Trial reportAmerican journal of public health2016
Diffusion of an Evidence-Based Smoking Cessation Intervention Through Facebook: A Randomized Controlled Trial.
Trial report in American journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 5 of them syntheses that pooled it.
What it found
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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.
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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.
Who cites it
19 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Online Patient Recruitment in Clinical Trials: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2020Pooled it
- Social media recruitment for mental health research: A systematic review.Comprehensive psychiatry · 2020Pooled it
- Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review.Social science & medicine (1982) · 2019Pooled it
- Systematic review of social media interventions for smoking cessation.Addictive behaviors · 2017Pooled it
- Internet-based interventions for smoking cessation.The Cochrane database of systematic reviews · 2017Pooled it
- Social Media Support Groups for Youth Nicotine Vaping Cessation: An RCT.American journal of preventive medicine · 2026Trial
- Outcomes and Device Usage for Fully Automated Internet Interventions Designed for a Smartphone or Personal Computer: The MobileQuit Smoking Cessation Randomized Controlled Trial.Journal of medical Internet research · 2019Trial
- Trial
- Protocol for a randomized clinical trial to evaluate the effectiveness of a technology-assisted motivational interviewing (TAMI) chatbot on smoking cessation.Contemporary clinical trials · 2025Article
- Theory-Based Social Media Intervention for Nonmedical Use of Prescription Opioids in Young Adults: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Association between social media use and health promotion among individuals with depression and anxiety: Insights from the 2017-2020 Health Information National Trends Survey.Journal of mood and anxiety disorders · 2023Article
- Evaluating Outcomes of a Social Media-Based Peer and Clinician-Supported Smoking Cessation Program in Preventing Smoking Relapse: Mixed Methods Case Study.JMIR formative research · 2021Article
- Being the Gatekeeper: How Thinking about Sharing Affects Neural Encoding of Information.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Effectiveness of Social Media Approaches to Recruiting Young Adult Cigarillo Smokers: Cross-Sectional Study.Journal of medical Internet research · 2020Article
- Which eHealth interventions are most effective for smoking cessation? A systematic review.Patient preference and adherence · 2018Review
- Harnessing Facebook for Smoking Reduction and Cessation Interventions: Facebook User Engagement and Social Support Predict Smoking Reduction.Journal of medical Internet research · 2017Article
- Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages.JMIR public health and surveillance · 2017Article
- The Efficacy of Smoking Cessation Interventions via Social Media.American journal of public health · 2017Article
- A Public Health of Consequence: Review of the June 2016 Issue of AJPH.American journal of public health · 2016Article
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Authors and funding
5 authors.
Funding
Abstract
objectivesTo examine the diffusion of an evidence-based smoking cessation application ("app") through Facebook social networks and identify specific intervention components that accelerate diffusion.
methodsBetween December 2012 and October 2013, we recruited adult US smokers ("seeds") via Facebook advertising and randomized them to 1 of 12 app variants using a factorial design. App variants targeted components of diffusion: duration of use (t), "contagiousness" (β), and number of contacts (Z). The primary outcome was the reproductive ratio (R), defined as the number of individuals installing the app ("descendants") divided by the number of a seed participant's Facebook friends.
resultsWe randomized 9042 smokers. App utilization metrics demonstrated between-variant differences in expected directions. The highest level of diffusion (R = 0.087) occurred when we combined active contagion strategies with strategies to increase duration of use (incidence rate ratio = 9.99; 95% confidence interval = 5.58, 17.91; P < .001). Involving nonsmokers did not affect diffusion.
conclusionsThe maximal R value (0.087) is sufficient to increase the numbers of individuals receiving treatment if applied on a large scale. Online interventions can be designed a priori to spread through social networks.
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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.