Evidence map›Paper›PMID 24350804›Full record

Trial reportTelemedicine journal and e-health : the official journal of the American Telemedicine Association2014

Randomized trial of a smartphone mobile application compared to text messaging to support smoking cessation.

David B Buller, Ron Borland, Erwin P Bettinghaus, James H Shane, Donald E Zimmerman

Abstract readComparative StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 13 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

119 citing papers in PubMed, 13 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Smoking Cessation Apps: A Systematic Review of Format, Outcomes, and Features.International journal of environmental research and public health · 2021
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  8. Tobacco cessation interventions for young people.The Cochrane database of systematic reviews · 2017
    Pooled it
  9. Internet-based interventions for smoking cessation.The Cochrane database of systematic reviews · 2017
    Pooled it
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  13. Mobile phone-based interventions for smoking cessation.The Cochrane database of systematic reviews · 2016
    Pooled it
  14. Associations between morning affect and later-day smoking urges and behavior.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
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59 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

5 authors.

David B Buller1 Klein Buendel, Inc., Golden, Colorado.
Ron Borland
Erwin P Bettinghaus
James H Shane
Donald E Zimmerman

Funding

Randomized Trial on Web-based Quit Smoking ProgramR01CA107444 · NCI · KLEIN BUENDEL, INC. · PI BULLER, DAVID B · 2005 to 2010
$3.5M
NCI NIH HHS CA107444NCI NIH HHS R01 CA107444
6 · The paper itself

Abstract

backgroundText messaging has successfully supported smoking cessation. This study compares a mobile application with text messaging to support smoking cessation. MATERIALS AND

methodsYoung adult smokers 18-30 years old (n = 102) participated in a randomized pretest-posttest trial. Smokers received a smartphone application (REQ-Mobile) with short messages and interactive tools or a text messaging system (onQ), managed by an expert system. Self-reported usability of REQ-Mobile and quitting behavior (quit attempts, point-prevalence, 30-day point-prevalence, and continued abstinence) were assessed in posttests.

resultsOverall, 60% of smokers used mobile services (REQ-Mobile, 61%, mean of 128.5 messages received; onQ, 59%, mean of 107.8 messages), and 75% evaluated REQ-Mobile as user-friendly. A majority of smokers reported being abstinent at posttest (6 weeks, 53% of completers; 12 weeks, 66% of completers [44% of all cases]). Also, 37% (25%of all cases) reported 30-day point-prevalence abstinence, and 32% (22% of all cases) reported continuous abstinence at 12 weeks. OnQ produced more abstinence (p<0.05) than REQ-Mobile. Use of both services predicted increased 30-day abstinence at 12 weeks (used, 47%; not used, 20%; p = 0.03).

conclusionsREQ-Mobile was feasible for delivering cessation support but appeared to not move smokers to quit as quickly as text messaging. Text messaging may work better because it is simple, well known, and delivered to a primary inbox. These advantages may disappear as smokers become more experienced with new handsets. Mobile phones may be promising delivery platforms for cessation services using either smartphone applications or text messaging.

Indexed as

Cell PhoneMobile ApplicationsSmoking CessationText MessagingAdolescentAdultFemaleHumansMaleSurveys and QuestionnairesYoung Adult

Identifiers

PMID24350804
PMCPMC3934597

What OpenQuestion holds

Textmetadata
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.