Evidence map›Paper›PMID 26561529›Full record

ArticleJournal of medical Internet research2015

Smoking Cessation Intervention on Facebook: Which Content Generates the Best Engagement?

Johannes Thrul, Alexandra B Klein, Danielle E Ramo

2 registry-linked trialsAbstract read
In one paragraph

Article in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing 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.

NCT03259360 nacompletednot on this mapstarted 2018, after this paper: background citation

A Facebook Intervention for Young Sexual and Gender Minority Smokers

TypeinterventionalSponsorUniversity of California, San FranciscoRan2018 to 2020Enrolled165ConditionsTobacco Use, Smoking, Tobacco Dependence, Tobacco Use DisorderArmsPOP:, TSP:
NCT03553992 nacompletednot on this mapstarted 2018, after this paper: background citation

An Extended Facebook Intervention for Young Sexual and Gender Minority Smokers

TypeinterventionalSponsorUniversity of California, San FranciscoRan2018 to 2019Enrolled173ConditionsTobacco Use, Smoking, Tobacco Dependence, Tobacco Use DisorderArmsPOP-6:, TSP-6:
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. 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
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  8. 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
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  12. Article
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  17. Review
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  19. Smokers' Engagement Behavior on Facebook: Verbalizing and Visual Expressing the Smoking Cessation Process.International journal of environmental research and public health · 2022
    Article
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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

3 authors.

Johannes ThrulCenter for Tobacco Control Research and Education, University of California, San Francisco, San Francisco, CA, United States. Johannes.Thrul@ucsf.edu.ORCID http://orcid.org/0000-0001-8929-9579

Funding

TREATMENTS FOR COMPLEX PATIENTS IN NEW SETTINGSP50DA009253 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUYDISH, JOSEPH R · 1994 to 2014
$28.2M
Postdoctoral training in tobacco controlR25CA113710 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLANTZ, STANTON ARNOLD · 2006 to 2015
$5.4M
Postdoctoral training in tobacco controlT32CA113710 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2016 to 2020
$2.6M
Social Media Intervention for Young Adult SmokersK23DA032578 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RAMO, DANIELLE E · 2012 to 2016
$927k
NCI NIH HHS CA113710NCI NIH HHS R25 CA113710NCI NIH HHS T32 CA113710NIDA NIH HHS K23 DA032578NIDA NIH HHS P50 DA009253NIDA NIH HHS P50 DA09253
6 · The paper itself

Abstract

backgroundSocial media offer a great opportunity to deliver smoking cessation treatment to young adults, but previous online and social media interventions targeting health behavior change have struggled with low participant engagement. We examined engagement generated by content based on the Transtheoretical Model of Behavior Change (TTM) in a motivationally tailored smoking cessation intervention on Facebook.

objectiveThis study aimed to identify which intervention content based on the TTM (Decisional Balance and 10 processes of change) generated the highest engagement among participants in pre-action stages of change (Precontemplation, Contemplation, and Preparation).

methodsParticipants (N=79, 20% female, mean age 20.8) were assessed for readiness to quit smoking and assigned to one of 7 secret Facebook groups tailored to their stage of change. Daily postings to the groups based on TTM Decisional Balance and the 10 processes of change were made by research staff over 3 months. Engagement was operationalized as the number of participant comments to each post. TTM content-based predictors of number of comments were analyzed and stratified by baseline stage of change, using negative binomial regression analyses with and without zero inflation.

resultsA total of 512 TTM-based posts generated 630 individual comments. In Precontemplation and Contemplation groups, Decisional Balance posts generated above average engagement (P=.01 and P<.001). In Contemplation groups, posts based on the TTM processes Dramatic Relief and Self-Liberation resulted in below average engagement (P=.01 and P=.005). In Preparation groups, posts based on Consciousness Raising generated above average engagement (P=.009). Participant engagement decreased over time and differed between groups within Precontemplation and Contemplation stages, but was independent of day of the week and time of day the content was posted to the groups. No participant baseline characteristics significantly predicted engagement.

conclusionsParticipants not ready to quit in the next 30 days (in Precontemplation or Contemplation) engaged most when prompted to think about the pros and cons of behavior change, while those in the Preparation stage engaged most when posts increased awareness about smoking and smoking cessation. Findings support tailoring intervention content to readiness to quit and suggest intervention components that may be most effective in generating high participant engagement on social media.

Indexed as

AdultFemaleHealth PromotionHumansInternetMaleMotivationSmoking CessationSocial MediaYoung AdultengagementFacebooksmoking cessationTranstheoretical Modelyoung adults

Identifiers

PMID26561529
PMCPMC4704894

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.