Evidence map›Paper›PMID 27207211›Full record

ReviewJMIR mHealth and uHealth2016

Text Messaging-Based Interventions for Smoking Cessation: A Systematic Review and Meta-Analysis.

Lori A J Scott-Sheldon, Ryan Lantini, Ernestine G Jennings, Herpreet Thind, Rochelle K Rosen, Elena Salmoirago-Blotcher, Beth C Bock

2 registry-linked trialsOpen access · goldAbstract readReview
In one paragraph

Review in JMIR mHealth and uHealth, 2016. 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 145 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 11 pooled it
50.6field-weighted citation impact, top 1% of its field
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.

NCT03800719 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Personalized Support Using Instant Messaging Applications to Increase Smoking Cessation in Smokers Proactively Recruited From Smoking Hotspots in Hong Kong: a Pragmatic Randomized Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2018 to 2020Enrolled696ConditionsSmoking CessationArmsAWARD advice, Health warning leaflet, Active referral to smoking cessation (SC) services, Regular messages through Instant Messaging (IM), Psychosocial support and referral to SC services through IM
NCT05997901 nacompletednot on this mapstarted 2024, after this paper: background citation

Helping People Adhere to Their Varenicline Treatment by Co-creating a Conversational Agent: A Feasibility Study

TypeinterventionalSponsorCentre for Addiction and Mental HealthRan2024 to 2025Enrolled40ConditionsMedication Adherence, Smoking CessationArmsVarenicline healthbot
3 · Its place in the literature

Who cites it

145 citing papers in PubMed, 11 syntheses or guidelines pooled it, 264 citations in OpenAlex.

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  15. Effects of a Tailored Mobile Messaging Intervention for Indoor Tanning Cessation in Young Females: A Randomized Clinical Trial.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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85 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

7 authors at 2 institutions in 1 country.

Lori A J Scott-SheldonCenters for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI, United States. lori_scott-sheldon@brown.edu.ORCID http://orcid.org/0000-0003-1524-3374
Brown University · USMiriam Hospital · US

Funding

Examining a Text Message Intervention for Smoking CessationR21DA027142 · NIDA · MIRIAM HOSPITAL · PI BOCK, BETH C · 2009 to 2010
$361k
NIDA NIH HHS R21 DA027142
6 · The paper itself

Abstract

backgroundTobacco use is one of the leading preventable global health problems producing nearly 6 million smoking-related deaths per year. Interventions delivered via text messaging (short message service, SMS) may increase access to educational and support services that promote smoking cessation across diverse populations.

objectiveThe purpose of this meta-analysis is to (1) evaluate the efficacy of text messaging interventions on smoking outcomes, (2) determine the robustness of the evidence, and (3) identify moderators of intervention efficacy.

methodsElectronic bibliographic databases were searched for records with relevant key terms. Studies were included if they used a randomized controlled trial (RCT) to examine a text messaging intervention focusing on smoking cessation. Raters coded sample and design characteristics, and intervention content. Summary effect sizes, using random-effects models, were calculated and potential moderators were examined.

resultsThe meta-analysis included 20 manuscripts with 22 interventions (N=15,593; 8128 (54%) women; mean age=29) from 10 countries. Smokers who received a text messaging intervention were more likely to abstain from smoking relative to controls across a number of measures of smoking abstinence including 7-day point prevalence (odds ratio (OR)=1.38, 95% confidence interval (CI)=1.22, 1.55, k=16) and continuous abstinence (OR=1.63, 95% CI=1.19, 2.24, k=7). Text messaging interventions were also more successful in reducing cigarette consumption relative to controls (d+=0.14, 95% CI=0.05, 0.23, k=9). The effect size estimates were biased when participants who were lost to follow-up were excluded from the analyses. Cumulative meta-analysis using the 18 studies (k=19) measuring abstinence revealed that the benefits of using text message interventions were established only after only five RCTs (k=5) involving 8383 smokers (OR=1.39, 95% CI=1.15, 1.67, P<.001). The inclusion of the subsequent 13 RCTs (k=14) with 6870 smokers did not change the established efficacy of text message interventions for smoking abstinence (OR=1.37, 95% CI=1.25, 1.51, P<.001). Smoking abstinence rates were stronger when text messaging interventions (1) were conducted in Asia, North America, or Europe, (2) sampled fewer women, and (3) recruited participants via the Internet.

conclusionsThe evidence for the efficacy of text messaging interventions to reduce smoking behavior is well-established. Using text messaging to support quitting behavior, and ultimately long-term smoking abstinence, should be a public health priority.

Indexed as

cigarette smokinginterventionmeta-analysissmoking cessationtext messaging

Identifiers

PMID27207211
PMCPMC4893152
OpenAlexW2404549786

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.