Evidence map›Paper›PMID 27154349›Full record

SynthesisPreventive medicine2016

Participant-level meta-analysis of mobile phone-based interventions for smoking cessation across different countries.

Michele L Ybarra, Yannan Jiang, Caroline Free, Lorien C Abroms, Robyn Whittaker

Abstract readMeta-AnalysisReview
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Development and Pretesting of Risk-Based Mobile Multimedia Message Content for Young Adult Hookah Use.Health education & behavior : the official publication of the Society for Public Health Education · 2019
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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

5 authors.

Michele L YbarraCenter for Innovative Public Health Research, San Clemente, CA, USA. Electronic address: michele@innovativepublichealth.org.
Yannan JiangUniversity of Auckland, Auckland, New Zealand. Electronic address: y.jiang@auckland.ac.nz.
Caroline FreeLondon School of Hygiene and Tropical Medicine, London, England, UK. Electronic address: Caroline.Free@lshtm.ac.uk.
Lorien C AbromsMilken Institute School of Public Health at the George Washington University, USA. Electronic address: lorien@gwu.edu.
Robyn WhittakerUniversity of Auckland, Auckland, New Zealand. Electronic address: r.whittaker@nihi.auckland.ac.nz.

Funding

Using Email to Enhance Counseling Services at NCI's Smoking Cessation QuitlineK07CA124579 · NCI · GEORGE WASHINGTON UNIVERSITY · PI ABROMS, LORIEN C · 2008 to 2012
$751k
Smoking cessation via text messaging: feasibility testing of SMS USAR21CA135669 · NCI · CENTER FOR INNOVATIVE PUBLIC HEALTH RESEARCH · PI YBARRA, MICHELE L. · 2009 to 2010
$425k
SMS Turkey: Harnessing the power of TXT messaging to promote smoking cessationR01TW007918 · FIC · CENTER FOR INNOVATIVE PUBLIC HEALTH RESEARCH · PI YBARRA, MICHELE L. · 2007 to 2010
$350k
FIC NIH HHS R01 TW007918Medical Research Council 80492NCI NIH HHS K07 CA124579NCI NIH HHS R21 CA135669
6 · The paper itself

Abstract

With meta-analysis, participant-level data from five text messaging-based smoking cessation intervention studies were pooled to investigate cessation patterns across studies and participants. Individual participant data (N=8315) collected in New Zealand (2001-2003; n=1705), U.K. (2008-2009; n=5792), U.S. (2012; n=503; n=164) and Turkey (2012; n=151) were collectively analyzed in 2014. The primary outcome was self-reported 7-day continuous abstinence at 4weeks post-quit day. Secondary outcomes were: (1) self-reported 7-day continuous abstinence at 3months and (2) self-reported continuous abstinence at 6months post-quit day. Generalized linear mixed models were fit to estimate the overall treatment effect, while accounting for clustering within individual studies. Estimates were adjusted for age, sex, socioeconomic status, previous quit attempts, and baseline Fagerstrom score. Analyses were intention to treat. Participants lost to follow-up were treated as smokers. Twenty-nine percent of intervention participants and 12% of control participants quit smoking at 4weeks (adjusted odds ratio [aOR]=2.89, 95% CI [2.57, 3.26], p<.0001). An attenuated but significant effect for cessation for those in the intervention versus control groups was observed at 3months (aOR=1.88, 95% CI [1.53, 2.31]) and 6months (aOR=2.24, 95% CI [1.90, 2.64]). Subgroup analyses were conducted but few significant findings were noted. Text messaging-based smoking cessation programs increase self-reported quitting rates across a diversity of countries and cultures. Efforts to expand these low-cost and scalable programs, along with ongoing evaluation, appear warranted.

Indexed as

Smoking CessationTelemedicineCell PhoneCounselingGlobal HealthHumansRandomized Controlled Trials as TopicText MessagingIntegrative data analysismHealthMultinationalSmoking cessation

Identifiers

PMID27154349
PMCPMC4969103

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.