/participant and the average tweeting duration was 47.4 days/participant. Tweet2Quit doubled sustained abstinence out to 60 days follow-up (40.0%, 26/65) versus control (20.0%, 14/70), OR=2.67, CI 1.19 to 5.99, p=0.017. Tweeting via phone predicted tweet volume, and tweet volume predicted sustained abstinence (p<0.001). The daily autocommunications caused tweeting spikes accounting for 24.0% of tweets.

conclusionsTweet2Quit was engaging and doubled sustained abstinence. Its low cost and scalability makes it viable as a global cessation treatment. TRIAL REGISTRATION NUMBER: NCT01602536.

Indexed as

Social MediaSocial SupportAdolescentAdultCell PhoneCohort StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPeer GroupSelf-Help GroupsSmoking CessationText MessagingTobacco Use Cessation DevicesAddictionCessationDenormalization

Identifiers

PMID26928205
PMCPMC5112138

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.